Deformable registration of DTI and spgr images

Hai Li, Tianming Liu, Lei Guo, Stephen T. Wong

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


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 (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Number of pages4
StatePublished - Nov 27 2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007


Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Country/TerritoryUnited States
CityArlington, VA


  • Deformable registration
  • DTI registration
  • Hybrid registration

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Medicine(all)


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