Contrast-to-noise ratio analysis of microscopic diffusion anisotropy indices in q-space trajectory imaging

Martin J, Endt S, Wetscherek A, Kuder TA, Dörfler A, Uder M, Hensel B, Laun FB (2019)

Publication Type: Journal article

Publication year: 2019

Journal

DOI: 10.1016/j.zemedi.2019.01.003

Abstract

Diffusion anisotropy in diffusion tensor imaging (DTI) is commonly quantified with normalized diffusion anisotropy indices (DAIs). Most often, the fractional anisotropy (FA) is used, but several alternative DAIs have been introduced in attempts to maximize the contrast-to-noise ratio (CNR) in diffusion anisotropy maps. Examples include the scaled relative anisotropy (sRA), the gamma variate anisotropy index (GV), the surface anisotropy (UA surf ), and the lattice index (LI). With the advent of multidimensional diffusion encoding it became possible to determine the presence of microscopic diffusion anisotropy in a voxel, which is theoretically independent of orientation coherence. In accordance with DTI, the microscopic anisotropy is typically quantified by the microscopic fractional anisotropy (μFA). In this work, in addition to the μFA, the four microscopic diffusion anisotropy indices (μDAIs) μsRA, μGV, μUA surf , and μLI are defined in analogy to the respective DAIs by means of the average diffusion tensor and the covariance tensor. Simulations with three representative distributions of microscopic diffusion tensors revealed distinct CNR differences when differentiating between isotropic and microscopically anisotropic diffusion. q-Space trajectory imaging (QTI) was employed to acquire brain in-vivo maps of all indices. For this purpose, a 15 min protocol featuring linear, planar, and spherical tensor encoding was used. The resulting maps were of good quality and exhibited different contrasts, e.g. between gray and white matter. This indicates that it may be beneficial to use more than one μDAI in future investigational studies.

Authors with CRIS profile

Involved external institutions

Deutsches Krebsforschungszentrum (DKFZ) Germany (DE) Royal Marsden Hospital / The Royal Marsden NHS Foundation Trust United Kingdom (GB)

How to cite

APA:

Martin, J., Endt, S., Wetscherek, A., Kuder, T.A., Dörfler, A., Uder, M.,... Laun, F.B. (2019). Contrast-to-noise ratio analysis of microscopic diffusion anisotropy indices in q-space trajectory imaging. Zeitschrift für Medizinische Physik. https://doi.org/10.1016/j.zemedi.2019.01.003

MLA:

Martin, Jan, et al. "Contrast-to-noise ratio analysis of microscopic diffusion anisotropy indices in q-space trajectory imaging." Zeitschrift für Medizinische Physik (2019).

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