Search

Your search keyword '"Concetta Piazzese"' showing total 8 results
Start Over Author "Concetta Piazzese" Publisher elsevier bv
8 results on '"Concetta Piazzese"'

2. Segmentation of the left ventricular endocardium from magnetic resonance images by using different statistical shape models

Author

Enrico G. Caiani, Mark Potse, Roberto M. Lang, Lynn Weinert, Mauro Pepi, Angelo Auricchio, M. Chiara Carminati, Rolf Krause, Gloria Tamborini, Concetta Piazzese, Andrea Colombo, Politecnico di Milano [Milan] (POLIMI), Center for Computational Medicine in Cardiology [Lugano], Università della Svizzera italiana = University of Italian Switzerland (USI), Centro Cardiologico Monzino [Milano], Dpt di Scienze Cliniche e di Comunità [Milano] (DISCCO), Università degli Studi di Milano [Milano] (UNIMI)-Università degli Studi di Milano [Milano] (UNIMI)-Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Modélisation et calculs pour l'électrophysiologie cardiaque (CARMEN), IHU-LIRYC, Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux]-Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux]-Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), University of Chicago, University of Zurich, Piazzese, Concetta, Università degli Studi di Milano = University of Milan (UNIMI)-Università degli Studi di Milano = University of Milan (UNIMI)-Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IHU-LIRYC, and Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux]-CHU Bordeaux [Bordeaux]

Subjects
Male, Models, Anatomic, Computer science, Echocardiography, Three-Dimensional, 030218 nuclear medicine & medical imaging, Ventricular Dysfunction, Left, 0302 clinical medicine, Active shape model, Cardiac MRI, Image segmentation, Left ventricular volume, Statistical shape model, Cardiology and Cardiovascular Medicine, Segmentation, medicine.diagnostic_test, Cardiac cycle, Models, Cardiovascular, Middle Aged, medicine.anatomical_structure, Echocardiography, Principal component analysis, cardiovascular system, Cardiology, Female, medicine.medical_specialty, Magnetic Resonance Imaging, Cine, 610 Medicine & health, Sensitivity and Specificity, 11171 Cardiocentro Ticino, 2705 Cardiology and Cardiovascular Medicine, 03 medical and health sciences, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Internal medicine, medicine, Humans, Computer Simulation, Endocardium, Models, Statistical, business.industry, Reproducibility of Results, Magnetic resonance imaging, Pattern recognition, Ventricle, Subtraction Technique, Artificial intelligence, business, 030217 neurology & neurosurgery
Abstract

International audience; We evaluate in this paper different strategies for the construction of a statistical shape model (SSM) of the left ventricle (LV) to be used for segmentation in cardiac magnetic resonance (CMR) images. From a large database of LV surfaces obtained throughout the cardiac cycle from 3D echocardiographic (3DE) LV images, different LV shape models were built by varying the considered phase in the cardiac cycle and the registration procedure employed for surface alignment. Principal component analysis was computed to describe the statistical variability of the SSMs, which were then deformed by applying an active shape model (ASM) approach to segment the LV endocardium in CMR images of 45 patients. Segmentation performance was evaluated by comparing LV volumes derived by ASM segmentation with different SSMs and those obtained by manual tracing, considered as a reference. A high correlation (r2 > 0.92) was found in all cases, with better results when using the SSM models comprising more than one frame of the cardiac cycle.

Published
2016
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results