WO2002005713A1 - Instrument de diagnostic de champ magnetique cardiaque pour fibrillation et flutter auriculaires ; methode d'identification de chemin de retour electrique pour flutter et fibrillation auriculaires - Google Patents
Instrument de diagnostic de champ magnetique cardiaque pour fibrillation et flutter auriculaires ; methode d'identification de chemin de retour electrique pour flutter et fibrillation auriculaires Download PDFInfo
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- WO2002005713A1 WO2002005713A1 PCT/JP2001/006192 JP0106192W WO0205713A1 WO 2002005713 A1 WO2002005713 A1 WO 2002005713A1 JP 0106192 W JP0106192 W JP 0106192W WO 0205713 A1 WO0205713 A1 WO 0205713A1
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Classifications
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- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
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- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/242—Detecting biomagnetic fields, e.g. magnetic fields produced by bioelectric currents
- A61B5/243—Detecting biomagnetic fields, e.g. magnetic fields produced by bioelectric currents specially adapted for magnetocardiographic [MCG] signals
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- A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
- A61B6/503—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of the heart
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- A61B6/5229—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image
- A61B6/5247—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound
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- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
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- A61B5/743—Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
Definitions
- the present invention relates to a cardiac magnetic field diagnostic apparatus and a method for identifying an electric circuit, and more specifically, a three-dimensional generation position of an abnormal excitation propagation circuit in the myocardium that causes atrial flutter and atrial fibrillation.
- Field of the Invention The present invention relates to a cardiac magnetic field diagnostic device for non-invasively diagnosing a subject by non-contact magnetic measurement and a method for identifying an electric circuit.
- ECG is an indirect measurement method.
- the tissue existing from the heart to the body surface, the positional relationship between the heart and other organs and bones, the size of the heart, the electrical conductivity of each tissue of the human body, etc. vary greatly from subject to subject. It was extremely difficult to accurately determine the location of the affected area using information obtained through indirect measurements such as the one described above.
- a method in which a needle electrode is directly pierced or a reticulated electrode is brought into contact with the heart exposed by surgical thoracotomy to measure myocardial potentials at multiple points simultaneously and accurately estimate the location of the affected area is adopted.
- thoracotomy itself is a heavy burden on the patient, and it takes a long time to perform multiple simultaneous myocardial potential measurements and data analysis for identifying the location of the diseased part performed during the thoracotomy. But There is a problem that it takes a long time.
- catheter ablation In addition, diagnostic and therapeutic methods using catheters have recently been adopted as other direct methods.
- a catheter equipped with an electrode and a heater at the tip of a catheter is inserted into the body of a subject, and an electrophysiological examination is performed while performing fluoroscopy of the chest to identify the position of the affected area and use high frequency waves.
- rapid treatment is performed by rapidly heating the target site using a method called catheter ablation.
- Atrial flutter and atrial fibrillation are known to be caused by the formation of abnormal excitation propagation circuits in the myocardium. More specifically, atrial flutter is caused by the formation of an abnormal electrical circuit called the macro re-entry circuit around the tricuspid annulus, and atrial fibrillation is caused by atrial It is caused by the formation of an abnormal electrical circuit called a micro re-entry circuit (multiple wavelet theory). Recent studies have shown that in the early stages of paroxysmal atrial fibrillation, enhanced firing in local pulmonary veins may be triggered.
- a SQUID magnetometer using a superconducting Quantum Interference Device (hereinafter abbreviated as SQUID), which can detect magnetic flux of about one billionth of geomagnetism with high sensitivity.
- SQUID superconducting Quantum Interference Device
- the current activity in the myocardium is visualized from the magnetocardiogram distribution shown in the magnetocardiogram in order to identify the location of the abnormal excitation propagation circuit in the myocardium that causes the diagnosis.
- Methods have been proposed.
- One such method has been to use one or more current dipoles to mimic and visualize a magnetic field source.
- the number and the position of each circuit cannot be identified accurately.
- such a method has a problem that the imitation result of the magnetic field source differs depending on the set initial value.
- an object of the present invention is to provide a method for diagnosing atrial flutter and atrial fibrillation based on three-dimensional electrical activity in the myocardium obtained by noninvasive magnetic measurement.
- An object of the present invention is to provide a cardiac magnetic field diagnostic apparatus and a method for identifying an electric circuit, which can safely, quickly and accurately identify a positional relationship of an abnormal electric circuit in a computer. Disclosure of the invention
- a cardiac magnetic field diagnostic device for atrial flutter and atrial fibrillation includes a magnetic field distribution measuring device, a first arithmetic device, a second arithmetic device, and a display device.
- the magnetic field distribution measuring means obtains a plurality of magnetic field time series data corresponding to a plurality of coordinates by non-contact magnetic measurement at a plurality of coordinates on the subject's chest, and obtains a magnetic field on the chest based on the plurality of magnetic field time series data. Generate distribution time series data.
