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Global optimization based registration technique for tracking knee cartilage thickness changes in MR images

  • School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

The objective of this work is to develop and validate a computational method for fast and globally solving the registration problem of the three-dimensional (3-D) bone surface from MR images of knee joint. This technique is used to monitor the local cartilage thickness changes over time. By introducing a 'Lipschitzation' process to the traditional cost function, global optimality is guaranteed and a global search over the transformation (translation and rotation) space can be carried out effectively. A fast optimization algorithm to minimize the Lipschitzized cost function is described. We conducted a series of experiments to test and validate the 3-D registration method. Both synthetic realistic MR data and clinical data were used to systematically test and evaluate registration accuracy.

Original languageEnglish
Title of host publicationPIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing
EditorsYinglin Wang, Xuelong Li, Hongming Cai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages11-15
Number of pages5
ISBN (Electronic)9781479920334
DOIs
StatePublished - 2 Dec 2014
Externally publishedYes
Event2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014 - Shanghai, China
Duration: 16 May 201418 May 2014

Publication series

NamePIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing

Conference

Conference2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014
Country/TerritoryChina
CityShanghai
Period16/05/1418/05/14

Keywords

  • cartilage thickness
  • global optimization
  • registration
  • tracking

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