Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/47291
Title: Análisis y optimización de un algoritmo de segmentación de lumen en IVUS: estudio cuantitativo e implementación
Author: Manzano Marcos, Emilio
Director: Balocco, Simone
Ciompi, Francesco
Keywords: Processament d'imatges
Imatges mèdiques
Tesis
Programari
Informàtica mèdica
Image processing
Imaging systems in medicine
Computer software
Theses
Medical informatics
Issue Date: 20-Jun-2013
Abstract: Coronary heart disease is the leading cause of mortality and obesity in developed countries, luckily in recent decades have developed various forms of medical imaging extraction useful for diagnosis and monitoring of patients with these problems. IVUS images are the most important in this field since they allow observing the arteries from the inside and take useful measures for the treatment of the disease. To assist doctors work an automatic lumen area segmentation system is being developed, which is the area where the blood flows in the arteries. In this paper we try to study its performance and try to optimize this system to bring it a little more accurate segmentation to be useful in medical practice.
Note: Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2013, Director: Simone Balocco i Francesco Ciompi
URI: http://hdl.handle.net/2445/47291
Appears in Collections:Treballs Finals de Grau (TFG) - Enginyeria Informàtica

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