- the first arithmetic unit calculates the three-dimensional electrical activity state in the subject's myocardium based on the generated magnetic field distribution time-series data. Is generated.
- the second processing device processes the separately supplied chest tomographic image data of the subject to generate data indicating an anatomical image.
- the display device superimposes the image of the three-dimensional electrical activity state in the myocardium indicated by the data generated by the first arithmetic device on the anatomical image indicated by the data generated by the second arithmetic device. Display processing to be performed. This allows three-dimensional identification of abnormal electrical circuits in the myocardium.
- the data indicating the three-dimensional electrical activity state in the myocardium generated by the first arithmetic unit is time-series data of a current density distribution in the myocardium
- the display device includes Based on the sequence data, three-dimensionally display the positions of multiple abnormal electrical turning tracks on the anatomical image.
- a cardiac magnetic field diagnostic device for atrial flutter and atrial fibrillation includes a magnetic field distribution measuring device, an arithmetic device, and a display device.
- the magnetic field distribution measuring device acquires a plurality of magnetic field time series data corresponding to a plurality of coordinates by non-contact magnetic measurement at a plurality of coordinates on the subject's chest, and obtains a plurality of magnetic field time series data based on the plurality of magnetic field time series data.
- the magnetic field distribution time series data is generated.
- the arithmetic unit generates data indicating a three-dimensional electrical activity state in the myocardium of the subject based on the generated magnetic field distribution time series data.
- the display device Based on the data generated by the arithmetic unit, the display device displays an image showing a stimulus propagation path from the sinus node of the subject's heart to the His bundle-Purkinje fiber system, and an image showing an abnormal electrical circuit in the myocardium. Are displayed in a superimposed manner.
- abnormal electrical circuits in the myocardium can be identified three-dimensionally.
- the data indicating the three-dimensional electrical activity state in the myocardium generated by the arithmetic device is current density distribution time-series data in the myocardium, and the display device is configured based on the current density distribution time-series data. Then, the positions of multiple abnormal electrical circuits are displayed three-dimensionally on an image showing the stimulus propagation path.
- a method of identifying an electrical circuit of atrial flutter and atrial fibrillation includes a method of identifying a plurality of coordinates corresponding to a plurality of coordinates obtained by non-contact magnetic measurement at a plurality of coordinates on a subject's chest.
- Generating first data indicating a three-dimensional electrical activity state in the myocardium of the subject based on the magnetic field distribution time series data on the chest generated based on the magnetic field time series data of the subject; and Chest tomographic image data of the subject Processing the data to generate second data representing an anatomical image; and converting the three-dimensional electrical activity image in the myocardium indicated by the first data to an anatomical image represented by the second data.
- the three-dimensional electrical activity state in the myocardium indicated by the first data is a current density distribution in the myocardium.
- a method for identifying an electric circuit of atrial flutter and atrial fibrillation corresponds to a plurality of coordinates obtained by non-contact magnetic measurement at a plurality of coordinates on a subject's chest.
- the three-dimensional electrical activity state in the myocardium indicated by the data is a current density distribution in the myocardium.
- an image showing the three-dimensional electrical activity state in the myocardium obtained by non-invasive magnetic measurement is used to convert chest tomographic image data of the same subject taken by another medical diagnostic apparatus.
- the doctor can safely and safely determine the positional relationship in the myocardium of the abnormal electrical circuit that causes atrial flutter and atrial fibrillation. It becomes possible to identify quickly and with high accuracy.
- an image showing a three-dimensional electrical activity state in the myocardium obtained by non-invasive magnetic measurement is used as a stimulus propagation path from the sinus node of the same subject's heart to the His bundle-Purkin fiber system.
- FIG. 1 is a functional block diagram schematically showing a configuration of a cardiac magnetic field diagnostic apparatus for atrial flutter and atrial fibrillation according to Embodiment 1 of the present invention.
- FIG. 2 is a block diagram showing a more specific configuration of the cardiac magnetic field diagnostic device shown in FIG.
- FIG. 3 is a block diagram showing a detailed configuration of the magnetic field distribution measuring device shown in FIG.
- FIG. 4 is a diagram showing an example of the arrangement of a plurality of magnetic field sensors on the front of the chest of the subject.
- FIG. 5 is a diagram showing magnetic field time-series data obtained from each of the plurality of sensors in FIG.
- FIG. 6 is a diagram schematically illustrating a method of calculating current density data from magnetic field time-series data.
- FIG. 7A and 7B are diagrams showing examples of a three-dimensional anatomical image displayed on the display device 4.
- FIG. 7A and 7B are diagrams showing examples of a three-dimensional anatomical image displayed on the display device 4.
- FIG. 8 is a tomogram showing one section of the three-dimensional anatomical image shown in FIGS. 7A and 7B.
