ArticleMedical physics2023
In silico simulation of hepatic arteries: An open-source algorithm for efficient synthetic data generation.
Article in Medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Topological Tracks Patterned via 3D Printing Vascularize Murine Organ-Scale Constructs.Cell biomaterials · 2026Article
- Multiscale modeling of drug-induced liver injury from organ to lobule.NPJ digital medicine · 2025Article
- Dosimetrically coupled multiscale tetrahedral mesh models of human liver vasculature: implications for radiopharmaceutical dosimetry of both organ blood and parenchyma.Physics in medicine and biology · 2025Article
- Automatic vessel attenuation measurement for quality control of contrast-enhanced CT: Validation on the portal vein.Medical physics · 2024Article
- Motion-compensation approach for quantitative digital subtraction angiography and its effect onJournal of medical imaging (Bellingham, Wash.) · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundIn silico testing of novel image reconstruction and quantitative algorithms designed for interventional imaging requires realistic high-resolution modeling of arterial trees with contrast dynamics. Furthermore, data synthesis for training of deep learning algorithms requires that an arterial tree generation algorithm be computationally efficient and sufficiently random. PURPOSE: The purpose of this paper is to provide a method for anatomically and physiologically motivated, computationally efficient, random hepatic arterial tree generation.
methodsThe vessel generation algorithm uses a constrained constructive optimization approach with a volume minimization-based cost function. The optimization is constrained by the Couinaud liver classification system to assure a main feeding artery to each Couinaud segment. An intersection check is included to guarantee non-intersecting vasculature and cubic polynomial fits are used to optimize bifurcation angles and to generate smoothly curved segments. Furthermore, an approach to simulate contrast dynamics and respiratory and cardiac motion is also presented.
resultsThe proposed algorithm can generate a synthetic hepatic arterial tree with 40 000 branches in 11 s. The high-resolution arterial trees have realistic morphological features such as branching angles (MAD with Murray's law
conclusionsThis method facilitates the generation of large datasets of high-resolution, unique hepatic angiograms for the training of deep learning algorithms and initial testing of novel 3D reconstruction and quantitative algorithms designed for interventional imaging.
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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 Socratic graph.