Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00305516" target="_blank" >RIV/68407700:21220/15:00305516 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21220/15:00236638
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7347084" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7347084</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IWCIM.2015.7347084" target="_blank" >10.1109/IWCIM.2015.7347084</a>
Alternative languages
Result language
angličtina
Original language name
Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy
Original language description
In radiation therapy, inter-and intra-fractional tumor motions significantly limit the efficiency of radiation delivery, and bring potential risk to healthy organs and tissues adjacent to the tumor during treatment. To deliver a high-dose radiation adapting to the intra-fractional tumor motion, real-time imaging and tracking the tumor motion during the treatment became critical tasks in radiation therapy research. In this paper, we present our recent studies on tracking the respiration-induced lung tumor motion based on kilo-voltage (kV) and mega-voltage (MV) X-ray fluoroscopy systems. Especially, our focus is on developing robust tracking algorithms to track the deformable tumor motion in real-time. For the kV fluoroscopy, a kernel-based method, which is robust against the tumor deformation and low-contrast image quality, is proposed to track the tumor position. In addition, for the MV fluoroscopy, a region-scalable level set method (LSM) is proposed to tracking the tumor boundary. Experimental results conducted on phantom and clinical data demonstrated the effectiveness of our proposed methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE FOR MULTIMEDIA UNDERSTANDING
ISBN
978-1-4673-8457-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Praha
Event date
Oct 29, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380431200024