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Abstract #2814

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

Anna Auria 1 , Eric Canales-Rodriguez 2,3 , Yves Wiaux 4 , Tim Dirby 5 , Daniel Alexander 6 , Jean-Philippe Thiran 7,8 , and Alessandro Daducci 1,8

1 Signal Processing Lab (LTS5), EPFL, Lausanne, Switzerland, 2 FIDMAG Germanes Hospitalries, Barcelona, Spain, 3 Centro de Investigacion Biomdica en Red de Salud Mental, CIBERSAM, Spain, 4 Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, United Kingdom, 5 Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Denmark, 6 Department of Computer Science and Centre for Medical Image Computing, University College London, United Kingdom, 7 Signal Processing Lab (LTS5), EPFL, Switzerland, 8 University Hospital Center (CHUV) and University of Lausanne (UNIL), Switzerland

Mapping the microstructure properties of the local tissues in the brain is crucial to understand any pathological condition from a biological perspective. Most of the existing techniques to estimate the microstructure of the white matter assume a single axon orientation whereas numerous regions of the brain actually present a fiber-crossing configuration. The purpose of the present study is to extend a recent convex optimization framework to recover microstructure parameters in regions with multiple fibers.

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