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Development of in-house software to process real-time cine magnetic resonance images acquired during 1.5 T MR-guided radiation therapy

Authors
 Jiwon Sung  ;  Yeonho Choi  ;  Jina Kim  ;  Jun Won Kim  ;  Jihun Kim 
Citation
 SCIENTIFIC REPORTS, Vol.15(1) : 29515, 2025-08 
Journal Title
SCIENTIFIC REPORTS
Issue Date
2025-08
MeSH
Algorithms ; Humans ; Image Processing, Computer-Assisted* / methods ; Magnetic Resonance Imaging, Cine* / methods ; Phantoms, Imaging ; Radiotherapy, Image-Guided* / methods ; Software*
Keywords
2D cine MR image ; MATLAB ; MR guided radiotherapy ; MR-linac
Abstract
This study aimed to develop and publicly release an in-house software package that converts the binary file format of 2D cine magnetic resonance (MR) images acquired through the Treatment Session Manager (TSM) of MOSAIQ on the Elekta Unity (Elekta AB, Stockholm, Sweden) into standard readable data formats. The software was developed using MATLAB (MathWorks, Natick, MA, USA) and includes an automatic image-sorting algorithm to classify the images into coronal, sagittal, and axial planes. To verify the geometric accuracy of the converted images, they were acquired from an MRgRT motion management QA phantom, both with and without motion. For the converted images without motion, the geometric size of the phantom was measured and compared with the known values. For the images acquired with motion, the magnitudes measured using the converted cine MR images were compared with the artificially introduced motions. The results showed that the 2D cine MR images in the binary file format were successfully converted into the metadata/DICOM format and accurately classified into different planes. The accuracies of the geometric size and motion in the converted 2D cine MR images were greater than 99.6% and 94.2%, respectively. This software is expected to be useful for 1.5 T MR-linac users in analyzing internal organ motion during radiation treatment.
Files in This Item:
T202506289.pdf Download
DOI
10.1038/s41598-025-15107-4
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Kim, Jun Won(김준원) ORCID logo https://orcid.org/0000-0003-1358-364X
Kim, Jihun(김지훈) ORCID logo https://orcid.org/0000-0003-4856-6305
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/207734
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