Artificial Intelligence-Assisted Compressed Sensing Technique Accelerates Magnetic Resonance Imaging Simulation for Head and Neck Cancer Radiation Therapy

Artificial Intelligence-Assisted Compressed Sensing Technique Accelerates Magnetic Resonance Imaging Simulation for Head and Neck Cancer Radiation Therapy

Purpose: To explore the potential of artificial intelligence-assisted compressed sensing (ACS) technique, when compared with that of conventional parallel imaging (PI) technique, in magnetic resonance imaging (MRI) simulation for head and neck cancer radiation therapy. Methods and Materials: Fifty-t...

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Main Authors: Shu-han Zhou, MB, Mao-shen Lin, MB, Yu Luo, MB, Hao-qiang He, MB, Shao-jin Wang, MB, Lin-tao Shang, MB, Tian-you Dong, MB, Wen-jun Fan, MD, Feng Chi, MM
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Advances in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S245210942500106X
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