Deformation invariant attribute vector for 3D image registration: Method and validation

Gang Li; Tianming Liu; Geoffrey Young; Lei Guo; Stephen T.C. Wong

doi:10.1109/ISBI.2006.1624948

Deformation invariant attribute vector for 3D image registration: Method and validation

Gang Li
, Tianming Liu
, Geoffrey Young
, Lei Guo
, Stephen T.C. Wong

School of Automation

Northwestern Polytechnical University Xian
Harvard University
Brigham and Women’s Hospital

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a novel method to define deformation invariant attribute vector for each voxel in 3D image for the purpose of anatomic correspondence detection. This is the extension of the work for 2D deformation invariant attribute using geodesic intensity histogram (GIH) [1]. Our original contribution is to extend this 2D technique to 3D image, and validate the method using synthesized deformation in 3D brain MRI image. Both theoretic analysis and initial validation result show that the proposed attribute vector is invariant to deformation. This deformation invariant attribute vector has wide applications in registration of 3D medical images.

Original language	English
Title of host publication	2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro - Proceedings
Publisher	IEEE Computer Society
Pages	442-445
Number of pages	4
ISBN (Print)	0780395778, 9780780395770
DOIs	https://doi.org/10.1109/ISBI.2006.1624948
State	Published - 2006
Event	3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2006 - Arlington, VA, United States Duration: 6 Apr 2006 → 9 Apr 2006

Publication series

Name	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume	2006

Conference

Conference	3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2006
Country/Territory	United States
City	Arlington, VA
Period	6/04/06 → 9/04/06

Access to Document

10.1109/ISBI.2006.1624948

Cite this

Li, G., Liu, T., Young, G., Guo, L., & Wong, S. T. C. (2006). Deformation invariant attribute vector for 3D image registration: Method and validation. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 442-445). Article 1624948 (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings; Vol. 2006). IEEE Computer Society. https://doi.org/10.1109/ISBI.2006.1624948

Li, Gang ; Liu, Tianming ; Young, Geoffrey et al. / Deformation invariant attribute vector for 3D image registration : Method and validation. 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE Computer Society, 2006. pp. 442-445 (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings).

@inproceedings{5b1d4e95d6eb47c49ec52e188f197036,

title = "Deformation invariant attribute vector for 3D image registration: Method and validation",

abstract = "This paper proposes a novel method to define deformation invariant attribute vector for each voxel in 3D image for the purpose of anatomic correspondence detection. This is the extension of the work for 2D deformation invariant attribute using geodesic intensity histogram (GIH) [1]. Our original contribution is to extend this 2D technique to 3D image, and validate the method using synthesized deformation in 3D brain MRI image. Both theoretic analysis and initial validation result show that the proposed attribute vector is invariant to deformation. This deformation invariant attribute vector has wide applications in registration of 3D medical images.",

author = "Gang Li and Tianming Liu and Geoffrey Young and Lei Guo and Wong, \{Stephen T.C.\}",

year = "2006",

doi = "10.1109/ISBI.2006.1624948",

language = "英语",

isbn = "0780395778",

series = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",

publisher = "IEEE Computer Society",

pages = "442--445",

booktitle = "2006 3rd IEEE International Symposium on Biomedical Imaging",

note = "3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2006 ; Conference date: 06-04-2006 Through 09-04-2006",

}

Li, G, Liu, T, Young, G, Guo, L & Wong, STC 2006, Deformation invariant attribute vector for 3D image registration: Method and validation. in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 1624948, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, vol. 2006, IEEE Computer Society, pp. 442-445, 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2006, Arlington, VA, United States, 6/04/06. https://doi.org/10.1109/ISBI.2006.1624948

Deformation invariant attribute vector for 3D image registration: Method and validation. / Li, Gang; Liu, Tianming; Young, Geoffrey et al.
2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE Computer Society, 2006. p. 442-445 1624948 (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper proposes a novel method to define deformation invariant attribute vector for each voxel in 3D image for the purpose of anatomic correspondence detection. This is the extension of the work for 2D deformation invariant attribute using geodesic intensity histogram (GIH) [1]. Our original contribution is to extend this 2D technique to 3D image, and validate the method using synthesized deformation in 3D brain MRI image. Both theoretic analysis and initial validation result show that the proposed attribute vector is invariant to deformation. This deformation invariant attribute vector has wide applications in registration of 3D medical images.

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Li G, Liu T, Young G, Guo L, Wong STC. Deformation invariant attribute vector for 3D image registration: Method and validation. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. IEEE Computer Society. 2006. p. 442-445. 1624948. (2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). doi: 10.1109/ISBI.2006.1624948

Deformation invariant attribute vector for 3D image registration: Method and validation

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