Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
Abstract
Recently, deep learning (DL)-based methods for the generation of synthetic computed tomography (sCT) have received significant research attention as an alternative to classical ones. We present here a systematic review of these methods by grouping them into three categories, according to their clinical applications: I) To replace CT in magnetic resonance (MR)-based treatment planning. II) Facilitate cone-beam computed tomography (CBCT)-based...
Paper Details
Title
Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
Published Date
Feb 4, 2021
Journal
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