𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Analysis of partial volume effects in diffusion-tensor MRI

✍ Scribed by Andrew L. Alexander; Khader M. Hasan; Mariana Lazar; Jay S. Tsuruda; Dennis L. Parker


Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
320 KB
Volume
45
Category
Article
ISSN
0740-3194

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

The diffusion tensor is currently the accepted model of diffusion in biological tissues. The measured diffusion behavior may be more complex when two or more distinct tissues with different diffusion tensors occupy the same voxel. In this study, a partial volume model of MRI signal behavior for two diffusion‐tensor compartments is presented. Simulations using this model demonstrate that the conventional single diffusion tensor model could lead to highly variable and inaccurate measurements of diffusion behavior. The differences between the single and two‐tensor models depend on the orientations, fractions, and exchange between the two diffusion tensor compartments, as well as the diffusion‐tensor encoding technique and diffusion‐weighting that is used in the measurements. The current single compartment model's inaccuracies could cause diffusion‐based characterization of cerebral ischemia and white matter connectivity to be incorrect. A diffusion‐tensor MRI imaging experiment on a normal human brain revealed significant partial volume effects between oblique white matter regions when using very large voxels and large diffusion‐weighting (b ∼ 2.69 × 10^3^ sec/mm^2^). However, the apparent partial volume effects in white matter decreased significantly when smaller voxel dimensions were used. For diffusion tensor studies obtained using typical diffusion‐weighting values (b ∼ 1 × 10^3^ sec/mm^2^) partial volume effects are much more difficult to detect and resolve. More accurate measurements of multiple diffusion compartments may lead to improved confidence in diffusion measurements for clinical applications. Magn Reson Med 45:770–780, 2001. © 2001 Wiley‐Liss, Inc.


📜 SIMILAR VOLUMES


Mohr diagram representation of anisotrop
✍ Mehmet Bilgen; Ibrahim Elshafiey; Ponnada A. Narayana 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 150 KB

## Abstract With current approaches, it is difficult to visually comprehend the complete information contained in a diffusion tensor (DT) measured from a microscopically heterogeneous biological tissue. Therefore, in this work the Mohr diagram is introduced to graphically display the key aspects of

Visualization and analysis of white matt
✍ Song Zhang; Mark E. Bastin; David H. Laidlaw; Saurabh Sinha; Paul A. Armitage; T 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 289 KB

## Abstract This work presents a method that permits the characterization, quantification, and 3D visualization of white matter structural information contained within diffusion tensor MR imaging (DT‐MRI) data. In this method, regions within the brain are defined as possessing linear, planar, or sp

Theoretical analysis of the effects of n
✍ Adam W. Anderson 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 247 KB

## Abstract A theoretical framework is presented for understanding the effects of noise on estimates of the eigenvalues and eigenvectors of the diffusion tensor at moderate to high signal‐to‐noise ratios. Image noise produces a random perturbation of the diffusion tensor. Power series solutions to

Impact of partial volume effects on visc
✍ Anqi Zhou; Horacio Murillo; Qi Peng 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 409 KB

## Abstract ## Purpose: To quantitatively estimate the impact of partial volume effects on visceral adipose tissue (VAT) quantification using typical resolution magnetic resonance imaging (MRI). ## Materials and Methods: Nine normal or overweight subjects were scanned at central abdomen levels w