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Open AccessArticle10.34917/2826313

A diffusion tensor imaging software comparison and between control subjects and subjects with known anatomical diagnosis

Michael C. Moore-2020-05-01-Digital Scholarship - UNLV (University of Nevada Reno)
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TL;DRAbstract

Diffusion weighted imaging (DWI) is a magnetic resonance imaging (MRI) method that produces in vivo images of biological tissues weighted with the local micro-structural characteristics of water diffusion. Diffusion tensor imaging (DTI), a form of DWI, is useful when a tissue, such as the neural axons of white matter in the brain, has an internal fibrous structure that allows water to diffuse more rapidly in alignment with the fibers. Changes in the water diffusion pattern indicate changes in the fiber structure which can result from damage to the fibers. Measurements of the water diffusion patterns include overall diffusivity, Apparent Diffusion Coefficient (ADC), and the linear component of the ADC known as the Fractional Anisotropy (FA). The purpose of this study is three fold: (1) to evaluate the reproducibility of ADC and FA values obtained from the same dataset between two Diffusion Tensor Imaging analysis software packages (Analyze 10.0 and Philips PRIDE), (2) to use the results

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Diffusion weighted imaging (DWI) is a magnetic resonance imaging (MRI) method that produces in vivo images of biological tissues weighted with the local micro-structural characteristics of water diffusion. Diffusion tensor imaging (DTI), a form of DWI, is useful when a tissue, such as the neural axons of white matter in the brain, has an internal fibrous structure that allows water to diffuse more rapidly in alignment with the fibers. Changes in the water diffusion pattern indicate changes in the fiber structure which can result from damage to the fibers. Measurements of the water diffusion patterns include overall diffusivity, Apparent Diffusion Coefficient (ADC), and the linear component of the ADC known as the Fractional Anisotropy (FA). The purpose of this study is three fold: (1) to evaluate the reproducibility of ADC and FA values obtained from the same dataset between two Diffusion Tensor Imaging analysis software packages (Analyze 10.0 and Philips PRIDE), (2) to use the results

Keywords

Diffusion MRISoftwareMedicineComputer scienceArtificial intelligenceRadiologyComputer visionMagnetic resonance imaging

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