Registration of 3-D CT and 2-D flat images of mouse via affine transformation

Zheng Xia; Xishi Huang; Xiaobo Zhou; Youxian Sun; Vasilis Ntziachristos; Stephen T C Wong

doi:10.1109/TITB.2007.904631

Registration of 3-D CT and 2-D flat images of mouse via affine transformation

Zheng Xia, Xishi Huang, Xiaobo Zhou, Youxian Sun, Vasilis Ntziachristos, Stephen T C Wong

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

It is difficult to directly coregister the 3-D fluorescence molecular tomography (FMT) image of a small tumor in a mouse whose maximal diameter is only a few millimeters with a larger CT image of the entire animal that spans about 10 cm. This paper proposes a new method to register 2-D flat and 3-D CT image first to facilitate the registration between small 3-D FMT images and large 3-D CT images. A novel algorithm combining differential evolution and improved simplex method for the registration between the 2-D flat and 3-D CT images is introduced and validated with simulated images and real images of mice. The visualization of the alignment of the 3-D FMT and CT image through 2-D registration shows promising results.

Original language	English (US)
Pages (from-to)	569-578
Number of pages	10
Journal	IEEE Transactions on Information Technology in Biomedicine
Volume	12
Issue number	5
DOIs	https://doi.org/10.1109/TITB.2007.904631
State	Published - 2008

Keywords

Animal molecular imaging
Fluorescence molecular (FMT)
Registration
Snake model

ASJC Scopus subject areas

Health Informatics
Health Information Management
Information Systems
Computer Science Applications
Computational Theory and Mathematics
Medicine(all)

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10.1109/TITB.2007.904631

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title = "Registration of 3-D CT and 2-D flat images of mouse via affine transformation",

abstract = "It is difficult to directly coregister the 3-D fluorescence molecular tomography (FMT) image of a small tumor in a mouse whose maximal diameter is only a few millimeters with a larger CT image of the entire animal that spans about 10 cm. This paper proposes a new method to register 2-D flat and 3-D CT image first to facilitate the registration between small 3-D FMT images and large 3-D CT images. A novel algorithm combining differential evolution and improved simplex method for the registration between the 2-D flat and 3-D CT images is introduced and validated with simulated images and real images of mice. The visualization of the alignment of the 3-D FMT and CT image through 2-D registration shows promising results.",

keywords = "Animal molecular imaging, Fluorescence molecular (FMT), Registration, Snake model",

author = "Zheng Xia and Xishi Huang and Xiaobo Zhou and Youxian Sun and Vasilis Ntziachristos and Wong, {Stephen T C}",

note = "Funding Information: Manuscript received September 24, 2006; revised January 21, 2007 and April 16, 2007. First published June 10, 2008; current version published September 4, 2008. The work of Z. Xia and Y. Sun was supported in part by the Key Technologies R&D Program of Zhejiang Province under Grant 2005C21087, and in part by the Academician Foundation of Zhejiang Province under Grant 2005A1001-13. The work of X. Zhou was supported in part by the Harvard Center for Neurodegeneration and Repair (HCNR) Center for Bioinformatics Research, Harvard Medical School under a Research Grant. The work of S. T. C. Wong was supported in part by the Harvard Center for Neurodegeneration and Repair (HCNR) Center for Bioinformatics Research, Harvard Medical School under a Research Grant, and in part by the National Institutes of Health under Grant R01 LM008696. Copyright: Copyright 2008 Elsevier B.V., All rights reserved.",

year = "2008",

doi = "10.1109/TITB.2007.904631",

language = "English (US)",

volume = "12",

pages = "569--578",

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AU - Wong, Stephen T C

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Registration of 3-D CT and 2-D flat images of mouse via affine transformation

Abstract

Keywords

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