Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction

Suheyla Cetin, Berkin Bilgic, Audrey Fan, Samantha Holdsworth, Gozde Unal

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

Abstract

QSM is used to estimate the underlying tissue magnetic susceptibility and oxygen saturation in veins. This paper presents vessel orientation as a new regularization term to improve the accuracy of l1 regularized QSM reconstruction in cerebral veins. For that purpose,the vessel tree is first extracted from an initial QSM reconstruction. In a second step,the vascular geometric prior is incorporated through an orthogonality constraint into the QSM reconstruction. Using a multi-orientation QSM acquisition as gold standard,we show that the QSM reconstruction obtained with the vessel anatomy prior provides up to 40% RMSE reduction relative to the baseline l1 regularizer approach. We also demonstrate in vivo OEF maps along venous veins based on segmentations from QSM. The utility of the proposed method is further supported by inclusion of a separate MRI venography scan to introduce more detailed vessel orientation information into the reconstruction,which provides significant improvement in vessel conspicuity.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
EditorsLeo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Sebastian Ourselin
PublisherSpringer Verlag
Pages467-474
Number of pages8
ISBN (Print)9783319467252
DOIs
StatePublished - 2016
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9902 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • QSM
  • QSM reconstruction
  • Susceptibility MRI
  • Vessel orientation constraint

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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