- FIG. 9 is a flow chart for explaining the operation of the cardiac magnetic field diagnostic device according to Embodiment 1 of the present invention.
- FIG. 10 is a functional block diagram schematically showing a configuration of a cardiac magnetic field diagnostic apparatus for atrial flutter and atrial fibrillation according to Embodiment 2 of the present invention.
- FIG. 11 is a block diagram showing a more specific configuration of the cardiac magnetic field diagnostic device according to the second embodiment of the present invention shown in FIG.
- FIGS. 12A and 12B are diagrams schematically showing a normal stimulus propagation path and an electrocardiogram waveform in the heart.
- FIG. 13 is a diagram showing an image of the normal stimulus propagation path and the abnormal electric circuit actually displayed by the display device 6.
- FIG. 14 is a flowchart illustrating the operation of the cardiac magnetic field diagnostic device according to the second embodiment.
- FIG. 15 is a flowchart illustrating the operation of the cardiac magnetic field diagnostic device according to the second embodiment.
- FIG. 1 is a functional block diagram schematically showing a configuration of a cardiac magnetic field diagnostic device for atrial flutter and atrial fibrillation according to Embodiment 1 of the present invention.
- the magnetic field distribution measurement device 1 performs non-contact magnetic measurement at a plurality of coordinates on a subject's chest using measurement means such as a SQUID magnetometer described in detail below. A plurality of magnetic field time series data corresponding to the coordinates of. Then, based on the plurality of acquired magnetic field time-series data, the time-series data on the chest, that is, the magnetic field distribution of the cardiac magnetic field is generated and output.
- the first arithmetic device 2 uses, for example, various known calculation methods described below to calculate the three-dimensional Generate and output first data indicating an electrical activity state.
- chest tomographic image data (multiple tomographic images of the same subject) obtained separately by tomographic diagnostic equipment such as nuclear magnetic resonance (MR I), Xf spring CT, echocardiography, and myocardial SPECT )
- MR I nuclear magnetic resonance
- Xf spring CT Xf spring CT
- echocardiography Xf spring CT
- myocardial SPECT Xf spring CT
- second arithmetic unit 3 which processes the tomographic image data to generate and output second data indicating a three-dimensional anatomical image. I do.
- the electrical activity state obtained by the first arithmetic unit 2 is, for example, a current density distribution in the myocardium
- the density of the image representing the current density distribution By paying attention to the local turning of the electric circuit, three-dimensional identification of the electric circuit is possible.
- the display device 4 is configured to generate an image showing three-dimensional electrical activity (for example, current density distribution) in the myocardium indicated by the first data generated by the first arithmetic device by the second arithmetic device 3.
- the 3D anatomical image of the subject's chest indicated by the second data is displayed.
- FIG. 2 is a block diagram more specifically showing the configuration of the cardiac magnetic field diagnostic device according to Embodiment 1 of the present invention shown in FIG.
- a magnetic field distribution measuring device 1 is installed in a magnetic shield room (MSR) 11 so as to perform non-contact magnetic measurement on the chest of a subject 12. It has a duty 13 with a built-in S QU ID magnetometer, and a calculation unit 14 for magnetic field distribution data.
- Fig. 3 is installed in the ultra low temperature system in the dewar 13 in the MSR 11 shown in Fig. 2.
- FIG. 4 is a block diagram showing the SQU ID magnetometer 15 and the calculation unit 14 installed in the normal temperature MSR 11 in more detail.
- the configuration shown in Fig. 3 is a configuration for one channel for measuring magnetic field data at one point on the chest of the subject. As will be described later, in the present invention, multipoint simultaneous measurement of a magnetic field at a plurality of coordinates is performed on the chest of a subject. Therefore, the configuration for one channel shown in FIG. 3 is provided in MSR 11 in FIG. 2 for a plurality of channels required for measurement.
- the SQU ID magnetometer 15 includes a pickup coil 16 made of a superconductor for detecting a magnetic field generated from the surface of the chest of a subject.
- a pickup coil 16 captures a magnetic field, a current flows, and this current is drawn into the coil 17 to generate a magnetic field in the Nb shield 20.
- the so-called zero-position method is used to provide feedback so that the magnetic field in the superconducting ring 18 is always constant (specifically, by adjusting the current flowing through the modulation coil 19).
- the magnetic field detected by the pickup coil 16 is calculated by the arithmetic unit 14. It is converted into an electric signal and output.
- a feedback method is a well-known technique called a flux locked loop (FLL).
- the configuration shown in Fig. 3 is necessary for measuring the magnetic field data for one channel, and the electrical signal indicating the magnetic field time-series data of the magnetic field measured at one point on the front of the subject's chest Is output.
- many sensors SQUID magnetometer
- the magnetic field on the front of the chest is measured at multiple points.
