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Related Experiment Video

Updated: Jul 11, 2025

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Published on: February 17, 2013

Real-time model-based cerebral perfusion calculation for ischemic stroke.

Hao Sun¹, Bao Li¹, Jincheng Liu¹

¹Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, No. 100 Pingleyuan, Chaoyang, Beijing 100124, China.

Computer Methods and Programs in Biomedicine

|November 17, 2023

Summary

This summary is machine-generated.

A new lumped-parameter model (LPM) of brain tissue microcirculation (BTM) uses computed tomography angiography (CTA) to calculate cerebral perfusion in real time. This BTM-LPM model accurately predicts ischemic stroke damage, offering a faster, lower-radiation alternative to CTP.

Keywords:

Cerebral perfusion Ischemic stroke Lumped-parameter model

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Last Updated: Jul 11, 2025

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

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An In Vivo Assessment of Blood-Brain Barrier Disruption in a Rat Model of Ischemic Stroke

Published on: March 11, 2018

Area of Science:

Biomedical Engineering
Neuroimaging
Computational Fluid Dynamics

Background:

Clinical diagnosis of ischemic stroke often uses computed tomography perfusion (CTP).
CTP involves higher radiation doses, costs, and time compared to computed tomography angiography (CTA).
There is a need for faster, lower-radiation methods for assessing cerebral perfusion.

Purpose of the Study:

To develop a lumped-parameter model (LPM) of brain tissue microcirculation (BTM) based on CTA.
To enable real-time calculation of cerebral perfusion.
To evaluate the model's accuracy and its application in simulating ischemic stroke scenarios.

Main Methods:

Established a BTM-LPM based on CTA data.
Validated the model's calculated flow results against clinical data.
Simulated ischemic stroke effects by considering Circle of Willis (CoW) anatomy and arterial stenosis patterns.

Main Results:

The BTM-LPM achieved high accuracy, with a mean squared error of 3.9% for feeding arteries and 0.1% for microcirculatory flow.
Calculation time was significantly reduced to 35.6 seconds.
Model simulations demonstrated how CoW variations and stenosis impact ischemic damage distribution in brain tissue.

Conclusions:

The BTM-LPM accurately calculates cerebral perfusion in real time using CTA.
The model highlights the critical role of CoW anatomy in determining ischemic injury patterns.
BTM-LPM shows promise as a replacement for CTP in early diagnosis and preoperative planning for ischemic stroke.