Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Microstructure Diffusion Scalar Measures from Reduced MRI Acquisitions

View ORCID ProfileSantiago Aja-Fernández, View ORCID ProfileRodrigo de Luis-García, View ORCID ProfileMaryam Afzali, Malwina Molendowska, Tomasz Pieciak, View ORCID ProfileAntonio Tristán-Vega
doi: https://doi.org/10.1101/772897
Santiago Aja-Fernández
aLaboratorio de Procesado de Imagen (LPI), Universidad de Valladolid, Spain
dCardiff University Brain Research Imaging Center (CUBRIC), School of Psychology, University of Cardiff, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Santiago Aja-Fernández
  • For correspondence: sanaja@tel.uva.es
Rodrigo de Luis-García
aLaboratorio de Procesado de Imagen (LPI), Universidad de Valladolid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Rodrigo de Luis-García
Maryam Afzali
dCardiff University Brain Research Imaging Center (CUBRIC), School of Psychology, University of Cardiff, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Maryam Afzali
Malwina Molendowska
bAGH University of Science and Technology, Krakow, Poland
cLaboratory of Brain Imaging, Neurobiology Center, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tomasz Pieciak
bAGH University of Science and Technology, Krakow, Poland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Antonio Tristán-Vega
aLaboratorio de Procesado de Imagen (LPI), Universidad de Valladolid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Antonio Tristán-Vega
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

In diffusion MRI, the Ensemble Average diffusion Propagator (EAP) provides relevant microstructural information and meaningful descriptive maps of the white matter previously obscured by traditional techniques like the Diffusion Tensor. The direct estimation of the EAP, however, requires a dense sampling of the Cartesian q-space. Due to the huge amount of samples needed for an accurate reconstruction, more efficient alternative techniques have been proposed in the last decade. Even so, all of them imply acquiring a large number of diffusion gradients with different b-values. In order to use the EAP in practical studies, scalar measures must be directly derived, being the most common the return-to-origin probability (RTOP) and the return-to-plane and return-to-axis probabilities (RTPP, RTAP).

In this work, we propose the so-called “Apparent Measures Using Reduced Acquisitions” (AMURA) to drastically reduce the number of samples needed for the estimation of diffusion properties. AMURA avoids the calculation of the whole EAP by assuming the diffusion anisotropy is roughly independent from the radial direction. With such an assumption, and as opposed to common multi-shell procedures based on iterative optimization, we achieve closed-form expressions for the measures using information from one single shell. This way, the new methodology remains compatible with standard acquisition protocols commonly used for HARDI (based on just one b-value). We report extensive results showing the potential of AMURA to reveal microstructural properties of the tissues compared to state of the art EAP estimators, and is well above that of Diffusion Tensor techniques. At the same time, the closed forms provided for RTOP, RTPP, and RTAP-like magnitudes make AMURA both computationally efficient and robust.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted September 18, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Microstructure Diffusion Scalar Measures from Reduced MRI Acquisitions
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Microstructure Diffusion Scalar Measures from Reduced MRI Acquisitions
Santiago Aja-Fernández, Rodrigo de Luis-García, Maryam Afzali, Malwina Molendowska, Tomasz Pieciak, Antonio Tristán-Vega
bioRxiv 772897; doi: https://doi.org/10.1101/772897
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Microstructure Diffusion Scalar Measures from Reduced MRI Acquisitions
Santiago Aja-Fernández, Rodrigo de Luis-García, Maryam Afzali, Malwina Molendowska, Tomasz Pieciak, Antonio Tristán-Vega
bioRxiv 772897; doi: https://doi.org/10.1101/772897

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4685)
  • Biochemistry (10362)
  • Bioengineering (7682)
  • Bioinformatics (26343)
  • Biophysics (13534)
  • Cancer Biology (10694)
  • Cell Biology (15446)
  • Clinical Trials (138)
  • Developmental Biology (8501)
  • Ecology (12824)
  • Epidemiology (2067)
  • Evolutionary Biology (16867)
  • Genetics (11402)
  • Genomics (15484)
  • Immunology (10621)
  • Microbiology (25226)
  • Molecular Biology (10225)
  • Neuroscience (54482)
  • Paleontology (402)
  • Pathology (1669)
  • Pharmacology and Toxicology (2897)
  • Physiology (4345)
  • Plant Biology (9254)
  • Scientific Communication and Education (1587)
  • Synthetic Biology (2558)
  • Systems Biology (6781)
  • Zoology (1466)