Authors:
Dmitriy Dubovitskiy
and
Valeri Kouznetsov
Affiliation:
Oxford Recognition Ltd, United Kingdom
Keyword(s):
Cancer Treatment, In Vivo Dosimetry, Radiation Sensors, Pattern Analysis, Decision Making, Object Recognition, Image Morphology, Computational Geometry.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Equipment
;
Biomedical Instrumentation
;
Biomedical Instruments and Devices
;
Biomedical Sensors
;
Devices
;
Health Monitoring Devices
;
Human-Computer Interaction
;
Imaging and Visualization Devices
;
Physiological Computing Systems
Abstract:
Dosimetry in the process of treatment of cancer tumour by ionising radiation. It is important and sometimes
very challenging due to the fact that it is necessary to measure the radiation dose in vivo on small areas on the
surface of the composite relief. Recently, in order to reduce the radiation dose to healthy tissues and concentration
of the therapeutic effect of radiation directly on the tumour application method of three-dimensional
(3D) irradiation started, in which radiation beams enter the body from different directions concentrating on
the tumour. New methods of treatment correspondingly require more precise and sophisticated methods of
dosimetry. Existing methods of 3D dose measurement are highly labor-intensive and generally suffer from
low accuracy. In this paper, we propose the technical method of 3D measurement of the dose in real-time and
approaches to build volume model of the dose distribution inside the patient’s body using object recognition
technique.