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Pore size estimation from double diffusion encoding: A multidimensional acquisition helps reduce numerical inversion instability by Vincent Methot; Patricia Ulloa; Martin A. Koch is a Engineering article available to read on EtoBox.

What is Pore size estimation from double diffusion encoding: A multidimensional acquisition helps reduce numerical inversion instability about?

## Abstract Double diffusion encoding is a magnetic resonance technique with applications in measuring microstructure. In many tissues, cell size (which is of a few micrometers) is an important biological parameter. Estimating an arbitrary pore size distribution from a diffusion attenuated signal usually relies on varying a single experimental setting. This inversion process is numerically unstable. Numerical simulations are presented, where multiple experimental settings are varied concomitantly. The inversion’s results show good agreement with ground truth.

Who reads Pore size estimation from double diffusion encoding: A multidimensional acquisition helps reduce numerical inversion instability?

It is typically read by researchers, students, and practitioners in Engineering.

Author
Vincent Methot; Patricia Ulloa; Martin A. Koch
Publisher
Walter de Gruyter GmbH
Published
2017
Language
EN
Field
Engineering (Physical Sciences)

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