Toward Reliable Patient-Specific Aortic Strain Mapping from 4D CTA: Validation, Spectral Structure, and Clinical Potential
q-bio.QM
Submitted: 2026-10-07
Updated: 2026-10-07
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Biomechanically Informed Image Registration for Patient-Specific Aortic Valve Strain Analysis
- A geometric feature tracking approach for noninvasive patient specific estimation of leaflet strain from 3D images of heart valves
- VoxelMorph: A Learning Framework for Deformable Medical Image Registration
- Optuna: A Next-generation Hyperparameter Optimization Framework
- Patient-specific predictions of aneurysm growth and remodeling in the ascending thoracic aorta using the homogenized constrained mixture model
Related papers
- A likelihood-based framework for simultaneously learning both noise and growth dynamics using biologically-informed neural networks
- Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
- Imaging-anchored multiomics in cardiovascular disease: integrating cardiac imaging, bulk, single-cell, and spatial transcriptomics
- Resolving satellite-in situ mismatches in Net Primary Production using high-frequency in situ bio-optical observations in the subpolar Northwest Atlantic
- easyplater: The easy way to generate microplate designs deconvolved from multivariate clinical data
- Essential Workers at Risk: An Agent-Based Model (SAFE-ABM) with Bayesian Uncertainty Quantification