- the magnetic field changes with time. For example, even during a period corresponding to one heartbeat, if the measurement location is different, the magnetic field changes differently depending on the location.
- FIG. 4 is a diagram showing an example of the arrangement of a plurality of sensors (each of which is a single channel SQUID magnetometer) on the front of the chest of the subject.
- FIG. 5 shows a group of magnetic field time-series data showing a change in a magnetic field during one heartbeat period obtained from each sensor corresponding to each position of the plurality of sensors in FIG. I have.
- the data output from the magnetic field distribution measuring device 1 shown in FIG. 2 is a group of magnetic field time series data corresponding to a plurality of measurement positions (coordinates) as shown in FIG. 5, but attention is paid to a specific time Then, when these one group of magnetic field time series data is captured, a graph (figure) is used to represent the actual state of the peaks and valleys showing the distribution of the magnetic field strength at a certain time on the front of the chest to be measured. Because it is difficult to obtain, the magnetic field distribution data expressed by a contour map like the atmospheric pressure of the weather chart can be obtained. For this reason, the data output from the magnetic field distribution measuring device 1 can be regarded as magnetic field distribution time-series data on the front of the chest.
- Such a group of magnetic field time-series data that is, magnetic field distribution time-series data output from the magnetic field distribution measuring device 1 is given to the first arithmetic device 2 in FIG.
- the first arithmetic unit 2 functions to obtain the electrical activity in the chest at that moment, for example, the current density in the chest flowing at that moment, based on the magnetic field distribution data at a certain time.
- the magnetic field distribution measuring device From the magnetic field distribution time-series data generated by the magnetic field distribution measuring device 1, information on three-dimensional electrical activity at a site in the human body (the heart in the present invention) to be measured, for example, a current density distribution flowing through the site is obtained.
- the method determined by the first arithmetic unit 2 will be described.
- FIG. 6 is a diagram schematically illustrating a method for obtaining such a current density.
- a current sensor virtual sensor
- the current output of the virtual sensor can be obtained by multiplying the coefficients by the coefficients in the magnetic field time series data obtained from all the sensors (SQUID magnetometers) installed on the front of the human chest and taking the sum. Can be. How to find this coefficient is the central issue in this calculation.
- the method of obtaining the current density will be described in more detail with reference to FIG.
- N magnetic field sensors are arranged on the human body surface (front of the chest).
- the human body (chest, especially the heart) to be analyzed is regarded as a collection of poxels, each of which is a small block.
- the total number of poxels is M.
- the poxels through which the distributed currents of the orthogonal components flow are arranged at the same coordinates.
- the component orthogonal to the plane shown in 3 is often omitted because the magnetic field sensor is often placed on the upper chest plane in magnetocardiography.
- the magnetic field time-series data obtained from each sensor j is B j (t), and the spatial filter coefficient of the poxel i corresponding to each sensor output (B j (t) is / 3.
- the above-mentioned spatial filter coefficients can be set so as to have a sensitive sensitivity only to the distributed current of the corresponding Vota cell i by various methods such as SAM (Synthetic Aperture Magnetometry) and MU SIC (Multiple Signal Classification).
- SAM and MU SIC have been researched and developed in fields such as radar and sonar, and their methods are well known, but have been applied to the diagnosis of cardiac magnetic fields. There is no.
- the virtual sensor output calculated in real time for each pixel obtained by using the spatial filter coefficient by the SAM or MU SIC method has the advantage of having a very high real-time property.
- the first arithmetic unit 2 generates and displays time-series data showing the three-dimensional current density distribution of the heart ⁇ to be analyzed from the magnetic field distribution data generated by the magnetic field distribution measuring device 1 Applied to one input of device 4.
- the second arithmetic unit 3 shown in FIG. For example, multiple slice images of the same subject's chest (for example, a dozen or more images at 5 mm pitch) taken with an ECG-synchronized trigger using MR I, X-ray CT, echocardiography, myocardial SPECT, etc. ) Image data is input.
- the second arithmetic unit 3 processes (interpolates) the data of the plurality of slice images, performs three-dimensional perspective transformation from a predetermined viewpoint, and generates second data indicating an anatomical image.
- Techniques for forming a three-dimensional anatomical image from a plurality of slice images in this manner are well known. For example, Japanese Patent Application Laid-Open No. H11-12882, International Publication WO98 / 152 This is disclosed in detail in, for example, No. 26 gazette. Therefore, the details are not described here.
- the second arithmetic unit 3 generates second data indicating a three-dimensional anatomical image of the chest near the heart of the same subject, and supplies the second data to the other input of the display device 4.
- the display device 4 shown in FIG. 2 displays the three-dimensional anatomical image of the subject's chest formed based on the second data from the second arithmetic device 3 on the three-dimensional anatomical image from the first arithmetic device 2.
