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A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
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Optimal Scaling Approaches for Perfusion MRI with Distorted Arterial Input Function (AIF) in Patients with Ischemic
Sukhdeep Singh Bal1,2,3, Fan Pei Gloria Yang2,4,5, Yueh-Feng Sung6
1Department of Mathematical Sciences, University of Liverpool, Liverpool L69 3BX, UK.
Brain Sciences
|January 21, 2022
Summary
Accurate ischemic stroke diagnosis requires precise perfusion parameter quantification. This study shows rescaling the arterial input function (AIF) corrects partial volume effects (PVE), improving accuracy for critical stroke imaging.
Area of Science:
- Medical Imaging
- Neuroscience
- Radiology
Background:
- Accurate diagnosis and treatment of ischemic stroke rely on precise perfusion parameter quantification.
- The arterial input function (AIF) is crucial for estimating perfusion parameters but can be distorted by partial volume effects (PVE).
Purpose of the Study:
- To investigate the effectiveness of rescaling methods in correcting PVE-induced distortions in the AIF.
- To evaluate the impact of AIF correction on the accuracy of perfusion parameter estimation in stroke patients.
Main Methods:
- Perfusion MRI was performed on 15 stroke patients.
- Partial volume effects were induced on the AIF and corrected using rescaling techniques.
Main Results:
- Rescaled AIFs accurately matched reference AIF curves.
- Inaccurate estimation of cerebral blood flow (CBF) increased with PVE; rescaling reduced this deviation.
- Rescaled AIF approaches generally increased CBF and Tmax values in generated maps.
Conclusions:
- AIF rescaling, particularly using the volume of fraction (VOF) approach, robustly corrects PVE-affected multivoxel AIFs.
- AIF scaling improves the accuracy of absolute perfusion parameters, yielding more reliable CBF and Tmax values.
