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Return-to-Axis Probability Calculation from Single-Shell Acquisitions

  • Santiago Aja-FernándezEmail author
  • Antonio Tristán-Vega
  • Malwina Molendowska
  • Tomasz Pieciak
  • Rodrigo de Luis-García
Conference paper
Part of the Mathematics and Visualization book series (MATHVISUAL)

Abstract

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 requires a dense sampling of the \({\mathbf {q}}\)-space data. Although alternative techniques have been proposed, all of them require a high number of gradients and several b-values to be calculated. Once the EAP is calculated scalar measures must be directly derived. In this work, we propose a method to drastically reduce the number of points needed for the estimation of one of the measures, the return-to-axis probability (RTAP), efficiently estimating the \({\mathbf {q}}\)-space diffusion measure from a single shell acquisition. The proposal avoids the calculation of the EAP assuming that the diffusion does not depend on the radial direction. By applying this assumption locally, we achieve closed-form expressions of the measure using information from only one b-value, compatible with acquisitions protocols used for HARDI. Results have shown that the measures are highly correlated with the same measures calculated with state-of-the-art EAP estimators and highly accelerated execution times.

Keywords

Diffusion MRI RTAP Ensemble average diffusion propagator Microstructure HARDI 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Santiago Aja-Fernández
    • 1
    Email author
  • Antonio Tristán-Vega
    • 1
  • Malwina Molendowska
    • 2
  • Tomasz Pieciak
    • 2
  • Rodrigo de Luis-García
    • 1
  1. 1.Laboratorio de Procesado de Imagen (LPI), E.T.S. Ingenieros de TelecomunicaciónValladolidSpain
  2. 2.AGH University of Science and TechnologyKrakowPoland

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