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Please use this identifier to cite or link to this item: http://hdl.handle.net/2099.1/8359

Title: 4D Cardiac Segmentation and Respiratory Motion Modeling of the Human Heart
Authors: Crosas Cano, Guillem
Other authors: Alarcón Cot, Eduard
Keywords: Àrees temàtiques de la UPC::Enginyeria electrònica i telecomunicacions::Electrònica biomèdica
Àrees temàtiques de la UPC::Enginyeria electrònica i telecomunicacions::Processament del senyal::Processament de la imatge i del senyal vídeo
Heart -- Diseases
Image processing
Heart motion
Respiratory motion
Cardiac segmentation
Biomedicina
Cor
Respiració
Imatges -- Processament
Cor -- Malalties
Publisher: Universitat Politècnica de Catalunya
Abstract: Projecte final de carrera realitzat en col.laboració amb el centre Northeastern University
Atrial Fibrillation (AF) is a growing problem in modern societies with an enormous impact in both shortterm quality of life and long term survival. A recently developed promising approach to cure AF usesradiofrequency (RF) ablation to carry out Pulmonary Vein Antrum Isolation (PVAI) to the heart. However,the lack of proper 3D surgery training, planning, and guidance makes surgery a very difficult task to thesurgeons and therefore the risk for the patient increases.Some work has been done developing automatic methods to segment and track the beating movementof the heart, but the purpose of this work is to add the respiratory motion to the existent models.The reconstructed heart surface will serve as a virtual computer model for the 3D surgery training, planning and guidance.
Appears in Collections:Tesines i projectes i treballs de final de carrera

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