Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer
Lung cancer is the most deadly cancer in the United States. Radiation therapy uses ionizing radiation with high energy to destroy lung tumor cells by damaging their genetic material, preventing those cells from reproducing. The most challenging aspect of modern radiation therapy for lung cancer is t...
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-1952222015-10-23T04:42:18Z Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer Xu, Qianyi Schowengerdt, Robert A. Schowengerdt, Robert A. Hamilton, Russell J. Strickland, Robin N. Radiation Therapy Tumor Tracking Registration Respiratory Gating Setup Verification Lung cancer is the most deadly cancer in the United States. Radiation therapy uses ionizing radiation with high energy to destroy lung tumor cells by damaging their genetic material, preventing those cells from reproducing. The most challenging aspect of modern radiation therapy for lung cancer is the motion of lung tumors caused by patient breathing during treatment. Most gating based radiotherapy derives the tumor motion from external surrogates and generates a respiratory signal to trigger the beam. We propose a method that monitors internal diaphragm motion, which can provide a respiratory signal that is more highly correlated to lung tumor motion compared to the external surrogates. We also investigate direct tracking of the tumor in fluoroscopic video imagery. We tracked fixed tumor contours in fluoroscopic videos for 5 patients. The predominant tumor displacements are well tracked based on optical flow. Some tumors or nearby anatomy features exhibit severe nonrigid deformation, especially in the supradiaphragmatic region. By combining Active Shape Models and the respiratory signal, the deformed contours are tracked within a range defined in the training period. All the tracking results are validated by a human expert and the proposed methods are promising for applications in radiotherapy. Another important aspect of lung patient treatment is patient setup verification, which is needed to reduce inter- and intra-fractions geometry uncertainties and ensure precise dose delivery. Currently, there is no universally accepted method for lung patient verification. We propose to register 4DCT and 2D x-ray images taken before treatment to derive the couch shifts necessary for precise radiotherapy. The proposed technique leads to improved patient care. 2007 text Electronic Dissertation http://hdl.handle.net/10150/195222 659747124 2041 EN Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. The University of Arizona. |
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EN |
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Radiation Therapy Tumor Tracking Registration Respiratory Gating Setup Verification |
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Radiation Therapy Tumor Tracking Registration Respiratory Gating Setup Verification Xu, Qianyi Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer |
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Lung cancer is the most deadly cancer in the United States. Radiation therapy uses ionizing radiation with high energy to destroy lung tumor cells by damaging their genetic material, preventing those cells from reproducing. The most challenging aspect of modern radiation therapy for lung cancer is the motion of lung tumors caused by patient breathing during treatment. Most gating based radiotherapy derives the tumor motion from external surrogates and generates a respiratory signal to trigger the beam. We propose a method that monitors internal diaphragm motion, which can provide a respiratory signal that is more highly correlated to lung tumor motion compared to the external surrogates. We also investigate direct tracking of the tumor in fluoroscopic video imagery. We tracked fixed tumor contours in fluoroscopic videos for 5 patients. The predominant tumor displacements are well tracked based on optical flow. Some tumors or nearby anatomy features exhibit severe nonrigid deformation, especially in the supradiaphragmatic region. By combining Active Shape Models and the respiratory signal, the deformed contours are tracked within a range defined in the training period. All the tracking results are validated by a human expert and the proposed methods are promising for applications in radiotherapy. Another important aspect of lung patient treatment is patient setup verification, which is needed to reduce inter- and intra-fractions geometry uncertainties and ensure precise dose delivery. Currently, there is no universally accepted method for lung patient verification. We propose to register 4DCT and 2D x-ray images taken before treatment to derive the couch shifts necessary for precise radiotherapy. The proposed technique leads to improved patient care. |
author2 |
Schowengerdt, Robert A. |
author_facet |
Schowengerdt, Robert A. Xu, Qianyi |
author |
Xu, Qianyi |
author_sort |
Xu, Qianyi |
title |
Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer |
title_short |
Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer |
title_full |
Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer |
title_fullStr |
Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer |
title_full_unstemmed |
Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer |
title_sort |
towards intelligent tumor tracking and setup verification in radiation therapy for lung cancer |
publisher |
The University of Arizona. |
publishDate |
2007 |
url |
http://hdl.handle.net/10150/195222 |
work_keys_str_mv |
AT xuqianyi towardsintelligenttumortrackingandsetupverificationinradiationtherapyforlungcancer |
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1718099492490706944 |