Peer-reviewed veterinary case report
Fast image-to-mesh conversion for brain aneurysm simulations
By Garner K et al.·2026·Department of Computer Science, United States·View original on Europe PMC →
PetCaseFinder translated the abstract of this peer-reviewed paper into plain English so pet owners can read it. We do not publish original research — every detail traces back to the citation above. How we work →
Original publication title: Near real-time adaptive isotropic and anisotropic image-to-mesh conversion for cerebral aneurysm simulations.
Plain-English summary
This study focuses on improving a method that helps create detailed 3D models of blood vessels in the brain, specifically for simulating brain aneurysms. The researchers developed two techniques that make this process faster and more efficient, allowing for high-quality models to be generated quickly from medical images. They tested their methods on two brain aneurysm cases using a powerful supercomputer, achieving impressive results: one method could create a model with around 50 million parts in less than a minute, while the other took about five minutes. Overall, the new techniques significantly enhance the speed and quality of creating these important medical models.
Abstract
This paper presents two performance optimization techniques for a mesh adaptation method that is designed to help streamline the discretization of complex vascular geometries within the numerical modeling process. This method is integrated into a pipeline with an image-to-mesh conversion tool to generate adaptive anisotropic meshes from segmented medical images. The pipeline is shown to satisfy quality, fidelity, smoothness, and robustness requirements while providing near real-time performance for medical image-to-mesh conversion. Tested with two brain aneurysm cases and utilizing up to 96 CPU cores within a single, multicore node on Purdue University's Anvil supercomputer, the parallel adaptive anisotropic meshing method utilizes a hierarchical load balancing model (designed for large, cc-NUMA shared memory architectures) and contains an optimized local reconnection operation that performs three times faster than its original implementation from previous studies. While utilizing a new user-defined sizing function, we also show an adaptive isotropic method that generates meshes with good quality and fidelity of up to approximately 50 million elements in less than a minute while the adaptive anisotropic method is shown to generate approximately the same number of elements in about 5 min.
Find similar cases for your pet
PetCaseFinder finds other peer-reviewed reports of pets with the same symptoms, plus a plain-English summary of what was tried across them.
Search related cases →Original publication on Europe PMC: https://europepmc.org/article/MED/41716751