- the images showing the three-dimensional current density distribution in the myocardium formed based on the data of 1 are superimposed and displayed.
- FIGS.7A and 7B are diagrams showing real-time display modes of the three-dimensional current density distribution superimposed on the three-dimensional anatomical image displayed by the display device 4, respectively.
- the current density distribution changes over time with the transition of time.
- Each of Figures 7A and 7B is a three-dimensional image obtained by interpolating about five tomographic images obtained by slicing the subject's chest at a 5-mm pitch, for example, and illustrating the depth of the actual display image. It is difficult to express above.
- a diagram constituting each image is represented by a plurality of overlapping diagrams, a three-dimensional image having a sense of depth formed by synthesizing a plurality of slice images. It can be inferred that this is a typical horn-necropsy image.
- the upper side of the tomographic image is the front of the human body, and the lower side is the back.
- Each of the tomographic images in Figs. 7A and 7B is a tomographic image viewed from below (foot side).
- the set of circles indicated by A is a three-dimensional This displays the three-dimensional current density distribution superimposed on the image.
- the diameter of each circle indicates the magnitude of the current density.
- the magnitude of the current density can be displayed by shading a specific color on the screen.
- FIG. 8 shows a tomographic image extracted at a certain depth of a three-dimensional anatomical image having a depth as shown in FIGS. 7A and 7B, and is displayed in the same manner.
- the set represents the current density distribution on the tomographic image.
- the physician can compare the current density distribution of the myocardium ⁇ ⁇ ⁇ ⁇ on the anatomical image.
- the exact positional relationship can be grasped accurately.
- the displayed current density distribution indicates local gyration
- the position, size, and shape of the affected area in the myocardium where the electrical circulatory circuit that causes atrial flutter and atrial fibrillation occurs is determined. Diagnosis can be made accurately.
- FIG. 9 is a flowchart showing a method of identifying a current density distribution in the myocardium (particularly, an abnormal electric circuit) performed by the cardiac magnetic field diagnostic apparatus according to Embodiment 1 above.
- step S1 the magnetic field distribution measuring device 1 performs non-contact magnetic measurement at a plurality of coordinates on the human chest, generates a plurality of time-series data, and records the data if necessary.
- the above-described arithmetic operation by the SAM or MU SIC in the first arithmetic unit 2 can be executed on time-series data supplied in real time.
- step S2 an interpolation operation (three-dimensional perspective transformation from a predetermined viewpoint) is performed by the second arithmetic unit 3 on the plurality of MRI images photographed in advance with the ECG synchronization trigger, and the three-dimensional Obtain an anatomical image of.
- step S3 the initial time of the analysis is set to t s , the end time of the analysis is set to t e , and the time interval of the analysis is set to ⁇ t.
- step S4 the analysis is started by substituting the initial time t s for the analysis time t. Then, in step S5, the following processing is performed until the analysis time t reaches the end time t e .
- step S6 the first arithmetic unit 2 Magnetic field distribution data in the heart muscle is processed by the SAM method or the MU SIC method to obtain current density distribution data in the myocardium.
- step S7 the display device 4 superimposes and displays the current density distribution data in the myocardium on an anatomical image subjected to three-dimensional perspective transformation from a predetermined starting point.
- step S8 ⁇ t is added to the analysis time t.
- Embodiment 1 of the present invention a three-dimensional image showing the current density distribution in the myocardium obtained by noninvasive magnetic measurement on the chest of a subject using a SQUID magnetometer
- the abnormal excitatory propagation circuit in the myocardium that causes atrial flutter and atrial fibrillation that is, the solution of the electrical circuit, the anatomical positional relationship, size, shape Doctors can be identified in three dimensions. Therefore, without performing multiple simultaneous myocardial potential measurements during surgical thoracotomy, an abnormal excitatory propagation circuit that causes atrial flutter and atrial fibrillation can be safely, quickly and accurately performed.
- the operation time of the thoracotomy can be significantly reduced, and the burden on the patient can be reduced.
- the abnormal excitatory transmission circuit can be identified safely, quickly, and with high accuracy as described above without using the conventional diagnostic method that performed electrophysiological examination with a catheter while performing chest X-ray fluoroscopy.
- the current density distribution is measured as data indicating the electrical activity state in the myocardium, it is easy to match the current density distribution in the myocardium with medical knowledge on living myocardium. Diagnosis can be made while taking a diagnosis.
- the second embodiment of the present invention provides a cardiomagnetic field diagnostic apparatus and an electric rotating apparatus that can reduce the number of examinations and perform diagnosis and examination directly by eliminating the need for forming an anatomical image.
- a method for identifying a road is provided.
- FIG. 10 is a functional block diagram schematically showing a configuration of an atrial flutter and atrial fibrillation cardiac magnetic field diagnostic apparatus according to Embodiment 2 of the present invention.
