Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke

Mathilde Giacalone, Carole Frindel, Marc Robini, David Rousseau

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

1 Citation (Scopus)

Abstract

We develop a globally convergent deconvolution algorithm for perfusion dynamic susceptibility contrast MRI applied to stroke. This algorithm includes, in addition to temporal and spatial regularization terms, a non-negativity constraint. Experiments on real data show performance improvements with the non-negativity constraint in the temporal regularization context.

Original languageEnglish
Title of host publicationIWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing
EditorsRenata Rybarova, Gregor Rozinaj, Ivan Minarik, Peter Truchly
PublisherIEEE Computer Society
ISBN (Electronic)9781467395557
DOIs
Publication statusPublished - 2016 Jun 30
Externally publishedYes
Event23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016 - Bratislava, Slovakia
Duration: 2016 May 232016 May 25

Publication series

NameInternational Conference on Systems, Signals, and Image Processing
Volume2016-June
ISSN (Print)2157-8672
ISSN (Electronic)2157-8702

Conference

Conference23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016
CountrySlovakia
CityBratislava
Period16/5/2316/5/25

Keywords

  • acute stroke
  • inverse problem
  • perfusion MRI deconvolution

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Software

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