Title
Target evolution modeling for robotized adaptive radiotherapy
Abstract
Adaptive Radiotherapy Treatment (ART) of cancerous organs is based on manipulating Autonomous Robotic System (ARS) used for radiation. After each treatment session, the biological organ is subject to deformation. Treatment efficiency depends highly on predicting successfully the shape of the deformable organ, being treated, prior to commencement of a new session. We begin our study by focusing on recent methods being implemented in adaptive radiotherapy treatment. Then we investigate the structural organization of treatment method from technological and biological perspectives by applying the concept of System of Systems (SoS). Moreover, we present our contribution to ART by means of a predictive model that anticipates the deformation of cancerous organ (Biological System) and issue appropriate control commands needed for adapting the ARS (Technological System). In order to do this issue, we propose in this paper a modeling evolution of a biological target to be treated or avoided during the robotized radiation sessions. For this, a bi-cubic Bézier spline surface method has been applied to reconstruct the organ in 3D dimension. The reconstruction of an organ will allows us to track the deformation of biological organ. The results show that the studied organ (Parotid) is smoothly reconstructed and its center of gravity is identified kinematicaly after each treatment session, in order to elaborate a predictive model-based approach for adaptive robotized radiotherapy.
Year
DOI
Venue
2014
10.1109/AIM.2014.6878065
AIM
Keywords
Field
DocType
biological organs,cancer,medical robotics,radiation therapy,splines (mathematics),ars,art,sos,adaptive radiotherapy treatment,autonomous robotic system,bi-cubic bezier spline surface method,biological organ,biological perspectives,biological system,cancerous organ deformation,center of gravity,predictive model,predictive model-based approach,robotized adaptive radiotherapy,system of systems,target evolution modeling,technological perspectives,treatment session,adaptive robotized radiotherapy,bézier spline surface,target evolution model,surface reconstruction,bismuth,biological systems,image reconstruction,robots
Computer vision,Robotic systems,Simulation,Computer science,System of systems,Control engineering,Radiation therapy,Artificial intelligence,Biological target
Conference
ISSN
Citations 
PageRank 
2159-6255
0
0.34
References 
Authors
6
6
Name
Order
Citations
PageRank
ali raad100.34
Mohammad Ayache232.77
alaa abboud300.34
astrid permezel400.34
Rochdi Merzouki511725.83
Eric Lartigau621.74