CMRI Insight: A GUI-based open-source tool for cardiac MRI segmentation and motion tracking application

Cardiac MRI (CMRI) is crucial for assessing cardiovascular structure and function, yet manual analysis is time-consuming and subjective. This paper introduces CMRI Insight, an open-source, Python-based GUI tool designed for automated cardiac segmentation and motion tracking like CardioTrackNet in CMRI. Leveraging deep learning models like CardSegNet and MECardNet, it enables accurate delineation of the left ventricle, right ventricle, and myocardium with mean Dice scores of 95.8% for the left ventricle, 94.2% for the right ventricle, and 95.0% for the myocardium. The tool offers 3D mesh reconstruction, strain analysis, bull’s-eye visualization, and support for custom models. CMRI Insight enhances efficiency and reproducibility in cardiac imaging research and clinical evaluation, providing a user-friendly platform for comprehensive CMRI analysis.

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Publication Details

Journal
SoftwareX
Published
2026-02-27
DOI
https://doi.org/10.1016/j.softx.2026.102581
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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CMRI Insight: A GUI-based open-source tool for cardiac MRI segmentation and motion tracking application

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SoftwareX
Medical Image Segmentation Techniques
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CMRI Insight: A GUI-based open-source tool for cardiac MRI segmentation and motion tracking application

Saeed Kermani, Faezeh Tabesh, Hamed Aghapanah, Reza Rasti, Ali Saeeidi Rad, Hamidreza Pouraliakbar, Hamid Sanei, Hossein Rabbani, Hossein Arabi
article en

Abstract

Cardiac MRI (CMRI) is crucial for assessing cardiovascular structure and function, yet manual analysis is time-consuming and subjective. This paper introduces CMRI Insight, an open-source, Python-based GUI tool designed for automated cardiac segmentation and motion tracking like CardioTrackNet in CMRI. Leveraging deep learning models like CardSegNet and MECardNet, it enables accurate delineation of the left ventricle, right ventricle, and myocardium with mean Dice scores of 95.8% for the left ventricle, 94.2% for the right ventricle, and 95.0% for the myocardium. The tool offers 3D mesh reconstruction, strain analysis, bull’s-eye visualization, and support for custom models. CMRI Insight enhances efficiency and reproducibility in cardiac imaging research and clinical evaluation, providing a user-friendly platform for comprehensive CMRI analysis.

SoftwareXVol. 34
Isfahan University of Medical Sciences (IR), Iran University of Medical Sciences (IR), Duke University (US), University of Isfahan (IR), University Hospital of Geneva (CH), Shaheed Rajaei Cardiovascular Medical and Research Center (IR)
Openalex Percentile: Top 43%
Medical Image Segmentation Techniques
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