- magnetic field distribution measuring apparatus 1 has already been described in relation to Embodiment 1, and will not be described again here.
- the magnetic field distribution time-series data generated by the magnetic field distribution measuring device 1 is given to the arithmetic device 5.
- the arithmetic unit 5 calculates a three-dimensional electrical activity state in the myocardium, for example, a three-dimensional state, based on the given magnetic field distribution time-series data, using the above-described calculation method such as the SAM method or the MU SIC method. Generate data indicating a current density distribution. Then, based on the generated three-dimensional current density distribution data, the arithmetic unit 5 calculates the data indicating the excitation (stimulation) propagation path in the heart during the period corresponding to the QRS group from the P wave of the electrocardiogram, and the current density distribution. The data shown is superimposed and given to the display device 6.
- the display unit 6 displays an image showing the current density distribution in the myocardium indicated by the data generated by the arithmetic unit 5 from the P wave of the electrocardiogram similarly calculated by the arithmetic unit 5 to the excitation propagation corresponding to the period of the QRS group.
- the path is superimposed and displayed on a three-dimensional image.
- FIG. 11 is a block diagram showing a more specific configuration of the cardiac magnetic field diagnostic device according to Embodiment 2 of the present invention shown in FIG. 10.
- the magnetic field distribution measuring device 1 is the same as the magnetic field distribution measuring device 1 described with reference to FIGS. 2 and 3, and a description thereof will be omitted.
- the magnetic field distribution time-series data output from the magnetic field distribution measuring device 1 is given to the arithmetic device 5 in FIG. 11, and the arithmetic device 5 uses the SAM method described in connection with FIG.
- the MU SIC method converts the magnetic field distribution time-series data into the current density distribution time-series data.
- an electrocardiograph 21 for recording the electrocardiogram of the subject 12 is provided, and the electrocardiogram waveform data of the subject 12 measured by this is supplied to the arithmetic unit 5.
- the waveform of the electrocardiogram is associated with the generated current density distribution, it is also possible to associate the electrocardiogram with an event occurring in the heart.
- FIG. 12A is a diagram schematically showing a normal stimulus propagation path in the heart
- FIG. 12B shows an electrocardiogram waveform for one heartbeat.
- the sinoatrial node or sinus node of the heart functions as a pacemaker that determines the heart rate, and fires at regular intervals (the timing of the P wave of the electrocardiogram) to generate a pulse.
- This pulse is transmitted to the atrioventricular node via a predetermined stimulus propagation path, and after a certain period of time, the pulse is transmitted from the His (bundle) bundle to the lower ventricle via the Purkinje fiber system, and the heart muscle contracts at a stretch. Occurs.
- the propagation of the stimulation of the Pukinje fiber system from this His bundle corresponds to the period of the QRS complex of the electrocardiogram (isovolume systole).
- the arithmetic unit 5 can determine the stimulus propagation path as a normal route as shown in Fig. 12 ⁇ .
- the image data shown is generated.
- Such an image of the stimulus propagation path shown in FIG. 12 # can be used as a template display instead of the anatomical image of the first embodiment. That is, even if there is no three-dimensional anatomical image as in the first embodiment, if the stimulus propagation path of the normal route shown in FIG. 12A is displayed, an abnormal excitation circuit generated around it, For example, an abnormal electrical circuit (dashed line in Fig. 12A) can be easily anatomically correlated by a physician, and its position, size, and shape can be identified. it can.
- the arithmetic unit 5 of FIG. 11 generates data indicating the generated current density distribution by superimposing on the display of the stimulus propagation circuit as such a template. As described above, by focusing on the local turning of the image representing the current density distribution, it is possible to find an abnormal excitation circuit, that is, an electric turning circuit, and such image data is used as the image data of the template described above. And is given to the display device 6.
- the display device 6 shown in FIG. 11 is based on the data from the arithmetic unit 5,
- An image showing the current density distribution is displayed superimposed on a normal stimulus propagation circuit as a unit.
- FIG. 13 shows an example of a screen actually displayed by the display device 6, in which an image of a current density distribution showing an abnormal electric circuit is displayed in a manner superimposed on a normal stimulus propagation circuit as a template. ing.
- the physician can easily make anatomical correspondence based only on the relative position of the electrical circuit to the normal stimulus propagation circuit as a template shown in Fig. 13. Position, size, and shape of the object can be identified.
- FIGS. 14 and 15 are flowcharts showing a method of identifying a current circulating circuit in the myocardium, which has been executed by the cardiac magnetic field diagnostic device according to Embodiment 2 described above.
- step S 11 non-contact magnetic measurement is performed at a plurality of coordinates on the human chest using the magnetic field distribution measurement device 1 to generate and record a plurality of magnetic field time series data. I do.
- step S12 the initial time of the analysis is determined as the P wave start time t sP of the electrocardiogram, the analysis end time is determined as the QRS group end time t eQRS of the electrocardiogram, and the analysis time interval is determined as ⁇ t. .
