NDLI: A Novel Image Based Verification Method for Respiratory Motion Management in Radiation Therapy

Content Provider	IEEE Xplore Digital Library
Author	Khamene, Ali Schaller, Christian Hornegger, Joachim Celi, Juan Carlos Ofstad, Barbara Rietzel, Eike Li, X. Allen Tai, An Bayouth, John
Copyright Year	2007
Description	Author affiliation: University of Iowa, Department of Radiation Oncology, 200 Hawkins Dr., LL West Addition, Iowa City IA 52242 USA. john-bayouth@uiowa.edu (Bayouth, John) \|\| Siemens Medical Solutions, Oncology Care Systems, Hans-Bunte-Str. 10, 69123 Heidelberg Germany. Barbara.Ofstad@siemens.com (Ofstad, Barbara) \|\| Siemens Medical Solutions, Particle Therapy, Hofmannstr. 26, 91050 Erlangen Germany. eike.rietzel@siemens.com (Rietzel, Eike) \|\| Medical College of Wisconsin, Department of Radiation Oncology, 8701 Watertown Plank Road. Milwaukee WI 53226 USA. ali@mcw.edu (Li, X. Allen) \|\| University of Erlangen-Nuremberg, Lehrstuhl fuer Mustererkennung, Martensstrasse 3, 91058 Erlangen Germany. Joachim.Hornegger@informatik.uni-erlangen.de (Hornegger, Joachim) \|\| Siemens Medical Solutions, Oncology Care Systems, Hans-Bunte-Str. 10, 69123 Heidelberg Germany. Juan.Celi@siemens.com (Celi, Juan Carlos) \|\| University of Erlangen-Nuremberg, Lehrstuhl fuer Mustererkennung, Martensstrasse 3, 91058 Erlangen Germany. Christian.Schaller@informatik.uni-erlangen.de (Schaller, Christian) \|\| Imaging and Visualization Dept., Siemens Corporate Research, 755 College Rd East, Princeton NJ 08540 USA. ali.khamene@siemens.com (Khamene, Ali) \|\| Medical College of Wisconsin, Department of Radiation Oncology, 8701 Watertown Plank Road. Milwaukee WI 53226 USA (Tai, An)
Abstract	Precise localization of moving targets is essential to increase local control of the cancer via dose escalation while reducing the severity of normal tissue complication. Localization of targets in real time with radio-opaque marker is less favorable considering the excess radiation dose to the patient and potential complications of implantation. Various external surrogates could provide indications of the targets' positions during the breathing process. However, there is a great deal of uncertainty in the correlation between external surrogates and internal target positions/trajectory during respiratory cycles. In order to address this problem, we have developed an algorithm that automatically establishes correspondences between the fluoroscopic sequence frames taken from the patient on the day of treatment and the various phases of a 4DCT planning data set. Image based mapping/synchronization procedure is performed using an underlying Markov model established for the breathing process. The mapping procedure is formulated as an optimization process and is solved efficiently using a dynamic programming technique. Results on the phantom, synthetic, and real patient data demonstrate the effectiveness of the proposed method in coping with respiratory correlation variations. The approach could primarily be used for automatic gating interval adaptation in the gated radiotherapy.
Starting Page	1
Ending Page	7
File Size	521103
Page Count	7
File Format	PDF
ISBN	9781424416301
ISSN	15505499
DOI	10.1109/ICCV.2007.4409134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-14
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical applications of radiation Neoplasms Biomedical imaging Oncology Educational institutions Medical treatment Cancer Visualization Planning Cities and towns
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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