Planar-to-curved-surface image registration

Smadar Gefen; Nahum Kiryati; Louise Bertrand; Jonathan Nissanov

doi:10.1109/CVPRW.2006.159

Planar-to-curved-surface image registration

Smadar Gefen, Nahum Kiryati, Louise Bertrand, Jonathan Nissanov

School of Electrical Engineering

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

Abstract

A 2D-to-3D non-rigid intensity-based registration method is proposed. This planar-to-curved-surface image alignment algorithm matches experimental data of two-dimensional images with their corresponding images overlaid on a curved-surface within a volumetric image. This PDE-based 2D-to-3D registration technique allows for inter-modality matching of sectional data with a volumetric image of homologous objects. We demonstrate the feasibility of this method through simulations and in the application of atlas-based segmentation of a mouse brain histological and MRI images.

Original language	English
Title of host publication	2006 Conference on Computer Vision and Pattern Recognition Workshop
DOIs	https://doi.org/10.1109/CVPRW.2006.159
State	Published - 2006
Event	2006 Conference on Computer Vision and Pattern Recognition Workshops - New York, NY, United States Duration: 17 Jun 2006 → 22 Jun 2006

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	2006
ISSN (Print)	1063-6919

Conference

Conference	2006 Conference on Computer Vision and Pattern Recognition Workshops
Country/Territory	United States
City	New York, NY
Period	17/06/06 → 22/06/06

Access to Document

10.1109/CVPRW.2006.159

Cite this

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title = "Planar-to-curved-surface image registration",

abstract = "A 2D-to-3D non-rigid intensity-based registration method is proposed. This planar-to-curved-surface image alignment algorithm matches experimental data of two-dimensional images with their corresponding images overlaid on a curved-surface within a volumetric image. This PDE-based 2D-to-3D registration technique allows for inter-modality matching of sectional data with a volumetric image of homologous objects. We demonstrate the feasibility of this method through simulations and in the application of atlas-based segmentation of a mouse brain histological and MRI images.",

author = "Smadar Gefen and Nahum Kiryati and Louise Bertrand and Jonathan Nissanov",

year = "2006",

doi = "10.1109/CVPRW.2006.159",

language = "אנגלית",

isbn = "0769526462",

series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

booktitle = "2006 Conference on Computer Vision and Pattern Recognition Workshop",

note = "null ; Conference date: 17-06-2006 Through 22-06-2006",

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Gefen, S, Kiryati, N, Bertrand, L & Nissanov, J 2006, Planar-to-curved-surface image registration. in 2006 Conference on Computer Vision and Pattern Recognition Workshop., 1640513, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshops, New York, NY, United States, 17/06/06. https://doi.org/10.1109/CVPRW.2006.159

Planar-to-curved-surface image registration. / Gefen, Smadar; Kiryati, Nahum; Bertrand, Louise et al.

2006 Conference on Computer Vision and Pattern Recognition Workshop. 2006. 1640513 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2006).

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

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Planar-to-curved-surface image registration

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