Abstract
Purpose
Whole-body bone scintigraphy (WBS) is one of the common imaging methods in nuclear medicine. It is a time-consuming, tedious, and error-prone issue for physicians to determine the location of bone lesions which is important for the qualitative diagnosis of bone lesions. In this paper, an automatic fine-grained skeleton segmentation method for WBS is developed.
Method
The proposed method contains four steps. In the first step, a novel denoising method is proposed to remove the noise from WBS which benefits the location of the skeleton. In the second step, a restoration method based on gray probability distribution is developed to repair the partial contamination caused by the high local density of radionuclide. Then, the standardization for WBS is performed by the exact histogram matching. Finally, the deformation field between the atlas and the input WBS is calculated by registration, and the segmentation mask of the input WBS is obtained by wrapping the segmentation mask of the atlas with the deformation field.
Results
The experimental results show that the proposed method outperforms the traditional registration (Morphon): mean square error decreased from \(11.14 \times 10^{-3}\) to \(2.10 \times 10^{-3}\), peak signal-to-noise ratio increased from 21.26 to 26.92, and mean structural similarity increased from 0.9986 to 0.9998.
Conclusions
Our experiments show that the proposed method can achieve robust and fine-grained results which outperform the traditional registration method, indicating it could be helpful in clinical application. To the best of our knowledge, this is the first work that implements a fully automated fine-grained skeleton segmentation method for WBS.
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Acknowledgements
This work was supported by the National Major Science and Technology Projects of China under Grant 2018AAA0100201, Sichuan Science and Technology Program under Grant 2020JDRC0042, and 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (ZYGD18016).
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Wei, J., Cai, H., Pi, Y. et al. An automatic fine-grained skeleton segmentation method for whole-body bone scintigraphy using atlas-based registration. Int J CARS 17, 673–681 (2022). https://doi.org/10.1007/s11548-022-02579-2
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DOI: https://doi.org/10.1007/s11548-022-02579-2