Title
Algorithm Development for Intrafraction Radiotherapy Beam Edge Verification from Cherenkov Imaging.
Document Type
Article
Publication Date
1-2-2018
Publication Title
Journal of Medical Imaging
Department
Thayer School of Engineering
Abstract
Imaging of Cherenkov light emission from patient tissue during fractionated radiotherapy has been shown to be a possible way to visualize beam delivery in real time. If this tool is advanced as a delivery verification methodology, then a sequence of image processing steps must be established to maximize accurate recovery of beam edges. This was analyzed and developed here, focusing on the noise characteristics and representative images from both phantoms and patients undergoing whole breast radiotherapy. The processing included temporally integrating video data into a single, composite summary image at each control point. Each image stack was also median filtered for denoising and ultimately thresholded into a binary image, and morphologic small hole removal was used. These processed images were used for day-to-day comparison computation, and either the Dice coefficient or the mean distance to conformity values can be used to analyze them. Systematic position shifts of the phantom up to 5 mm approached the observed variation values of the patient data. This processing algorithm can be used to analyze the variations seen in patients being treated concurrently with daily Cherenkov imaging to quantify the day-to-day disparities in delivery as a quality audit system for position/beam verification.
DOI
10.1117/1.JMI.5.1.015001
Original Citation
Snyder, Clare; Pogue, Brian W.; Jermyn, Michael; and Tendler, Irwin, "Algorithm Development for Intrafraction Radiotherapy Beam Edge Verification from Cherenkov Imaging," J. Med. Imag., 5(1), 015001, (2018); doi: 10.1117/1.JMI.5.1.015001
Dartmouth Digital Commons Citation
Snyder, Clare; Pogue, Brian W.; Jermyn, Michael; and Tendler, Irwin, "Algorithm Development for Intrafraction Radiotherapy Beam Edge Verification from Cherenkov Imaging." (2018). Dartmouth Scholarship. 3965.
https://digitalcommons.dartmouth.edu/facoa/3965
Comments
Copyright 2018 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.