Chai et al., 2012 - Google Patents
Automatic bladder segmentation on CBCT for multiple plan ART of bladder cancer using a patient-specific bladder modelChai et al., 2012
- Document ID
- 5784993102497564648
- Author
- Chai X
- van Herk M
- Betgen A
- Hulshof M
- Bel A
- Publication year
- Publication venue
- Physics in Medicine & Biology
External Links
Snippet
In multiple plan adaptive radiotherapy (ART) strategies of bladder cancer, a library of plans corresponding to different bladder volumes is created based on images acquired in early treatment sessions. Subsequently, the plan for the smallest PTV safely covering the bladder …
- 210000003932 Urinary Bladder 0 title abstract description 239
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20101—Interactive definition of point of interest, landmark or seed
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0068—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Liu et al. | Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning | |
Chai et al. | Automatic bladder segmentation on CBCT for multiple plan ART of bladder cancer using a patient-specific bladder model | |
Kurz et al. | CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation | |
Kazemifar et al. | Segmentation of the prostate and organs at risk in male pelvic CT images using deep learning | |
Fu et al. | Automatic and hierarchical segmentation of the human skeleton in CT images | |
Castillo et al. | A reference dataset for deformable image registration spatial accuracy evaluation using the COPDgene study archive | |
Lei et al. | Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study | |
Kaus et al. | Assessment of a model-based deformable image registration approach for radiation therapy planning | |
Chen et al. | Synthetic CT generation from CBCT images via unsupervised deep learning | |
Kim et al. | A novel approach for establishing benchmark CBCT/CT deformable image registrations in prostate cancer radiotherapy | |
Shao et al. | Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling | |
Kieselmann et al. | Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region | |
Martínez et al. | Segmentation of pelvic structures for planning CT using a geometrical shape model tuned by a multi-scale edge detector | |
Chen et al. | A recursive ensemble organ segmentation (REOS) framework: application in brain radiotherapy | |
Zachiu et al. | Non-rigid CT/CBCT to CBCT registration for online external beam radiotherapy guidance | |
Zhong et al. | An adaptive MR-CT registration method for MRI-guided prostate cancer radiotherapy | |
Zhen et al. | Deformable image registration of CT and truncated cone-beam CT for adaptive radiation therapy | |
Siciarz et al. | U-net architecture with embedded Inception-ResNet-v2 image encoding modules for automatic segmentation of organs-at-risk in head and neck cancer radiation therapy based on computed tomography scans | |
Rigaud et al. | Deformable image registration for dose mapping between external beam radiotherapy and brachytherapy images of cervical cancer | |
Yip et al. | Development and evaluation of an articulated registration algorithm for human skeleton registration | |
Zhen et al. | A segmentation and point-matching enhanced efficient deformable image registration method for dose accumulation between HDR CT images | |
Claessens et al. | Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm | |
Liu et al. | Female pelvic synthetic CT generation based on joint intensity and shape analysis | |
Liu et al. | A female pelvic bone shape model for air/bone separation in support of synthetic CT generation for radiation therapy | |
Cui et al. | Topology polymorphism graph for lung tumor segmentation in PET-CT images |