Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes

Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Fergus V. Glesson, Sir Michael Brady, Julia A. Schnabel

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

15 Citations (Scopus)

Abstract

Deformable medical image registration requires the optimisation of a function with a large number of degrees of freedom. Commonly-used approaches to reduce the computational complexity, such as uniform B-splines and Gaussian image pyramids, introduce translation-invariant homogeneous smoothing, and may lead to less accurate registration in particular for motion fields with discontinuities. This paper introduces the concept of sparse image representation based on supervoxels, which are edge-preserving and therefore enable accurate modelling of sliding organ motions frequently seen in respiratory and cardiac scans. Previous shortcomings of using supervoxels in motion estimation, in particular inconsistent clustering in ambiguous regions, are overcome by employing multiple layers of supervoxels. Furthermore, we propose a new similarity criterion based on a binary shape representation of supervoxels, which improves the accuracy of single-modal registration and enables multi-modal registration. We validate our findings based on the registration of two challenging clinical applications of volumetric deformable registration: motion estimation between inhale and exhale phase of CT scans for radiotherapy planning, and deformable multi-modal registration of diagnostic MRI and CT chest scans. The experiments demonstrate state-of-the-art registration accuracy, and require no additional anatomical knowledge with greatly reduced computational complexity.

Original languageEnglish
Title of host publicationInformation Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Proceedings
Pages463-474
Number of pages12
DOIs
Publication statusPublished - 12 Jul 2013
Externally publishedYes
Event23rd International Conference on Information Processing in Medical Imaging, IPMI 2013 - Asilomar, CA, United States
Duration: 28 Jun 20133 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7917 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other23rd International Conference on Information Processing in Medical Imaging, IPMI 2013
CountryUnited States
CityAsilomar, CA
Period28/06/133/07/13

Keywords

  • multi-modal fusion
  • pulmonary
  • sliding motion
  • supervoxels

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Heinrich, M. P., Jenkinson, M., Papiez, B. W., Glesson, F. V., Brady, S. M., & Schnabel, J. A. (2013). Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes. In Information Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Proceedings (pp. 463-474). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7917 LNCS). https://doi.org/10.1007/978-3-642-38868-2_39