ArticleComputer methods in biomechanics and biomedical engineering2023
Statistical shape representation of the thoracic aorta: accounting for major branches of the aortic arch.
Article in Computer methods in biomechanics and biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing.Computer methods in applied mechanics and engineering · 2026Article
- The Case for Interpretable Geometry: Statistical Shape Models vs. Curvature-Based Descriptors in Aortic Disease Classification.medRxiv : the preprint server for health sciences · 2026Article
- Patient-Specific Fluid-Structure Interaction Simulations Suggest Wall-Shear-Stress-Related Biomarkers in Type B Dissection Associated with Marfan Syndrome.Annals of biomedical engineering · 2026Article
- Feasibility of Zero-Dimensional-Model-Based Pulse Waveform Analysis as a Tool to Detect Ascending Thoracic Aortic Aneurysm Growth.Journal of biomechanical engineering · 2026Article
- Computational Insights into Root Canal Treatment: A Survey of Selected Methods in Imaging, Segmentation, Morphological Analysis, and Clinical Management.Dentistry journal · 2025Review
- Inverse finite element identification of murine aortic material properties:Computer methods in biomechanics and biomedical engineering · 2025Article
- A Technique to Track Scatterers for Continuous High-speed Plane-wave Ultrasound Simulations based on a Fluid Domain Model.IEEE open journal of ultrasonics, ferroelectrics, and frequency control · 2025Article
- SDF4CHD: Generative modeling of cardiac anatomies with congenital heart defects.Medical image analysis · 2024Article
- The role of anatomic shape features in the prognosis of uncomplicated type B aortic dissection initially treated with optimal medical therapy.Computers in biology and medicine · 2024Article
- Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields.PLoS computational biology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Statistical shape modeling (SSM) is an emerging tool for risk assessment of thoracic aortic aneurysm. However, the head branches of the aortic arch are often excluded in SSM. We introduced an SSM strategy based on principal component analysis that accounts for aortic branches and applied it to a set of patient scans. Computational fluid dynamics were performed on the reconstructed geometries to identify the extent to which branch model accuracy affects the calculated wall shear stress (WSS) and pressure. Surface-averaged and location-specific values of pressure did not change significantly, but local WSS error was high near branches when inaccurately modeled.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.