Reconstruction of convex polynomial diffusion MRI models using semi-definite programming

T.C.J. Dela Haije, A. Fuster, L.M.J. Florack

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

Abstract

In this work we describe and perform the reconstruction of general polynomial diffusion MRI models, with the added constraint that the polynomials are convex. This is done by requiring the Hessian of the model to be sum-of-squares. The resulting optimization problem is shown to be solvable in a reasonable amount of time for the scale of data typical in clinical diffusion MRI acquisitions.
Original languageEnglish
Title of host publicationProceedings of the 23rd Annual Meeting of the ISMRM, Toronto, Canada
Pages2821
Publication statusPublished - 2015
Event23rd ISMRM Annual Meeting and Exhibition, May 30-June 6, 2015, Toronto, Canada - Toronto, Canada
Duration: 30 May 20155 Jun 2015
http://www.ismrm.org/15/program_files/ThuTP02.htm

Conference

Conference23rd ISMRM Annual Meeting and Exhibition, May 30-June 6, 2015, Toronto, Canada
Abbreviated titleISMRM2015
CountryCanada
CityToronto
Period30/05/155/06/15
Internet address

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