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Simultaneous magnetic resonance diffusion and pseudo-diffusion tensor imaging

Mozumder, M., Beltrachini, Leandro, Collier, Q., Pozo, J. and Frangi, A. 2018. Simultaneous magnetic resonance diffusion and pseudo-diffusion tensor imaging. Magnetic Resonance in Medicine 79 (4) , pp. 2367-2378. 10.1002/mrm.26840

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Abstract

Purpose An emerging topic in diffusion magnetic resonance is imaging blood micro-circulation alongside water diffusion using the intravoxel incoherent motion (IVIM) model. Recently, a combined IVIM diffusion tensor imaging (IVIM-DTI) model was proposed, which accounts for both anisotropic pseudo-diffusion due to blood microcirculation and anisotropic diffusion due to tissue micro-structures. In this article, we propose a robust IVIM-DTI approach for simultaneous diffusion and pseudo-diffusion tensor imaging. Methods Conventional IVIM estimation methods can be broadly divided into two-step (diffusion and pseudodiffusion estimated separately) and one-step (diffusion and pseudo-diffusion estimated simultaneously) methods. Here, both methods were applied on the IVIM-DTI model. An improved one-step method based on damped Gauss- Newton algorithm and a Gaussian prior for the model parameters was also introduced. The sensitivities of these methods to different parameter initializations were tested with realistic in silico simulations and experimental in vivo data. Results The one-step damped Gauss-Newton method with a Gaussian prior was less sensitive to noise and the choice of initial parameters and delivered more accurate estimates of IVIM-DTI parameters compared to the other methods. Conclusion One-step estimation using damped Gauss-Newton and a Gaussian prior is a robust method for simultaneous diffusion and pseudo-diffusion tensor imaging using IVIM-DTI model.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Subjects: Q Science > QB Astronomy
Q Science > QC Physics
Publisher: Wiley-Blackwell
ISSN: 0740-3194
Date of First Compliant Deposit: 27 June 2017
Date of Acceptance: 24 June 2017
Last Modified: 05 Jun 2018 14:42
URI: http://orca.cf.ac.uk/id/eprint/101738

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