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ABSTRACT: Background
Quantitative plaque assessment based on 3D magnetic resonance (MR) vessel wall imaging (VWI) has been shown to provide valuable numerical markers of the burden and risk of intracranial atherosclerotic disease (ICAD). However, plaque quantification is currently time-consuming and observer-dependent due to the demand for heavy manual effort. A VWI-dedicated automated processing pipeline (VWI-APP) is desirable.Purpose
To develop and evaluate a VWI-APP for end-to-end quantitative analysis of intracranial atherosclerotic plaque.Methods
We retrospectively enrolled 91 subjects with ICAD (80 for pipeline development, 10 for an end-to-end pipeline evaluation, and 1 for demonstrating longitudinal plaque assessment) who had undergone VWI and MR angiography. In an en
SUBMITTER: Zhou H
PROVIDER: S-EPMC10033308 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature