Cargando…

Enhancement of megavoltage electronic portal images for markerless tumor tracking

PURPOSE: The poor quality of megavoltage (MV) images from electronic portal imaging device (EPID) hinders visual verification of tumor targeting accuracy particularly during markerless tumor tracking. The aim of this study was to investigate the effect of a few representative image processing treatm...

Descripción completa

Detalles Bibliográficos
Autores principales: Cheong, Kwang‐Ho, Yoon, Jai‐Woong, Park, Soah, Hwang, Taejin, Kang, Sei‐Kwon, Koo, Taeryool, Han, Tae Jin, Kim, Haeyoung, Lee, Me Yeon, Kim, Kyoung Ju, Bae, Hoonsik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123147/
https://www.ncbi.nlm.nih.gov/pubmed/29984883
http://dx.doi.org/10.1002/acm2.12411
_version_ 1783352799203950592
author Cheong, Kwang‐Ho
Yoon, Jai‐Woong
Park, Soah
Hwang, Taejin
Kang, Sei‐Kwon
Koo, Taeryool
Han, Tae Jin
Kim, Haeyoung
Lee, Me Yeon
Kim, Kyoung Ju
Bae, Hoonsik
author_facet Cheong, Kwang‐Ho
Yoon, Jai‐Woong
Park, Soah
Hwang, Taejin
Kang, Sei‐Kwon
Koo, Taeryool
Han, Tae Jin
Kim, Haeyoung
Lee, Me Yeon
Kim, Kyoung Ju
Bae, Hoonsik
author_sort Cheong, Kwang‐Ho
collection PubMed
description PURPOSE: The poor quality of megavoltage (MV) images from electronic portal imaging device (EPID) hinders visual verification of tumor targeting accuracy particularly during markerless tumor tracking. The aim of this study was to investigate the effect of a few representative image processing treatments on visual verification and detection capability of tumors under auto tracking. METHODS: Images of QC‐3 quality phantom, a single patient's setup image, and cine images of two‐lung cancer patients were acquired. Three image processing methods were individually employed to the same original images. For each deblurring, contrast enhancement, and denoising, a total variation deconvolution, contrast‐limited adaptive histogram equalization (CLAHE), and median filter were adopted, respectively. To study the effect of image enhancement on tumor auto‐detection, a tumor tracking algorithm was adopted in which the tumor position was determined as the minimum point of the mean of the sum of squared pixel differences (MSSD) between two images. The detectability and accuracy were compared. RESULTS: Deblurring of a quality phantom image yielded sharper edges, while the contrast‐enhanced image was more readable with improved structural differentiation. Meanwhile, the denoising operation resulted in noise reduction, however, at the cost of sharpness. Based on comparison of pixel value profiles, contrast enhancement outperformed others in image perception. During the tracking experiment, only contrast enhancement resulted in tumor detection in all images using our tracking algorithm. Deblurring failed to determine the target position in two frames out of a total of 75 images. For original and denoised set, target location was not determined for the same five images. Meanwhile, deblurred image showed increased detection accuracy compared with the original set. The denoised image resulted in decreased accuracy. In the case of contrast‐improved set, the tracking accuracy was nearly maintained as that of the original image. CONCLUSIONS: Considering the effect of each processing on tumor tracking and the visual perception in a limited time, contrast enhancement would be the first consideration to visually verify the tracking accuracy of tumors on MV EPID without sacrificing tumor detectability and detection accuracy.
format Online
Article
Text
id pubmed-6123147
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-61231472018-09-10 Enhancement of megavoltage electronic portal images for markerless tumor tracking Cheong, Kwang‐Ho Yoon, Jai‐Woong Park, Soah Hwang, Taejin Kang, Sei‐Kwon Koo, Taeryool Han, Tae Jin Kim, Haeyoung Lee, Me Yeon Kim, Kyoung Ju Bae, Hoonsik J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: The poor quality of megavoltage (MV) images from electronic portal imaging device (EPID) hinders visual verification of tumor targeting accuracy particularly during markerless tumor tracking. The aim of this study was to investigate the effect of a few representative image processing treatments on visual verification and detection capability of tumors under auto tracking. METHODS: Images of QC‐3 quality phantom, a single patient's setup image, and cine images of two‐lung cancer patients were acquired. Three image processing methods were individually employed to the same original images. For each deblurring, contrast enhancement, and denoising, a total variation deconvolution, contrast‐limited adaptive histogram equalization (CLAHE), and median filter were adopted, respectively. To study the effect of image enhancement on tumor auto‐detection, a tumor tracking algorithm was adopted in which the tumor position was determined as the minimum point of the mean of the sum of squared pixel differences (MSSD) between two images. The detectability and accuracy were compared. RESULTS: Deblurring of a quality phantom image yielded sharper edges, while the contrast‐enhanced image was more readable with improved structural differentiation. Meanwhile, the denoising operation resulted in noise reduction, however, at the cost of sharpness. Based on comparison of pixel value profiles, contrast enhancement outperformed others in image perception. During the tracking experiment, only contrast enhancement resulted in tumor detection in all images using our tracking algorithm. Deblurring failed to determine the target position in two frames out of a total of 75 images. For original and denoised set, target location was not determined for the same five images. Meanwhile, deblurred image showed increased detection accuracy compared with the original set. The denoised image resulted in decreased accuracy. In the case of contrast‐improved set, the tracking accuracy was nearly maintained as that of the original image. CONCLUSIONS: Considering the effect of each processing on tumor tracking and the visual perception in a limited time, contrast enhancement would be the first consideration to visually verify the tracking accuracy of tumors on MV EPID without sacrificing tumor detectability and detection accuracy. John Wiley and Sons Inc. 2018-07-09 /pmc/articles/PMC6123147/ /pubmed/29984883 http://dx.doi.org/10.1002/acm2.12411 Text en © 2018 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Cheong, Kwang‐Ho
Yoon, Jai‐Woong
Park, Soah
Hwang, Taejin
Kang, Sei‐Kwon
Koo, Taeryool
Han, Tae Jin
Kim, Haeyoung
Lee, Me Yeon
Kim, Kyoung Ju
Bae, Hoonsik
Enhancement of megavoltage electronic portal images for markerless tumor tracking
title Enhancement of megavoltage electronic portal images for markerless tumor tracking
title_full Enhancement of megavoltage electronic portal images for markerless tumor tracking
title_fullStr Enhancement of megavoltage electronic portal images for markerless tumor tracking
title_full_unstemmed Enhancement of megavoltage electronic portal images for markerless tumor tracking
title_short Enhancement of megavoltage electronic portal images for markerless tumor tracking
title_sort enhancement of megavoltage electronic portal images for markerless tumor tracking
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123147/
https://www.ncbi.nlm.nih.gov/pubmed/29984883
http://dx.doi.org/10.1002/acm2.12411
work_keys_str_mv AT cheongkwangho enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT yoonjaiwoong enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT parksoah enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT hwangtaejin enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT kangseikwon enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT kootaeryool enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT hantaejin enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT kimhaeyoung enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT leemeyeon enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT kimkyoungju enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking
AT baehoonsik enhancementofmegavoltageelectronicportalimagesformarkerlesstumortracking