Elastic image registration using linear basis functions for non-continuously deforming objects

Yechiel Lamash, Anath Fischer, Jonathan Lessick

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the current study we propose an elastic image registration algorithm for a non-continuous motion field and spatially varying properties of the domain. The approach is based on using linear basis functions that inherently have non-continuous derivatives and allow geometric separation of an object from its background. We use the elastic regular-ization term commonly used in finite element analysis and combine it with the recent state-of-the-art image registration optimization method. We validated our algorithm's concept using simulation of a non-continuous motion field obtained by hand articulations and tested the effect of the object's background on the algorithm's convergence. We show that for non-continuously deforming objects the proposed algorithm outperforms commonly used registration algorithms that work on a regular grid of control points.

Original languageEnglish
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Pages572-575
Number of pages4
ISBN (Electronic)9781467319591
DOIs
StatePublished - 29 Jul 2014
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: 29 Apr 20142 May 2014

Publication series

Name2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Conference

Conference2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/TerritoryChina
CityBeijing
Period29/04/142/05/14

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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