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The aim of this project is to develop a system making it possible to detect and establish a
quantification pattern for the effect of coronary stenosis. In doing so it was first necessary to
set up a PACS (Picture Archiving and Communication System) developed ad hoc by the
research team for the Hemodynamics Service of the Juan Canalejo University Hospital
Complex in A Coruña, Spain, in order to be able to acquire and treat the angiography studies.
In this project, a system is being developed to help with the decision made by arterial models
for patients, using image segmenting techniques and arterial labelling. Afterwards, algorithms
are applied for detecting stenosis in the arterial tree. The precise quantification of this ratio
makes it possible to make a much more precise diagnosis, avoiding having to carry out
additional tests on the patient, with the subsequent saving of hospital resources.
Keywords: Angiography, Digital Image, Stenosis, Digital Image Processing, Digital Medical
Images, PACS
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.: SABIA :. Sistemas Adaptativos y Bioinspirados en Inteligencia Artificial