Quantitative Analysis of MRI Signal Abnormalities of Brain White Matter With High Reproducibility and Accuracy

Topics:
Healthcare Services
Tags:
Accuracy,
Harvard College,
Magnetic Resonance Imaging,
Quantitative Analysis,
Segmentation
Source:
President and Fellows of Harvard College

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Overview: The purpose of this paper is to assess the reproducibility and accuracy compared to radiologists of three automated segmentation pipelines for quantitative magnetic resonance imaging (MRI) measurement of brain white matter signal abnormalities (WMSA). The addition of TDS to the EM segmentation and PVEC algorithms significantly improved the accuracy of WMSA volume measurements, while also improving measurement reproducibility.

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Format: PDF | Size: 1,884KB | Date: Jan 2002 | Pages: 7

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