Correlation identification between internal/external motion signals

Huanmei Wu, Qingya Zhao, Ross Berbeco, Seiko Nishioka, Hiroki Shirato, Steve B. Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tumor motion induced by patient breathing decreases the effectiveness of radiation treatment. Image guided radiation treatment (IGRT) is an advanced approach for cancer radiation treatment. The success of IGRT is largely dependent on the accurate localization of tumor in real-time. There are two major imaging approaches currently in use to localize a tumor: internal imaging and external imaging. Internal imaging determines the tumor locations by directly x-ray of the tumor area. It is accurate however radiation dose is a big concern. External imaging derives the internal tumor locations through an external mark on the patient surface. It is radiation dose free however the insufficient accuracy limits its wide application. Integrating the internal and external signals together is necessary for reliable radiation treatment and acceptable patient radiation exposure. Our work tries to identify the correlation patterns between internal/external signals and the influential factors so that the hybrid signal will give desire accuracy in dose delivery while limiting radiation exposure to the patients. Both theoretical simulation based on sinusoidal functions and statistical analysis on real patient data are performed. The sinusoidal simulation will identify the potential influence factors of different correlation conditions. The results have demonstrated the various correlation patterns with amplitude various, frequency changes (duration changes), phase shifts, and baseline drift. The results will aid the statistical analytical on real-patients to identify the dominant factors of the internal/external motion signals for a specific patients. The described work is very useful in advanced IGRT to update the internal/external correlation in real-time for better cancer patient care.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6913
DOIs
StatePublished - 2008
EventMedical Imaging 2008 - Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 18 2008Feb 21 2008

Other

OtherMedical Imaging 2008 - Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/18/082/21/08

Fingerprint

Radiation
Tumors
Imaging techniques
Dosimetry
Phase shift
Statistical methods
X rays

Keywords

  • ALG
  • SIM

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Wu, H., Zhao, Q., Berbeco, R., Nishioka, S., Shirato, H., & Jiang, S. B. (2008). Correlation identification between internal/external motion signals. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 6913). [69131P] https://doi.org/10.1117/12.773995

Correlation identification between internal/external motion signals. / Wu, Huanmei; Zhao, Qingya; Berbeco, Ross; Nishioka, Seiko; Shirato, Hiroki; Jiang, Steve B.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913 2008. 69131P.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wu, H, Zhao, Q, Berbeco, R, Nishioka, S, Shirato, H & Jiang, SB 2008, Correlation identification between internal/external motion signals. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 6913, 69131P, Medical Imaging 2008 - Physics of Medical Imaging, San Diego, CA, United States, 2/18/08. https://doi.org/10.1117/12.773995
Wu H, Zhao Q, Berbeco R, Nishioka S, Shirato H, Jiang SB. Correlation identification between internal/external motion signals. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913. 2008. 69131P https://doi.org/10.1117/12.773995
Wu, Huanmei ; Zhao, Qingya ; Berbeco, Ross ; Nishioka, Seiko ; Shirato, Hiroki ; Jiang, Steve B. / Correlation identification between internal/external motion signals. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6913 2008.
@inproceedings{d2c32d4341ad4106816a2b5c984f6a9e,
title = "Correlation identification between internal/external motion signals",
abstract = "Tumor motion induced by patient breathing decreases the effectiveness of radiation treatment. Image guided radiation treatment (IGRT) is an advanced approach for cancer radiation treatment. The success of IGRT is largely dependent on the accurate localization of tumor in real-time. There are two major imaging approaches currently in use to localize a tumor: internal imaging and external imaging. Internal imaging determines the tumor locations by directly x-ray of the tumor area. It is accurate however radiation dose is a big concern. External imaging derives the internal tumor locations through an external mark on the patient surface. It is radiation dose free however the insufficient accuracy limits its wide application. Integrating the internal and external signals together is necessary for reliable radiation treatment and acceptable patient radiation exposure. Our work tries to identify the correlation patterns between internal/external signals and the influential factors so that the hybrid signal will give desire accuracy in dose delivery while limiting radiation exposure to the patients. Both theoretical simulation based on sinusoidal functions and statistical analysis on real patient data are performed. The sinusoidal simulation will identify the potential influence factors of different correlation conditions. The results have demonstrated the various correlation patterns with amplitude various, frequency changes (duration changes), phase shifts, and baseline drift. The results will aid the statistical analytical on real-patients to identify the dominant factors of the internal/external motion signals for a specific patients. The described work is very useful in advanced IGRT to update the internal/external correlation in real-time for better cancer patient care.",
keywords = "ALG, SIM",
author = "Huanmei Wu and Qingya Zhao and Ross Berbeco and Seiko Nishioka and Hiroki Shirato and Jiang, {Steve B.}",
year = "2008",
doi = "10.1117/12.773995",
language = "English (US)",
isbn = "9780819470973",
volume = "6913",
booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

