Low-dose cone-beam CT (LD-CBCT) reconstruction for image-guided radiation therapy (IGRT) by three-dimensional dual-dictionary learning

Background To develop a low-dose cone beam CT (LD-CBCT) reconstruction method named simultaneous algebraic reconstruction technique and dual-dictionary learning (SART-DDL) joint algorithm for image guided radiation therapy (IGRT) and evaluate its imaging quality and clinical application ability. Met...

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Veröffentlicht in:	Radiation oncology (London, England) Jg. 15; H. 1; S. 1 - 9
Hauptverfasser:	Song, Ying, Zhang, Weikang, Zhang, Hong, Wang, Qiang, Xiao, Qing, Li, Zhibing, Wei, Xing, Lai, Jialu, Wang, Xuetao, Li, Wan, Zhong, Quan, Gong, Pan, Zhong, Renming, Zhao, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 12.08.2020 Springer Nature B.V BMC
Schlagworte:	Acceptable noise levels Accuracy Algorithms Biomedical and Life Sciences Biomedicine Cancer Research CBCT reconstruction Clinical Radiation Oncology Computed tomography Dictionaries Dictionary learning Evaluation Geometry Head & neck cancer Head and neck Image processing Image quality Image reconstruction Imaging Low dose Machine learning Mathematical analysis Medical imaging Neck Noise levels Object recognition Oncology Patients Quality Radiation Radiation therapy Radiology Radiotherapy Rank tests Registration Signal to noise ratio United States > US Radiation therapy CBCT reconstruction Low dose Dictionary learning
ISSN:	1748-717X, 1748-717X
Online-Zugang:	Volltext
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