A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study.

ABSTRACT:

Introduction

For radiotherapy based solely on magnetic resonance imaging (MRI), generating synthetic computed tomography scans (sCT) from MRI is essential for dose calculation. The use of deep learning (DL) methods to generate sCT from MRI has shown encouraging results if the MRI images used for training the deep learning network and the MRI images for sCT generation come from the same MRI device. The objective of this study was to create and evaluate a generic DL model capable of generating sCTs from various MRI devices for prostate radiotherapy.

Materials and methods

In total, 90 patients from three centers (30 CT-MR prostate pairs/center) underwent treatment using volumetric modulated arc therapy for prostate cancer (PCa) (60 Gy in 20 fractions). T2 MRI images were acquir

SUBMITTER: Tahri S 

PROVIDER: S-EPMC10713720 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature