Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21220/15:00236638

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE FOR MULTIMEDIA UNDERSTANDING

ISBN

978-1-4673-8457-5

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

—

Název nakladatele

České vysoké učení technické v Praze

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

29. 10. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000380431200024