Article

CT-to-MRI Synthesis with Dual CycleGAN: Advancing Radiotherapy Planning in Brain Glioblastoma Multiform

2026-08-04

Abstract excerpt

<title>Abstract</title> <p> <bold>Rationale and Objective</bold> : This study aimed to develop and evaluate a dual-cycle-consistent generative adversarial network (CycleGAN) for synthesizing T1-weighted MR images from brain CT scans, with glioblastoma multiforme (GBM) as the clinical use case. <bold>Materials and Methods</bold> : A prospective dataset of 40 patients was collected, comprising paired and unpair...

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Literature Corpus work: d3c2ad82-ec4f-5d07-b376-9ab0b06ca39f
DOI: 10.21203/rs.3.rs-10425342/v1

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