- step S 13 t sP , which is the start time of the P wave, is substituted for the angular analysis time t.
- step S14 the following steps S15 to S17 are repeated until the analysis time reaches the end time teQRS .
- step S15 the arithmetic device 5 processes the cardiac magnetic field distribution data at the designated analysis time t by the SAM method or the MU SIC method to generate intramyocardial current density distribution data.
- step S16 an image obtained by performing three-dimensional perspective transformation on the current density distribution data in the myocardium from a predetermined starting point is displayed.
- step S17 ⁇ t is calculated for the analysis time t, and the process returns to step S14 to determine whether or not the end time t eQRS has been reached. If it is determined that the end time t eQRS has been reached, it corresponds to the period from the P wave to the QRS group in the ECG waveform. In addition, image data indicating the stimulus propagation path, which is the normal route shown in FIG. 12A, is obtained.
- step S 1 8 in FIG. 1 5 the initial time of analysis defined as t s, defines the end time of the analysis and t e, defined as delta t the analysis time interval.
- step S19 the initial time t s is substituted for the analysis time t.
- step S 2 until the analysis time t reaches the end time t e is determined, the step S 2 1 to S 2 3 below is performed.
- step S21 the arithmetic unit 5 processes the cardiac magnetic field distribution data at the designated analysis time t by the SAM method or the MU SIC method to generate intramyocardial current density distribution data.
- step S22 the myocardial current density data is superimposed and displayed on the image of the normal stimulus propagation circuit that has been subjected to three-dimensional perspective transformation from a predetermined starting point.
- step S23 ⁇ t is added to the analysis time t, and the process returns to step S20 to determine whether the end time t e has been reached.
- the data indicating the current density distribution in the myocardium is superimposed and displayed on the image of the normal stimulus propagation path (FIG. 12A) obtained in the flow chart of FIG.
- an image showing the current density distribution in the myocardium obtained by non-invasive magnetic measurement on the chest of a subject using a SQUID magnetometer is used as a template.
- abnormal excitation propagation circuits in the myocardium that cause atrial flutter and atrial fibrillation that is, electrical
- the doctor can three-dimensionally identify the relative position, size, and shape of the helical circuit with respect to the stimulus propagation circuit. Therefore, in the second embodiment, a preliminary inspection for obtaining an anatomical image can be omitted.
- the conventional method of performing examination and treatment using a catheter while performing chest X-ray fluoroscopy also enables safe, rapid, and highly accurate identification of an abnormal excitation propagation circuit in the myocardium, as described above.
- X-ray exposure time for doctors and radiologists can be significantly reduced, and the burden on doctors and radiologists can be reduced.
- this embodiment 2 By using the method of identifying the electrical circulatory circuit with the catheter ablation method using high frequency, it is possible to execute a treatment directly linked to the diagnosis of atrial flutter and atrial fibrillation, further reducing the burden on the patient Can be.
- the current density distribution is measured as data indicating the electrical activity state in the myocardium, it is easy to match the current density distribution in the myocardium with medical knowledge on living myocardium. The diagnosis can be made while taking the
- the electrical activity state in the myocardium obtained by noninvasive magnetic measurement on the chest of a patient can be visually displayed on a three-dimensional anatomical image. Because it is possible, the position, shape, and number of abnormal electrical circuits in the myocardium can be identified three-dimensionally.
- the generated data indicating the electrical activity state is the current density distribution data
- the correspondence between the generated current density distribution of the abnormal excitation propagation circuit in the myocardium and the current density distribution in the myocardium is not sufficient. It is easy and does not have the inconvenience that the result changes depending on the number setting and the initial value as in the conventional analysis method that imitated the magnetic field source with one or more current dipoles.
- an anomalous electrical circuit is superimposed on a normal stimulus propagation circuit from the sinus node of the same subject to the His bundle-purkin fiber system and displayed in a three-dimensional manner. It is possible to three-dimensionally identify the position, size, shape, and number of abnormal electrical circuits in the myocardium without obtaining a target image. In other words, the examination for obtaining an anatomical image can be omitted, and the effect of increasing the economic efficiency can be obtained.
- abnormal electrical The position, shape, and number of mechanical circuits can be identified three-dimensionally, making it suitable for electrophysiological examinations using a catheter while performing fluoroscopy of the chest, or for treatment using high-frequency or high-power catheter ablation. Useful.
