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

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.

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Publication Details

Journal
Scientific Reports
Published
2025-08-12
DOI
https://doi.org/10.1038/s41598-025-15107-4
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Jihun Kim, Yeona Cho, Jina Kim, Jun Won Kim et al.
1 links
Scientific Reports
Advanced Radiotherapy Techniques
article

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

Jihun Kim, Yeona Cho, Jina Kim, Jun Won Kim, Jiwon Sung
article en

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.

Scientific ReportsVol. 15(1)
Yonsei University (KR), Gangnam Severance Hospital (KR)
National Research Foundation, Yonsei University, National Research Foundation of Korea, Yonsei University College of Medicine
Openalex Percentile: Top 73%
Advanced Radiotherapy Techniques
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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 — Jihun Kim, Yeona Cho, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS