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

•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...

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Veröffentlicht in:	Radiotherapy and oncology Jg. 141; S. 192 - 199
Hauptverfasser:	Dong, Xue, Lei, Yang, Tian, Sibo, Wang, Tonghe, Patel, Pretesh, Curran, Walter J., Jani, Ashesh B., Liu, Tian, Yang, Xiaofeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ireland Elsevier B.V 01.12.2019
Schlagworte:	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
ISSN:	0167-8140, 1879-0887, 1879-0887
Online-Zugang:	Volltext
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