Virendra Mishra1, Xiaohu Guo2, Mauricio R Delgado3, Hao Huang1,4. 1. Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA. 2. Department of Computer Science, University of Texas at Dallas, Richardson, Texas, USA. 3. Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA. 4. Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Abstract
PURPOSE: White matter fractional anisotropy (FA), a measure suggesting microstructure, is significantly underestimated with single diffusion tensor model at crossing-fiber regions (CFR). We propose a tract-specific FA (TSFA), corrected for the effects of crossing-fiber geometry and free water at CFR, and adapted for tract analysis with diffusion MRI (dMRI) in clinical research. METHODS: At CFR voxels, the proposed technique estimates free water fraction (fiso ) as a linear function of mean apparent diffusion coefficient (mADC), fits the dual tensors and estimates TSFA. Digital phantoms were designed for testing the accuracy of fiso and fitted dual-anisotropies at CFR. The technique was applied to clinical dMRI of normal subjects and hereditary spastic paraplegia (HSP) patients to test the effectiveness of TSFA. RESULTS: Phantom simulation showed unbiased estimates of dual-tensor anisotropies at CFR and high accuracy of fiso as a linear function of mADC. TSFA at CFR was highly consistent to the single tensor FA at non-CFR within the same tract with normal human dMRI. Additional HSP imaging biomarkers with significant correlation to clinical motor function scores could be identified with TSFA. CONCLUSION: Results suggest the potential of the proposed technique in estimating unbiased TSFA at CFR and conducting tract analysis in clinical research.
PURPOSE: White matter fractional anisotropy (FA), a measure suggesting microstructure, is significantly underestimated with single diffusion tensor model at crossing-fiber regions (CFR). We propose a tract-specific FA (TSFA), corrected for the effects of crossing-fiber geometry and freewater at CFR, and adapted for tract analysis with diffusion MRI (dMRI) in clinical research. METHODS: At CFR voxels, the proposed technique estimates freewater fraction (fiso ) as a linear function of mean apparent diffusion coefficient (mADC), fits the dual tensors and estimates TSFA. Digital phantoms were designed for testing the accuracy of fiso and fitted dual-anisotropies at CFR. The technique was applied to clinical dMRI of normal subjects and hereditary spastic paraplegia (HSP) patients to test the effectiveness of TSFA. RESULTS: Phantom simulation showed unbiased estimates of dual-tensor anisotropies at CFR and high accuracy of fiso as a linear function of mADC. TSFA at CFR was highly consistent to the single tensor FA at non-CFR within the same tract with normal humandMRI. Additional HSP imaging biomarkers with significant correlation to clinical motor function scores could be identified with TSFA. CONCLUSION: Results suggest the potential of the proposed technique in estimating unbiased TSFA at CFR and conducting tract analysis in clinical research.
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