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Multiparametric Quantitative MRI in Neurological Diseases.
Alexander Seiler1,2, Ulrike Nöth2,3, Pavel Hok4
1Department of Neurology, Goethe University, Frankfurt, Germany.
Frontiers in Neurology
|March 25, 2021
Summary
Multiparametric quantitative MRI (qMRI) offers advanced insights into neurological diseases by detecting subtle microstructural changes. This technique surpasses conventional MRI in identifying early tissue damage and disease patterns.
Area of Science:
- Neuroimaging
- Biomedical Engineering
- Quantitative MRI
Background:
- Conventional MRI is limited to macroscopic pathology detection.
- Subtle microstructural tissue integrity impairments are often missed.
- Hardware and protocol variations complicate conventional MRI analysis.
Purpose of the Study:
- To review current multiparametric quantitative MRI (qMRI) techniques.
- To highlight key tissue parameters measurable by qMRI.
- To explore qMRI applications in neurological disease diagnosis and management.
Main Methods:
- Quantitative MRI (qMRI) parameter determination.
- Analysis of microstructural tissue processes.
- Review of qMRI applications in inflammatory, cerebrovascular, and neurodegenerative diseases.
Main Results:
- qMRI detects microstructural processes preceding tissue atrophy.
- It reveals early impairment of tissue integrity and disease-specific patterns.
- qMRI identifies damage in normal-appearing white matter and correlates with clinical symptoms.
Conclusions:
- Multiparametric qMRI provides valuable information beyond conventional MRI.
- It enables early diagnosis, monitoring of disease progression, and therapeutic evaluation.
- qMRI enhances characterization of neurological diseases by assessing microstructural integrity.
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