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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

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名2007 4th IEEE International Symposium on Biomedical Imaging
主期刊副标题From Nano to Macro - Proceedings
出版商IEEE Computer Society
29-32
页数4
ISBN(印刷版)1424406722, 9781424406722
DOI
出版状态已出版 - 2007
活动4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007 - Arlington, VA, 美国
期限: 12 4月 200715 4月 2007

出版系列

姓名2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

会议

会议4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2007
国家/地区美国
Arlington, VA
时期12/04/0715/04/07

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