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Related Experiment Video

Updated: Apr 20, 2026

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice

Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice

Published on: September 13, 2016

Algorithmically generated rodent hepatic vascular trees in arbitrary detail.

Lars Ole Schwen¹, Weiwei Wei², Felix Gremse³

¹Fraunhofer MEVIS, Universitätsallee 29, 28359 Bremen, Germany.

Journal of Theoretical Biology

|December 3, 2014

Summary

This summary is machine-generated.

This study refines hepatic vascular models in rodents using Constrained Constructive Optimization (CCO). Calibrated CCO improves geometric accuracy for detailed liver blood flow simulations.

Keywords:

Constrained constructive optimization Hepatic portal vein Hepatic vein

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Area of Science:

* Biomedical Engineering
* Computational Biology
* Medical Imaging

Background:

* Physiologically realistic liver vasculature models are crucial for simulating hepatic blood flow.
* Current imaging techniques lack sufficient vascular detail for many simulation needs.
* Algorithmic refinement methods, like Constrained Constructive Optimization (CCO), are necessary to generate detailed models.

Purpose of the Study:

* To extend the Constrained Constructive Optimization (CCO) calibration to rodent liver vasculature.
* To analyze geometric features of rodent hepatic vascular trees from micro-CT scans.
* To refine CCO for generating detailed, individual-specific vascular models for rodents.

Main Methods:

* Analysis of geometric features from in vivo and ex vivo micro-CT scans of rodent livers and vasculature.
* Application of the Constrained Constructive Optimization (CCO) procedure to pruned vascular trees.
* Comparison of algorithmic results with original vascular trees using similarity measures.
* Calibration of CCO postprocessing for improved accuracy.

Main Results:

* Calibrated CCO significantly improved the similarity of algorithmic vascular trees to original rodent trees.
* Average similarity for angular features increased from 0.27 to 0.61 after calibration.
* Total similarity improved from 0.28 to 0.40 with calibrated CCO postprocessing.
* The calibrated algorithm successfully refined measured vascular trees to higher levels of detail.

Conclusions:

* The Constrained Constructive Optimization (CCO) algorithm has been successfully adapted for rodent liver vasculature.
* Calibrated CCO generates accurate, individual-specific hepatic vascular models for rodents.
* These refined models are suitable for advanced simulations, including detailed blood flow modeling.