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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