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Deformable registration of DTI and spgr images

  • Hai Li
  • , Tianming Liu
  • , Lei Guo
  • , Stephen T.C. Wong
  • Northwestern Polytechnical University Xian
  • Harvard University
  • Brigham and Women’s Hospital

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

Abstract

Registration of DTI data with structure data, such as SPGR data, has import application in quantitative analysis of brain microstructures such as tissue diffusivity. However, due to potential problems such as EPI geometric distortion, partial volume effect and image reslicing errors, accurate registration of these two types of MRI images is challenging. In this paper, we present a novel deformable registration approach for DTI data and SPGR data. The registration approach includes two steps: (1) brain tissue segmentation based on seven-channel fusion of DTI data in order to obtain a complete tissue segmentation map of CSF, GM, and WM in the DTI space; and (2) hybrid volumetric and surface registration of DTI and SPGR data with the tissue segmentation maps in both DTI space and SPGR space. Experimental results are provided to demonstrate the performance of our approach.

Original languageEnglish
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
PublisherIEEE Computer Society
Pages29-32
Number of pages4
ISBN (Print)1424406722, 9781424406722
DOIs
StatePublished - 2007
Event4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007 - Arlington, VA, United States
Duration: 12 Apr 200715 Apr 2007

Publication series

Name2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Conference

Conference4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007
Country/TerritoryUnited States
CityArlington, VA
Period12/04/0715/04/07

Keywords

  • DTI registration
  • Deformable registration
  • Hybrid registration

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