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Title: Assessment of a Model-Based Deformable Image Registration Approach for Radiation Therapy Planning

Abstract

Purpose: The aim of this study is to develop a surface-based deformable image registration strategy and to assess the accuracy of the system for the integration of multimodality imaging, image-guided radiation therapy, and assessment of geometrical change during and after therapy. Methods and Materials: A surface-model-based deformable image registration system has been developed that enables quantitative description of geometrical change in multimodal images with high computational efficiency. Based on the deformation of organ surfaces, a volumetric deformation field is derived using different volumetric elasticity models as alternatives to finite-element modeling. Results: The accuracy of the system was assessed both visually and quantitatively by tracking naturally occurring landmarks (bronchial bifurcations in the lung, vessel bifurcations in the liver, implanted gold markers in the prostate). The maximum displacements for lung, liver and prostate were 5.3 cm, 3.2 cm, and 0.6 cm respectively. The largest registration error (direction, mean {+-} SD) for lung, liver and prostate were (inferior-superior, -0.21 {+-} 0.38 cm) (anterior-posterior, -0.09 {+-} 0.34 cm), and (left-right, 0.04 {+-} 0.38 cm) respectively, which was within the image resolution regardless of the deformation model. The computation time (2.7 GHz Intel Xeon) was on the order of seconds (e.g., 10 s for 2more » prostate datasets), and deformed axial images could be viewed at interactive speed (less than 1 s for 512 x 512 voxels). Conclusions: Surface-based deformable image registration enables the quantification of geometrical change in normal tissue and tumor with acceptable accuracy and speed.« less

Authors:
 [1];  [2];  [3];  [2];  [4];  [2]
  1. Philips Radiation Oncology Systems, Fitchburg, WI (United States). E-mail: Michael.kaus@philips.com
  2. Princess Margaret Hospital, Radiation Medicine Program, Toronto, ON (Canada)
  3. Philips Research Laboratories, Hamburg (Germany)
  4. BC Cancer Agency, Department of Radiation Oncology, Vancouver, BC (Canada)
Publication Date:
OSTI Identifier:
20951680
Resource Type:
Journal Article
Resource Relation:
Journal Name: International Journal of Radiation Oncology, Biology and Physics; Journal Volume: 68; Journal Issue: 2; Other Information: DOI: 10.1016/j.ijrobp.2007.01.056; PII: S0360-3016(07)00240-4; Copyright (c) 2007 Elsevier Science B.V., Amsterdam, Netherlands, All rights reserved; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; ACCURACY; BIFURCATION; CARCINOMAS; ELASTICITY; GHZ RANGE 01-100; IMAGES; LIVER; LUNGS; PLANNING; PROSTATE; RADIOTHERAPY

Citation Formats

Kaus, Michael R., Brock, Kristy K., Pekar, Vladimir, Dawson, Laura A., Nichol, Alan M., and Jaffray, David A. Assessment of a Model-Based Deformable Image Registration Approach for Radiation Therapy Planning. United States: N. p., 2007. Web. doi:10.1016/j.ijrobp.2007.01.056.
Kaus, Michael R., Brock, Kristy K., Pekar, Vladimir, Dawson, Laura A., Nichol, Alan M., & Jaffray, David A. Assessment of a Model-Based Deformable Image Registration Approach for Radiation Therapy Planning. United States. doi:10.1016/j.ijrobp.2007.01.056.
Kaus, Michael R., Brock, Kristy K., Pekar, Vladimir, Dawson, Laura A., Nichol, Alan M., and Jaffray, David A. Fri . "Assessment of a Model-Based Deformable Image Registration Approach for Radiation Therapy Planning". United States. doi:10.1016/j.ijrobp.2007.01.056.
@article{osti_20951680,
title = {Assessment of a Model-Based Deformable Image Registration Approach for Radiation Therapy Planning},
author = {Kaus, Michael R. and Brock, Kristy K. and Pekar, Vladimir and Dawson, Laura A. and Nichol, Alan M. and Jaffray, David A.},
abstractNote = {Purpose: The aim of this study is to develop a surface-based deformable image registration strategy and to assess the accuracy of the system for the integration of multimodality imaging, image-guided radiation therapy, and assessment of geometrical change during and after therapy. Methods and Materials: A surface-model-based deformable image registration system has been developed that enables quantitative description of geometrical change in multimodal images with high computational efficiency. Based on the deformation of organ surfaces, a volumetric deformation field is derived using different volumetric elasticity models as alternatives to finite-element modeling. Results: The accuracy of the system was assessed both visually and quantitatively by tracking naturally occurring landmarks (bronchial bifurcations in the lung, vessel bifurcations in the liver, implanted gold markers in the prostate). The maximum displacements for lung, liver and prostate were 5.3 cm, 3.2 cm, and 0.6 cm respectively. The largest registration error (direction, mean {+-} SD) for lung, liver and prostate were (inferior-superior, -0.21 {+-} 0.38 cm) (anterior-posterior, -0.09 {+-} 0.34 cm), and (left-right, 0.04 {+-} 0.38 cm) respectively, which was within the image resolution regardless of the deformation model. The computation time (2.7 GHz Intel Xeon) was on the order of seconds (e.g., 10 s for 2 prostate datasets), and deformed axial images could be viewed at interactive speed (less than 1 s for 512 x 512 voxels). Conclusions: Surface-based deformable image registration enables the quantification of geometrical change in normal tissue and tumor with acceptable accuracy and speed.},
doi = {10.1016/j.ijrobp.2007.01.056},
journal = {International Journal of Radiation Oncology, Biology and Physics},
number = 2,
volume = 68,
place = {United States},
year = {Fri Jun 01 00:00:00 EDT 2007},
month = {Fri Jun 01 00:00:00 EDT 2007}
}