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Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.


CiteScore 2018: 0.47

Source Normalized Impact per Paper (SNIP) 2018: 0.377

Open Access
Online
ISSN
2364-5504
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Optimization of diffusion imaging for multiple target regions using maximum likelihood estimation

Lars Bielak
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  • Dept. of Radiology, Medical Physics, Medical Center – University of Freiburg, Breisacherstr.60a, 79106 Freiburg, Germany
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/ Michael Bock
  • Dept. of Radiology, Medical Physics, Medical Center – University of Freiburg, Breisacherstr.60a, 79106 Freiburg, Germany
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Published Online: 2017-09-07 | DOI: https://doi.org/10.1515/cdbme-2017-0043

Abstract

In this work a procedure is proposed to determine an optimal distribution of b-values in diffusion MRI measu-rements. The optimization procedure uses a method of Maximum Likelihood Estimation which can operate on any given number of b-values, values of the diffusion coefficients (ADC) and measurement noise strengths. Optimal b-values are calculated for white and gray brain matter. An optimi-zation for more than one ADC is demonstrated using multiple target values.

Keywords: Diffusion MRI; Maximum Likelihood analysis; MRI protocol optimization

About the article

Published Online: 2017-09-07


Citation Information: Current Directions in Biomedical Engineering, Volume 3, Issue 2, Pages 203–206, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2017-0043.

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©2017 Lars Bielak et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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