Cmri Insight: A Gui-Based Open-Source Tool for Cardiac Mri Segmentation and Motion Tracking Application

Cmri Insight: A Gui-Based Open-Source Tool for Cardiac Mri Segmentation and Motion Tracking Application Publisher

Aghapanah H ; Saeeidi Rad A ; Rasti R ; Rabbani H ; Pouraliakbar H ; Tabesh F ; Sanei H ; Kermani S ; Arabi H

Source: SoftwareX Published:2026

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. © 2026 The Authors.

2. Mecardnet: A Novel Multi-Scale Convolutional Ensemble Model With Adaptive Deep Supervision for Precise Cardiac Mri Segmentation, Biomedical Signal Processing and Control (2025)

3. Cardsegnet: An Adaptive Hybrid Cnn-Vision Transformer Model for Heart Region Segmentation in Cardiac Mri, Computerized Medical Imaging and Graphics (2024)

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Saeed Kermani (3)

Hamid Sanei (2)

Style	Citing Format
MLA	Aghapanah H, et al.. "Cmri Insight: A Gui-Based Open-Source Tool for Cardiac Mri Segmentation and Motion Tracking Application." SoftwareX, vol. 34, no. , 2026, pp. -.
APA	Aghapanah H, Saeeidi Rad A, Rasti R, Rabbani H, Pouraliakbar H, Tabesh F, Sanei H, Kermani S, Arabi H (2026). Cmri Insight: A Gui-Based Open-Source Tool for Cardiac Mri Segmentation and Motion Tracking Application. SoftwareX, 34(), -.
Chicago	Aghapanah H, Saeeidi Rad A, Rasti R, Rabbani H, Pouraliakbar H, Tabesh F, Sanei H, Kermani S, Arabi H. "Cmri Insight: A Gui-Based Open-Source Tool for Cardiac Mri Segmentation and Motion Tracking Application." SoftwareX 34, no. (2026): -.
Harvard	Aghapanah H et al. (2026) 'Cmri Insight: A Gui-Based Open-Source Tool for Cardiac Mri Segmentation and Motion Tracking Application', SoftwareX, 34(), pp. -.
Vancouver	Aghapanah H, Saeeidi Rad A, Rasti R, Rabbani H, Pouraliakbar H, Tabesh F, et al.. Cmri Insight: A Gui-Based Open-Source Tool for Cardiac Mri Segmentation and Motion Tracking Application. SoftwareX. 2026;34():-.
BibTex	@article{ author = {Aghapanah H and Saeeidi Rad A and Rasti R and Rabbani H and Pouraliakbar H and Tabesh F and Sanei H and Kermani S and Arabi H}, title = {Cmri Insight: A Gui-Based Open-Source Tool for Cardiac Mri Segmentation and Motion Tracking Application}, journal = {SoftwareX}, volume = {34}, number = {}, pages = {-}, year = {2026} }
RIS	TY - JOUR AU - Aghapanah H AU - Saeeidi Rad A AU - Rasti R AU - Rabbani H AU - Pouraliakbar H AU - Tabesh F AU - Sanei H AU - Kermani S AU - Arabi H TI - Cmri Insight: A Gui-Based Open-Source Tool for Cardiac Mri Segmentation and Motion Tracking Application JO - SoftwareX VL - 34 IS - SP - EP - PY - 2026 ER -

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