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Image processing approaches to enhance perivascular space visibility and quantification using MRI
Farshid Sepehrband1, Giuseppe Barisano2,3, Nasim Sheikh-Bahaei2,4
1Laboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. farshid.sepehrband@loni.usc.edu.
Scientific Reports
|August 28, 2019
Summary
This study introduces Enhanced PVS Contrast (EPC), a new neuroimaging method combining T1- and T2-weighted MRI scans to improve the visibility of perivascular spaces (PVS). EPC enhances PVS conspicuity and enables more accurate quantification.
Area of Science:
- Neuroimaging
- Medical Image Analysis
- Radiology
Background:
- Perivascular spaces (PVS) imaging is clinically valuable but current methods lack detailed mapping and quantification.
- Existing PVS evaluation relies on visual scoring, often missing smaller PVS.
- Enhanced PVS visibility is crucial for diagnosis and neuroscience research.
Purpose of the Study:
- To develop and validate a novel neuroimaging technique for improved perivascular space (PVS) visibility and quantification.
- To enhance the contrast ratio between PVS and surrounding brain tissue using image processing.
Main Methods:
- Combined T1- and T2-weighted MRI images.
- Applied adaptive filtering to remove spatial noise.
- Developed an Enhanced PVS Contrast (EPC) technique.
- Evaluated EPC using expert readers and automated quantification in healthy adults.
Main Results:
- The Enhanced PVS Contrast (EPC) method significantly improved the conspicuity of perivascular spaces (PVS).
- EPC facilitated the resolution and detection of a greater number of PVS.
- A reliable automated PVS quantification approach was developed and optimized.
Conclusions:
- The developed Enhanced PVS Contrast (EPC) technique effectively enhances PVS visibility on MRI.
- This method supports improved medical diagnosis and neuroscientific investigation of PVS.
- Automated quantification offers a reliable tool for PVS assessment.
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