}

TY - GEN

T1 - Correlation identification between internal/external motion signals

AU - Wu, Huanmei

AU - Zhao, Qingya

AU - Berbeco, Ross

AU - Nishioka, Seiko

AU - Shirato, Hiroki

AU - Jiang, Steve B.

PY - 2008

Y1 - 2008

N2 - Tumor motion induced by patient breathing decreases the effectiveness of radiation treatment. Image guided radiation treatment (IGRT) is an advanced approach for cancer radiation treatment. The success of IGRT is largely dependent on the accurate localization of tumor in real-time. There are two major imaging approaches currently in use to localize a tumor: internal imaging and external imaging. Internal imaging determines the tumor locations by directly x-ray of the tumor area. It is accurate however radiation dose is a big concern. External imaging derives the internal tumor locations through an external mark on the patient surface. It is radiation dose free however the insufficient accuracy limits its wide application. Integrating the internal and external signals together is necessary for reliable radiation treatment and acceptable patient radiation exposure. Our work tries to identify the correlation patterns between internal/external signals and the influential factors so that the hybrid signal will give desire accuracy in dose delivery while limiting radiation exposure to the patients. Both theoretical simulation based on sinusoidal functions and statistical analysis on real patient data are performed. The sinusoidal simulation will identify the potential influence factors of different correlation conditions. The results have demonstrated the various correlation patterns with amplitude various, frequency changes (duration changes), phase shifts, and baseline drift. The results will aid the statistical analytical on real-patients to identify the dominant factors of the internal/external motion signals for a specific patients. The described work is very useful in advanced IGRT to update the internal/external correlation in real-time for better cancer patient care.

AB - Tumor motion induced by patient breathing decreases the effectiveness of radiation treatment. Image guided radiation treatment (IGRT) is an advanced approach for cancer radiation treatment. The success of IGRT is largely dependent on the accurate localization of tumor in real-time. There are two major imaging approaches currently in use to localize a tumor: internal imaging and external imaging. Internal imaging determines the tumor locations by directly x-ray of the tumor area. It is accurate however radiation dose is a big concern. External imaging derives the internal tumor locations through an external mark on the patient surface. It is radiation dose free however the insufficient accuracy limits its wide application. Integrating the internal and external signals together is necessary for reliable radiation treatment and acceptable patient radiation exposure. Our work tries to identify the correlation patterns between internal/external signals and the influential factors so that the hybrid signal will give desire accuracy in dose delivery while limiting radiation exposure to the patients. Both theoretical simulation based on sinusoidal functions and statistical analysis on real patient data are performed. The sinusoidal simulation will identify the potential influence factors of different correlation conditions. The results have demonstrated the various correlation patterns with amplitude various, frequency changes (duration changes), phase shifts, and baseline drift. The results will aid the statistical analytical on real-patients to identify the dominant factors of the internal/external motion signals for a specific patients. The described work is very useful in advanced IGRT to update the internal/external correlation in real-time for better cancer patient care.

KW - ALG

KW - SIM

UR - http://www.scopus.com/inward/record.url?scp=43149110209&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=43149110209&partnerID=8YFLogxK

U2 - 10.1117/12.773995

DO - 10.1117/12.773995

M3 - Conference contribution

AN - SCOPUS:43149110209

SN - 9780819470973

VL - 6913

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

ER -