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Authors: C. Wu 1 ; P. E. Murtha 2 ; A. B. Mor 2 and B. Jaramaz 3

Affiliations: 1 Carnegie Mellon University, School of Computer Science, United States ; 2 Institute for Computer Assisted Orthopaedic Surgery, The Western Pennsylvania Hospital Mellon Pavilion, United States ; 3 Carnegie Mellon University, School of Computer Science; Institute for Computer Assisted Orthopaedic Surgery, The Western Pennsylvania Hospital Mellon Pavilion, United States

Keyword(s): 3D deformable registration, Two-level method, Statistical atlas.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Registration ; Medical Image Analysis

Abstract: We propose a two-level method for 3D non-rigid registration and apply the method to the problem of building statistical atlases of 3D anatomical structures. 3D registration is an important problem in computer vision and a challenge topic in medical image field due to the geometrical complexity of anatomical shapes and size of medical image data. In this work we adopt a two-level strategy to deal with these problems. Compared with a general multi-resolution framework, we use an interpolation to propagate the matching instead of repeating registration scheme in each resolution. Our algorithm is divided into two main parts: a low-resolution solution to the correspondences and mapping of surface models using Chui and Rangarajan’s robust point matching algorithm, followed by an interpolation to achieve high-resolution correspondences. Experimental results demonstrate our approach for solving the non-rigid registration and correspondences within complicated 3D data sets. In this paper we p resent an example of this method in the construction of a statistical atlas of the femur. (More)

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Paper citation in several formats:
Wu, C.; E. Murtha, P.; B. Mor, A. and Jaramaz, B. (2007). TWO-LEVEL METHOD FOR 3D NON-RIGID REGISTRATION - With an Application to Statistical Atlases Construction. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP; ISBN 978-972-8865-73-3; ISSN 2184-4321, SciTePress, pages 356-362. DOI: 10.5220/0002061803560362

@conference{visapp07,
author={C. Wu. and P. {E. Murtha}. and A. {B. Mor}. and B. Jaramaz.},
title={TWO-LEVEL METHOD FOR 3D NON-RIGID REGISTRATION - With an Application to Statistical Atlases Construction},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP},
year={2007},
pages={356-362},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002061803560362},
isbn={978-972-8865-73-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP
TI - TWO-LEVEL METHOD FOR 3D NON-RIGID REGISTRATION - With an Application to Statistical Atlases Construction
SN - 978-972-8865-73-3
IS - 2184-4321
AU - Wu, C.
AU - E. Murtha, P.
AU - B. Mor, A.
AU - Jaramaz, B.
PY - 2007
SP - 356
EP - 362
DO - 10.5220/0002061803560362
PB - SciTePress

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