BICIR:Boundary-Constrained Inverse Consistent Image Registration Using WEB-Splines

Dinesh Kumar; Xiujuan Geng; E.A Hoffman; G.E Christensen

doi:10.1109/CVPRW.2006.44

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Conference proceeding

BICIR:Boundary-Constrained Inverse Consistent Image Registration Using WEB-Splines

Dinesh Kumar, Xiujuan Geng, E.A Hoffman and G.E Christensen

2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), Vol.2006, pp.68-68

2006

DOI: 10.1109/CVPRW.2006.44

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Abstract

We present a new registration method called boundaryconstrained inverse consistent image registration (BICIR). This method is novel because it performs boundary constrained intensity based image registration by combining surface- and intensity-based registration. The method registers a region of interest and ignores everything outside the region eliminating interference caused by surrounding regions. The boundaries of the two objects are first registered using the transitive inverse-consistent manifold registration (TICMR) described in [4]. This provides the boundary conditions, which are used to compute the displacement over the object using the Element Free Galerkin Method (EFGM). The EFGM solution is used as an initialization and is fine-tuned using the intensity information inside the object. The transformations are represented with shape specific basis functions that have local support. These basis functions are defined only over the region of interest and help improve the computational performance. The BICIR method was tested for a number of 2-dimensional test images. The method was validated using the similarity cost, relative overlap and inverse consistency error.

Radiology

Boundary conditions

Cities and towns

Image registration

Interference constraints

Interference elimination

Moment methods

Registers

Shape

Testing

Details

Title: Subtitle: BICIR:Boundary-Constrained Inverse Consistent Image Registration Using WEB-Splines
Creators: Dinesh Kumar - University of Iowa
Xiujuan Geng - University of Iowa
E.A Hoffman - University of Iowa
G.E Christensen - University of Iowa
Resource Type: Conference proceeding
Publication Details: 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), Vol.2006, pp.68-68
Publisher: IEEE
DOI: 10.1109/CVPRW.2006.44
ISSN: 2160-7508
eISSN: 2160-7516
Language: English
Date published: 2006
Academic Unit: The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center; Radiology; Radiation Research Laboratory; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Internal Medicine; Radiation Oncology
Record Identifier: 9984197360002771

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