Authors:
Josef Schreiber
1
;
Eduard Sojka
1
;
Lačezar Ličev
1
;
Petra Škňourilová
1
;
Jan Gaura
1
and
David Školoudík
2
Affiliations:
1
VšB - Technical University of Ostrava, Czech Republic
;
2
Neurological clinic, Faculty Hospital in Ostrava-Poruba, Czech Republic
Keyword(s):
Ultrasound images, brain stem, detection, noise, speckle, Parkinson’s disease, object recognition.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
Abstract:
Transcranial sonography is to date the only method able to detect structural damage of the brain tissue in the Parkinson’s disease patients. The problem is that the images provided by this method often suffer from a very poor quality, which makes the final diagnosis strongly dependent on experience of examinating medical doctor. Our objective is to create a method that should help to minimize the physician’s subjectivity in the final diagnosis and should provide more exact information about the processed ultrasound images. The method itself is divided into two phases. In the first one, we try to locate the position of a minimal window containingthe brain stem in the analyzed image. In the second phase, we locate and measure the echogenic substantia nigra area.