ArticleNPJ digital medicine2025
ScarElastic: continuous elasticity field modeling for myocardial scar delineation in LGE-CMR.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Contrast-Free Myocardial Infarction Segmentation with Attention U-Net.Diagnostics (Basel, Switzerland) · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Late gadolinium-enhanced cardiac magnetic resonance (LGE-CMR) imaging is a crucial modality for identifying myocardial scar, yet current binary segmentation approaches often fail to capture the continuous and heterogeneous nature of fibrosis. In this study, we propose ScarElastic, a novel framework that models scar as a continuous elasticity field, enabling the preservation of myocardial wall topology and more faithful delineation of diffuse or patchy lesions. Across three public benchmarks (STACOM-LGE 2018, MyoPS 2020, and MS-CMRSeg 2019), ScarElastic consistently outperformed state-of-the-art methods, achieving up to +3.1% Dice improvement, -1.8 mm reduction in HD95, and a +0.06 gain in structural continuity score. These gains were particularly pronounced in hypertrophic cardiomyopathy (HCM) cases with complex scar morphology. Beyond quantitative accuracy, the elasticity field provides interpretable maps that correlate with clinical indices such as scar burden and transmural extent, suggesting strong potential for integration into clinical workflows.
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Registered trials
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