Efficient experimental designs for isotropic generalized diffusion tensor MRI (IGDTI). Issue 1 (7th May 2017)

• Record Type: Journal Article
• Authors: Avram, Alexandru V.; Sarlls, Joelle E.; Hutchinson, Elizabeth; Basser, Peter J.
• Is Part Of: Magnetic resonance in medicine. Volume 79:Issue 1(2018)
• Page Start: 180
• Page End: 194
• Publication Date: 2017-05-07
• Subjects: mean diffusivity -- anisotropy -- mean apparent diffusion coefficient (mADC) -- trace -- diffusion tensor imaging (DTI) -- higher‐order tensor -- HOT; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.26656
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: We propose a new generalized diffusion tensor imaging (GDTI) experimental design and analysis framework for efficiently measuring orientationally averaged diffusion‐weighted images (DWIs), which remove bulk signal modulations attributed to diffusion anisotropy and quantify isotropic higher‐order diffusion tensors (HOT). We illustrate how this framework accelerates the clinical measurement of rotation‐invariant tissue microstructural parameters derived from HOT, such as the HOT‐Trace and the mean t‐kurtosis. Theory and Methods: For a large range of b‐values, we compare orientationally averaged DWIs measured with high angular resolution diffusion imaging to those obtained with the proposed isotropic GDTI (IGDTI) experimental design. We compare rotation‐invariant microstructural parameters measured with IGDTI to those derived from HOTs measured explicitly with GDTI. Results: In both fixed‐brain microimaging and in vivo clinical experiments, IGDTI accurately quantifies mean apparent diffusion coefficient (mADC)‐weighted DWIs over a wide range of b‐values and allows efficient computation of HOT‐derived scalar tissue parameters from a small number of DWIs. Conclusions: IGDTI provides direct and accurate estimates of orientationally averaged tissue water mobilities over a wide range of b‐values. This efficient method may enable new, sensitive, and quantitative assessments for clinical applications in which changes in mADC can be observe, d such as detecting and characterizing stroke, cancers, and neurodegenerative diseases. Magn Reson Med 79:180–194, 2018. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.