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Proceedings Paper

Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography
Author(s): Yang Lei; Sibo Tian; Yabo Fu; Xue Dong; Tonghe Wang; Ashesh Jani; David M. Schuster; Walter J. Curran; Pretesh Patel; Tian Liu; Xiaofeng Yang
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Paper Abstract

CBCT-guided adaptive prostate radiotherapy requires the accurate and rapid segmentation of the prostate and organs-at-risk from on-board CBCT images. Automatic segmentation based solely on CBCT can eliminate the need for registration to the planning CT, but has not been widely studied. Soft tissue contrast, such as prostate, is poor on CBCT images, which is often further degraded by CBCT artifacts. In this study, a new segmentation strategy is proposed for pelvic multi-organ segmentation aided by CBCT-based synthetic MRI. We tested our proposed method using 20 prostate cancer patients’ who underwent radiotherapy. The mean Dice similarity coefficient (DSC) of bladder, prostate and rectum were 95%, 86%, and 91%, which demonstrated the detection and segmentation accuracy of the proposed method. Methods for the accurate and fast segmentation of the prostate, bladder and rectum warrants further development in support a CBCT-guided adaptive radiotherapy workflow for prostate cancer.

Paper Details

Date Published: 10 March 2020
PDF: 7 pages
Proc. SPIE 11313, Medical Imaging 2020: Image Processing, 1131338 (10 March 2020); doi: 10.1117/12.2549440
Show Author Affiliations
Yang Lei, Emory Univ. (United States)
Sibo Tian, Emory Univ. (United States)
Yabo Fu, Emory Univ. (United States)
Xue Dong, Emory Univ. (United States)
Tonghe Wang, Emory Univ. (United States)
Ashesh Jani, Emory Univ. (United States)
David M. Schuster, Emory Univ. (United States)
Walter J. Curran, Emory Univ. (United States)
Pretesh Patel, Emory Univ. (United States)
Tian Liu, Emory Univ. (United States)
Xiaofeng Yang, Emory Univ. (United States)


Published in SPIE Proceedings Vol. 11313:
Medical Imaging 2020: Image Processing
Ivana Išgum; Bennett A. Landman, Editor(s)

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