Moving frames for heart fiber reconstruction

Emmanuel Piuze, Jon Sporring, Kaleem Siddiqi

2 Citations (Scopus)

Abstract

The method of moving frames provides powerful geometrical tools for the analysis of smoothly varying frame fields. However, in the face of missing measurements, a reconstruction problem arises, one that is largely unexplored for 3D frame fields. Here we consider the particular example of reconstructing impaired cardiac diffusion magnetic resonance imaging (dMRI) data. We combine moving frame analysis with a diffusion inpainting scheme that incorporates rule-based priors. In contrast to previous reconstruction methods, this new approach uses comprehensive differential descriptors for cardiac fibers, and is able to fully recover their orientation. We demonstrate the superior performance of this approach in terms of error of fit when compared to alternate methods. We anticipate that these tools could find application in clinical settings, where damaged heart tissue needs to be replaced or repaired, and for generating dense fiber volumes in electromechanical modelling of the heart.

Original languageEnglish
Title of host publicationInformation Processing in Medical Imaging : 24th international conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings
EditorsSebastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, M. Jorge Cardoso
Number of pages13
PublisherSpringer
Publication date2015
Pages527-539
ISBN (Print)978-3-319-19991-7
ISBN (Electronic)978-3-319-19992-4
DOIs
Publication statusPublished - 2015
Event24th International Conference, Information Processing in Medical Imaging - Sabhal Mor Ostaig, Isle of Skye, United Kingdom
Duration: 28 Jun 20153 Jul 2015
Conference number: 24

Conference

Conference24th International Conference, Information Processing in Medical Imaging
Number24
LocationSabhal Mor Ostaig
Country/TerritoryUnited Kingdom
CityIsle of Skye
Period28/06/201503/07/2015
SeriesLecture notes in computer science
Volume9123
ISSN0302-9743

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