Non-rigid Image Registration with Equally Weighted Assimilated Surface Constraint

Cheng Zhang; Gary E Christensen; Martin J Murphy; Elisabeth Weiss; Jeffrey F Williamson

doi:10.1007/978-3-319-08554-8_4

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Non-rigid Image Registration with Equally Weighted Assimilated Surface Constraint

Book chapter

Peer reviewed

Non-rigid Image Registration with Equally Weighted Assimilated Surface Constraint

Cheng Zhang, Gary E Christensen, Martin J Murphy, Elisabeth Weiss and Jeffrey F Williamson

Biomedical Image Registration, pp.31-40

Lecture Notes in Computer Science, Springer International Publishing

2014

DOI: 10.1007/978-3-319-08554-8_4

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Abstract

An important research problem in image-guided radiation therapy is how to accurately register daily onboard Cone-beam CT (CBCT) images to higher quality pretreatment fan-beam CT (FBCT) images. Assuming the organ segmentations are both available on CBCT and FBCT images, methods have been proposed to use them to help the intensity-driven image registration. Due to the low contrast between soft-tissue structures exhibited in CBCT, the interobserver contouring variability (expressed as standard deviation) can be as large as 2-3 mm and varies systematically with organ, and relative location on each organ surface. Therefore the inclusion of the segmentations into registration may degrade registration accuracy. To address this issue we propose a surface assimilation method that estimates a new surface from the manual segmentation from a priori organ shape knowledge and the interobserver segmentation error. Our experiment results show the proposed method improves registration accuracy compared to previous methods.

Image Registration

Manual Segmentation

Registration Algorithm

Surface Registration

Target Registration Error

Details

Title: Subtitle: Non-rigid Image Registration with Equally Weighted Assimilated Surface Constraint
Creators: Cheng Zhang - University of Iowa
Gary E Christensen - University of Iowa
Martin J Murphy - Virginia Commonwealth University
Elisabeth Weiss - Virginia Commonwealth University
Jeffrey F Williamson - Virginia Commonwealth University
Resource Type: Book chapter
Publication Details: Biomedical Image Registration, pp.31-40
Publisher: Springer International Publishing; Cham
Series: Lecture Notes in Computer Science
DOI: 10.1007/978-3-319-08554-8_4
eISSN: 1611-3349
ISSN: 0302-9743
Language: English
Date published: 2014
Academic Unit: Radiation Research Laboratory; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center
Record Identifier: 9984197232502771

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