Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network

• Published in: Radiotherapy and oncology Vol. 141; pp. 192 - 199
• Main Authors: Dong, Xue, Lei, Yang, Tian, Sibo, Wang, Tonghe, Patel, Pretesh, Curran, Walter J., Jani, Ashesh B., Liu, Tian, Yang, Xiaofeng
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.12.2019
• Subjects: Deep Learning; Hematology, Oncology, and Palliative Medicine; Humans; Magnetic Resonance Imaging - methods; Male; Multi-organ segmentation; Organs at Risk; Pelvis - diagnostic imaging; Prostatic Neoplasms - diagnostic imaging; Prostatic Neoplasms - radiotherapy; Synthetic MRI; Tomography, X-Ray Computed - methods; Deep learning; Synthetic MRI; Multi-organ segmentation

•We use CT-based synthetic MRI (SMRI) to aid multi-organ segmentation in male pelvic CT.•SMRI with a superior soft-tissue contrast can significantly improve CT segmentation accuracy.•The deep attention mechanism helps identify the most relevant features to differentiate organs.•The proposed SMRI-aid...