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Processing and evaluation of image matching tools in radiotherapy; Mise en oeuvre et evaluation d'outils de fusion d'image en radiotherapie

Abstract

Cancer is a major problem of public health. Treatment can be done in a general or loco-regional way, in this last case medical images are important as they specify the localization of the tumour. The objective of the radiotherapy is to deliver a curative dose of radiation in the target volume while sparing the organs at risks (O.A.R.). The determination of the accurate localization of the targets volume as well as O.A.R. make it possible to define the ballistic of irradiation beams. After the description of the principles of radiotherapy and cancers treatment, we specify the clinical stakes of ocular, cerebral and prostatic tumours. We present a state of the art of image matching, the various techniques reviewed with an aim of being didactic with respect to the medical community. The results of matching are presented within the framework of the planning of the cerebral and prostatic radiotherapy in order to specify the types of applicable matching in oncology and more particularly in radiotherapy. Then, we present the prospects for this type of application according to various anatomical areas. Applications of automatic segmentation and the evaluation of the results in the framework of brain tumour are described after a review  More>>
Authors:
Publication Date:
Nov 15, 2004
Product Type:
Thesis/Dissertation
Report Number:
FRNC-TH-7636
Resource Relation:
Other Information: TH: These informatique; Also available from Bibliotheque de l'Universite de Nice-Sophia Antipolis. Section Sciences, Avenue Valrose BP 2053 Parc Valrose, 06101 - Nice CEDEX 2 (France)
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; BIOLOGICAL LOCALIZATION; BRAIN; EYES; IMAGES; OPTIMIZATION; PROSTATE; RADIOTHERAPY; SIMULATION; VOLUME
OSTI ID:
21195090
Research Organizations:
Nice Univ. Sophia Antipolis, 06 (France)
Country of Origin:
France
Language:
French
Other Identifying Numbers:
TRN: FR0900771067608
Availability:
Available from INIS in electronic form
Submitting Site:
FRN
Size:
239 pages
Announcement Date:
Aug 20, 2009

Citation Formats

Bondiau, P Y. Processing and evaluation of image matching tools in radiotherapy; Mise en oeuvre et evaluation d'outils de fusion d'image en radiotherapie. France: N. p., 2004. Web.
Bondiau, P Y. Processing and evaluation of image matching tools in radiotherapy; Mise en oeuvre et evaluation d'outils de fusion d'image en radiotherapie. France.
Bondiau, P Y. 2004. "Processing and evaluation of image matching tools in radiotherapy; Mise en oeuvre et evaluation d'outils de fusion d'image en radiotherapie." France.
@misc{etde_21195090,
title = {Processing and evaluation of image matching tools in radiotherapy; Mise en oeuvre et evaluation d'outils de fusion d'image en radiotherapie}
author = {Bondiau, P Y}
abstractNote = {Cancer is a major problem of public health. Treatment can be done in a general or loco-regional way, in this last case medical images are important as they specify the localization of the tumour. The objective of the radiotherapy is to deliver a curative dose of radiation in the target volume while sparing the organs at risks (O.A.R.). The determination of the accurate localization of the targets volume as well as O.A.R. make it possible to define the ballistic of irradiation beams. After the description of the principles of radiotherapy and cancers treatment, we specify the clinical stakes of ocular, cerebral and prostatic tumours. We present a state of the art of image matching, the various techniques reviewed with an aim of being didactic with respect to the medical community. The results of matching are presented within the framework of the planning of the cerebral and prostatic radiotherapy in order to specify the types of applicable matching in oncology and more particularly in radiotherapy. Then, we present the prospects for this type of application according to various anatomical areas. Applications of automatic segmentation and the evaluation of the results in the framework of brain tumour are described after a review of the various segmentation methods according to anatomical localizations. We will see an original application: the digital simulation of the virtual tumoral growth and the comparison with the real growth of a cerebral tumour presented by a patient. Lastly, we will expose the future developments possible of the tools for image processing in radiotherapy as well as the tracks of research to be explored in oncology. (author)}
place = {France}
year = {2004}
month = {Nov}
}