Shaping Quality in Cardiovascular Magnetic Resonance: A Comparative Study of Segmentation Approaches by Trainees and
Jan Gröschel1,2,3,4, Thomas Hadler1,2,3, Leonhard Grassow1,2,3
1Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Berlin, Germany.
CJC Open
|September 2, 2025
Summary
Cardiovascular magnetic resonance (CMR) training significantly impacts segmentation accuracy. Even with brief instruction, beginners and intermediates achieved expert-level chamber quantification, though differences in myocardial segmentation highlight the need for ongoing training and quality assurance.
Area of Science:
- Cardiology
- Medical Imaging
- Radiology
Background:
- Cardiovascular magnetic resonance (CMR) is a key cardiovascular imaging (CVI) tool.
- Training limitations hinder the widespread adoption and effective use of CMR.
- This study investigates how CVI experience influences CMR segmentation quality.
Purpose of the Study:
- To analyze the impact of cardiovascular imaging (CVI) experience on CMR segmentation.
- To establish quality standards for CMR training and supervision.
- To evaluate segmentation performance across different experience levels.
Main Methods:
- Four CMR experts established gold-standard ventricular contours.
- 46 readers (beginners, intermediates, experts) performed segmentations after a brief teaching session.
- Dice Similarity Coefficient (DSC) was used to compare segmentation accuracy and analyze deviations.
Main Results:
- Significant differences in segmentation accuracy were observed, particularly for left ventricular (LV) endocardial and myocardial contours, and right ventricular (RV) contours.
- Experts generally achieved higher DSC scores across most metrics.
- Disagreements were primarily linked to the handling of basal slices and did not significantly affect overall volume and function measurements.
Conclusions:
- A brief, standardized teaching session enabled beginners and intermediates to achieve chamber quantification comparable to experts.
- Persistent differences in segmentation, especially for LV mass and RV, necessitate continuous training.
- Implementing automated quality assurance methods is recommended to further enhance CMR segmentation consistency.
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