2D/3D registration algorithm for lung brachytherapy
Abstract
Purpose: A 2D/3D registration algorithm is proposed for registering orthogonal x-ray images with a diagnostic CT volume for high dose rate (HDR) lung brachytherapy. Methods: The algorithm utilizes a rigid registration model based on a pixel/voxel intensity matching approach. To achieve accurate registration, a robust similarity measure combining normalized mutual information, image gradient, and intensity difference was developed. The algorithm was validated using a simple body and anthropomorphic phantoms. Transfer catheters were placed inside the phantoms to simulate the unique image features observed during treatment. The algorithm sensitivity to various degrees of initial misregistration and to the presence of foreign objects, such as ECG leads, was evaluated. Results: The mean registration error was 2.2 and 1.9 mm for the simple body and anthropomorphic phantoms, respectively. The error was comparable to the interoperator catheter digitization error of 1.6 mm. Preliminary analysis of data acquired from four patients indicated a mean registration error of 4.2 mm. Conclusions: Results obtained using the proposed algorithm are clinically acceptable especially considering the complications normally encountered when imaging during lung HDR brachytherapy.
- Authors:
-
- McMaster University, Medical Physics and Applied Radiation Sciences, Hamilton, Ontario L8S 4L8 (Canada)
- Publication Date:
- OSTI Identifier:
- 22130534
- Resource Type:
- Journal Article
- Journal Name:
- Medical Physics
- Additional Journal Information:
- Journal Volume: 40; Journal Issue: 2; Other Information: (c) 2013 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 62 RADIOLOGY AND NUCLEAR MEDICINE; 60 APPLIED LIFE SCIENCES; BRACHYTHERAPY; COMPUTERIZED TOMOGRAPHY; DOSE RATES; IMAGE PROCESSING; IMAGES; LUNGS; PATIENTS; PHANTOMS; SENSITIVITY; X RADIATION
Citation Formats
Zvonarev, P. S., Farrell, T. J., Hunter, R., Wierzbicki, M., Hayward, J. E., Juravinski Cancer Centre, Medical Physics, Hamilton, Ontario L8V 5C2, Sur, R. K., and Juravinski Cancer Centre, Radiation Oncology, Hamilton, Ontario L8V 5C2. 2D/3D registration algorithm for lung brachytherapy. United States: N. p., 2013.
Web. doi:10.1118/1.4788663.
Zvonarev, P. S., Farrell, T. J., Hunter, R., Wierzbicki, M., Hayward, J. E., Juravinski Cancer Centre, Medical Physics, Hamilton, Ontario L8V 5C2, Sur, R. K., & Juravinski Cancer Centre, Radiation Oncology, Hamilton, Ontario L8V 5C2. 2D/3D registration algorithm for lung brachytherapy. United States. https://doi.org/10.1118/1.4788663
Zvonarev, P. S., Farrell, T. J., Hunter, R., Wierzbicki, M., Hayward, J. E., Juravinski Cancer Centre, Medical Physics, Hamilton, Ontario L8V 5C2, Sur, R. K., and Juravinski Cancer Centre, Radiation Oncology, Hamilton, Ontario L8V 5C2. 2013.
"2D/3D registration algorithm for lung brachytherapy". United States. https://doi.org/10.1118/1.4788663.
@article{osti_22130534,
title = {2D/3D registration algorithm for lung brachytherapy},
author = {Zvonarev, P. S. and Farrell, T. J. and Hunter, R. and Wierzbicki, M. and Hayward, J. E. and Juravinski Cancer Centre, Medical Physics, Hamilton, Ontario L8V 5C2 and Sur, R. K. and Juravinski Cancer Centre, Radiation Oncology, Hamilton, Ontario L8V 5C2},
abstractNote = {Purpose: A 2D/3D registration algorithm is proposed for registering orthogonal x-ray images with a diagnostic CT volume for high dose rate (HDR) lung brachytherapy. Methods: The algorithm utilizes a rigid registration model based on a pixel/voxel intensity matching approach. To achieve accurate registration, a robust similarity measure combining normalized mutual information, image gradient, and intensity difference was developed. The algorithm was validated using a simple body and anthropomorphic phantoms. Transfer catheters were placed inside the phantoms to simulate the unique image features observed during treatment. The algorithm sensitivity to various degrees of initial misregistration and to the presence of foreign objects, such as ECG leads, was evaluated. Results: The mean registration error was 2.2 and 1.9 mm for the simple body and anthropomorphic phantoms, respectively. The error was comparable to the interoperator catheter digitization error of 1.6 mm. Preliminary analysis of data acquired from four patients indicated a mean registration error of 4.2 mm. Conclusions: Results obtained using the proposed algorithm are clinically acceptable especially considering the complications normally encountered when imaging during lung HDR brachytherapy.},
doi = {10.1118/1.4788663},
url = {https://www.osti.gov/biblio/22130534},
journal = {Medical Physics},
issn = {0094-2405},
number = 2,
volume = 40,
place = {United States},
year = {Fri Feb 15 00:00:00 EST 2013},
month = {Fri Feb 15 00:00:00 EST 2013}
}