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Description
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Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US10/333,023 US7123952B2 (en) | 2000-07-18 | 2001-07-17 | Cardiac magnetic field diagnozer for atrial flutter and atrial fibrillation and method for identifying electric turning path of atrial flutter and atrial fibrillation |
EP01948054A EP1302159A4 (en) | 2000-07-18 | 2001-07-17 | CARDIAC MAGNETIC FIELD DIAGNOSIS INSTRUMENT FOR AURICULAR FIBRILLATION AND FLUTTER; ELECTRIC RETURN PATH IDENTIFICATION METHOD FOR AURICULAR FLUTTER AND FIBRILLATION |
AU2001269538A AU2001269538A1 (en) | 2000-07-18 | 2001-07-17 | Cardiac magnetic field diagnozer for atrial flutter and atrial fibrillation and method for identifying electric turning path of atrial flutter and atrial fibrillation |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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JP2000217833A JP3712348B2 (ja) | 2000-07-18 | 2000-07-18 | 心房粗動および心房細動の心臓磁界診断装置およびその作動方法 |
JP2000-217833 | 2000-07-18 |
Publications (1)
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WO2002005713A1 true WO2002005713A1 (fr) | 2002-01-24 |
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PCT/JP2001/006192 WO2002005713A1 (fr) | 2000-07-18 | 2001-07-17 | Instrument de diagnostic de champ magnetique cardiaque pour fibrillation et flutter auriculaires ; methode d'identification de chemin de retour electrique pour flutter et fibrillation auriculaires |
Country Status (5)
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US (1) | US7123952B2 (ja) |
EP (1) | EP1302159A4 (ja) |
JP (1) | JP3712348B2 (ja) |
AU (1) | AU2001269538A1 (ja) |
WO (1) | WO2002005713A1 (ja) |
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JP3712349B2 (ja) * | 2000-07-18 | 2005-11-02 | 独立行政法人科学技術振興機構 | 生存心筋診断装置およびその作動方法 |
JP3944383B2 (ja) * | 2001-11-16 | 2007-07-11 | 株式会社日立製作所 | 心臓磁場計測装置 |
JP4426773B2 (ja) * | 2003-04-18 | 2010-03-03 | 株式会社日立ハイテクノロジーズ | 生体磁場計測装置及び当該装置により実行される生体磁場計測方法 |
US20050171396A1 (en) * | 2003-10-20 | 2005-08-04 | Cyberheart, Inc. | Method for non-invasive lung treatment |
JP3890344B2 (ja) * | 2004-09-29 | 2007-03-07 | 株式会社日立ハイテクノロジーズ | 生体磁場計測装置 |
US8594772B2 (en) | 2008-06-03 | 2013-11-26 | International Business Machines Corporation | Method for monitoring and communicating biomedical electromagnetic fields |
US20110133729A1 (en) * | 2008-08-15 | 2011-06-09 | Koninklijke Philips Electronics N.V. | Method and monitoring device for performing an rf-safe mit scan |
US8970217B1 (en) | 2010-04-14 | 2015-03-03 | Hypres, Inc. | System and method for noise reduction in magnetic resonance imaging |
US9223418B2 (en) | 2010-12-15 | 2015-12-29 | Microsoft Technology Licensing, Llc | Pen digitizer |
US9378444B2 (en) | 2010-12-23 | 2016-06-28 | Microsoft Technology Licensing, Llc | Encoded micro pattern |
JP2015119818A (ja) * | 2013-12-24 | 2015-07-02 | 学校法人金沢工業大学 | 生体磁場解析装置、生体磁場解析システム、生体磁場解析方法および生体磁場解析プログラム |
KR101764697B1 (ko) | 2015-08-17 | 2017-08-16 | 연세대학교 산학협력단 | 심장 세동 질환 예측 방법 및 그 장치 |
US11493566B2 (en) | 2016-09-07 | 2022-11-08 | Texas Tech University System | Electric current imaging system |
US10034645B1 (en) * | 2017-04-13 | 2018-07-31 | The Board Of Trustees Of The Leland Stanford Junior University | Systems and methods for detecting complex networks in MRI image data |
CN115334962A (zh) * | 2020-03-13 | 2022-11-11 | 朝日英达科株式会社 | 医疗装置以及图像生成方法 |
JP7584350B2 (ja) | 2021-04-27 | 2024-11-15 | 株式会社アドバンテスト | 信号ベクトル導出装置、方法、プログラム、記録媒体 |
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- 2001-07-17 AU AU2001269538A patent/AU2001269538A1/en not_active Abandoned
- 2001-07-17 EP EP01948054A patent/EP1302159A4/en not_active Withdrawn
- 2001-07-17 WO PCT/JP2001/006192 patent/WO2002005713A1/ja not_active Application Discontinuation
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Also Published As
Publication number | Publication date |
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EP1302159A4 (en) | 2007-06-06 |
JP3712348B2 (ja) | 2005-11-02 |
JP2002028143A (ja) | 2002-01-29 |
EP1302159A1 (en) | 2003-04-16 |
US7123952B2 (en) | 2006-10-17 |
AU2001269538A1 (en) | 2002-01-30 |
US20040077964A1 (en) | 2004-04-22 |
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