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AI reconstructs 3D heart scar geometry from MRI

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method to reconstruct 3D models of myocardial infarction (MI) from cine MRI scans, bypassing the need for contrast agents. This approach utilizes a novel explicit geometry-motion embedded model that extracts and fuses geometry and motion features from multi-view cine MRIs. The system achieved an average Dice score of 0.678 on 225 scans and demonstrated high consistency with contrast-enhanced MRI-derived data in downstream electrophysiological simulations, showing promise for contrast-free cardiac digital twin modeling. AI

IMPACT Enables more accessible and frequent cardiac scar characterization for personalized digital twin simulations.

RANK_REASON The cluster contains an academic paper detailing a new AI model and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI reconstructs 3D heart scar geometry from MRI

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The cluster contains an academic paper detailing a new AI model and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yilin Lyu, Mark YY Chan, Ching-Hui Sia, Lei Li ·

    Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI for Cardiac Digital Twins

    arXiv:2606.01808v1 Announce Type: new Abstract: Accurate 3D geometric characterization of myocardial infarction (MI) is essential for building cardiac digital twins (CDTs) to precisely simulate infarct-related electrophysiology. Late gadolinium enhancement magnetic resonance imag…

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