Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors

. In the current MR-Linac online adaptive workflow, air regions on the MR images need to be manually delineated for abdominal targets, and then overridden by air density for dose calculation. Auto-delineation of these regions is desirable for speed purposes, but poses a challenge, since unlike compu...

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Veröffentlicht in:	Physics in medicine & biology 2023-06, Vol.68 (12), p.125011
Hauptverfasser:	Ahunbay, Ergun, Parchur, Abdul K, Xu, Jiaofeng, Thill, Dan, Paulson, Eric S, Li, X Allen
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdominal Neoplasms - diagnostic imaging Abdominal Neoplasms - radiotherapy adaptive radiation therapy air volume delineation Deep Learning Humans Image Processing, Computer-Assisted - methods Magnetic Resonance Imaging - methods MR imaging Radiotherapy Planning, Computer-Assisted - methods synthetic CT Tomography, X-Ray Computed - methods
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