Extracting quantitative measures from EAP: A small clinical study using BFOR

A. Pasha Hosseinbor, Moo K. Chung, Yu Chien Wu, John O. Fleming, Aaron S. Field, Andrew L. Alexander

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The ensemble average propagator (EAP) describes the 3D average diffusion process of water molecules, capturing both its radial and angular contents, and hence providing rich information about complex tissue microstructure properties. Bessel Fourier orientation reconstruction (BFOR) is one of several analytical, non-Cartesian EAP reconstruction schemes employing multiple shell acquisitions that have recently been proposed. Such modeling bases have not yet been fully exploited in the extraction of rotationally invariant q-space indices that describe the degree of diffusion anisotropy/restrictivity. Such quantitative measures include the zero-displacement probability (Po), mean squared displacement (MSD), q-space inverse variance (QIV), and generalized fractional anisotropy (GFA), and all are simply scalar features of the EAP. In this study, a general relationship between MSD and q-space diffusion signal is derived and an EAP-based definition of GFA is introduced. A significant part of the paper is dedicated to utilizing BFOR in a clinical dataset, comprised of 5 multiple sclerosis (MS) patients and 4 healthy controls, to estimate Po, MSD, QIV, and GFA of corpus callosum, and specifically, to see if such indices can detect changes between normal appearing white matter (NAWM) and healthy white matter (WM). Although the sample size is small, this study is a proof of concept that can be extended to larger sample sizes in the future.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings
EditorsBjoern H. Menze, Georg Langs, Albert Montillo, Georg Langs, Antonio Criminisi, Bjoern H. Menze, Nicholas Ayache, Hervé Delingette, Zhuowen Tu, Le Lu, Polina Golland, Kensaku Mori
PublisherSpringer Verlag
Pages280-287
Number of pages8
ISBN (Print)9783642334177
DOIs
StatePublished - Jan 1 2012
Event15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France
Duration: Oct 5 2012Oct 5 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7511 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012
CountryFrance
CityNice
Period10/5/1210/5/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Hosseinbor, A. P., Chung, M. K., Wu, Y. C., Fleming, J. O., Field, A. S., & Alexander, A. L. (2012). Extracting quantitative measures from EAP: A small clinical study using BFOR. In B. H. Menze, G. Langs, A. Montillo, G. Langs, A. Criminisi, B. H. Menze, N. Ayache, H. Delingette, Z. Tu, L. Lu, P. Golland, & K. Mori (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings (pp. 280-287). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7511 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-33418-4_35