Non-rigid MR-CT image registration for MR-Guided Liver Cancer Surgery

Y. W. Chen*, R. Xu, S. Y. Tang, S. Morikawa, Y. Kurumi

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

Recently a growing interest has been seen in minimally invasive treatments with open configuration magnetic resonance (Open-MR) scanners. In this paper, we proposed a semi-automatic nan-rigid MR-CT registration technique for MR-Guided Liver Cancer Surgery in which cancer tissues are coagulated by microwave ablation. Because of the lower magnetic field (0.5T) and various different surgical conditions, sometimes tumors can not be visualized clearly on Open-MR volumes. Combining of CT volumes acquired before surgery, it is possible to identify the tumor's location by application of registration techniques. Since such a registration problem belongs to a non-rigid one considering the easy deformation of livers, free-form deformation (FFD) based registration method is applied. Similarity measurement in registration is normalized mutual information CNMI). Experiments show that the registration is accurate enough (≈1.45mm) for liver cancer surgery given some proper processing steps.

Original languageEnglish
Title of host publication2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
Pages1756-1760
Number of pages5
DOIs
Publication statusPublished - 2007
Event2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 - Beijing, China
Duration: 23 May 200727 May 2007

Publication series

Name2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

Conference

Conference2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
Country/TerritoryChina
CityBeijing
Period23/05/0727/05/07

Keywords

  • Computer aided surgery
  • Free Form Deformation (FFD)
  • Non-rigid image registration
  • Normalized Mutual Information (NMI)
  • Open-MR scanner Guided Liver Cancer Surgery

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