Image Processing Applied to Doppler Vascular Ultrasonography - Assistance to Carotid Examination Procedures - Abstract
This work proposes to integrate engineering and medicine, seeking to assist in color-Doppler vascular ultrasonography, to determine the carotid occlusion percentual (carotid stenosis). The project consists in the development of software which aims to assist the examiner during or after the procedures, employing artificial neural network and image processing resources, such as filtering, contours detection, and character recognizing to extract the relevant data, obtain the diagnosis and be able to automatically generate a medical report with the results. The software acts in diagnosis failures prevention, assisting to make the exam more accurate and less exposed to human mistakes that may invalidate the exam results.