alexa 3D Volumetric Visualization with Automatic Rigid and Deformable Hybrid Image Registration for Adaptive Radiotherapy
ISSN: 1948-5956

Journal of Cancer Science & Therapy
Open Access

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Research Article

3D Volumetric Visualization with Automatic Rigid and Deformable Hybrid Image Registration for Adaptive Radiotherapy

Chang-Yu Wang1,2, Tsair-Fwu Lee1,2*, Chun-Hsiung Fang1

1National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, ROC

2Department of Radiation Oncology, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan

*Corresponding Author:
Dr. Tsair-Fwu Lee, Ph.D
National Kaohsiung University of Applied Sciences
Kaohsiung, Taiwan, ROC
Tel: 886-7- 3814526
Fax: 886-7-3811182
E-mail: [email protected], [email protected]

Received Date: October 22, 2009; Accepted Date: November 29, 2009; Published Date: November 29, 2009

Citation: Wang CY, Lee TF, Fang CH (2009) 3D Volumetric Visualization with Automatic Rigid and Deformable Hybrid Image Registration for Adaptive Radiotherapy. J Cancer Sci Ther 1: 041-000. doi: 10.4172/1948-5956.1000007

Copyright: © 2009 Wang CY, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

To provide more clinically convenient image fusions for adaptive radiotherapy (ART), an automatic rigid and deformable image registration framework (AIRF) is developed for multimodal visualization of multiple chronological images and multiple radiotherapy (RT) plans. Our hybrid image registration framework, AIRF, uses a faster but less accurate rigid registration method to provide an initial registration, followed by a slower but more accurate deformable registration method to fine tune the final registration. A multi-resolution approach is also employed in the image registration process to further improve the registration accuracy, robustness and efficiency. Volume visualization is provided to guide the automatic image registration process because it can reduce the global positioning error that results from a partial 3D visual presentation in the three conventional orthogonal planar views (axial, sagittal, and coronal). The AIRF can automatically align multiple volumetric images of patients taken over an extended period of time and can merge multiple radiotherapy plans based on different planning computed tomography (CT) images. It offers illustrative 3D volumetric visualization, hybrid rigid and deformable image registration, and automatic transfer of RT dose distribution and RT structure models such as treatment targets and organs at risk (OARs) onto chronological images. The AIRF can automatically register multiple volumetric image datasets of patients taken over an extended period of time and can merge multiple RT plans based on different planning CT images for 4D or adaptive radiotherapy.

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