V. Chapaprieta. (2000). Reconocimiento de caracteres manuscritos mediante modelos de distribucion de puntos (PDM).
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G. Tortajada. (2000). Extraccio interactiva de patrocinadors d’anuncis en revistes utilitzant tecniques de Visio per Computador.
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S. Casanovas. (2000). Seguiment de moviment articulat mitjançant flux òptic i metodes estocastics.
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M. Pros. (2000). Indexacio icònica amb 2D-String per al reconoixement de persones segons la seva vestimenta.
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Alex Caralps. (2000). Estudi de viabilitat per la inspeccio automatica de cintes elastiques amb silicona.
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C. Padres. (2000). Aplicaciones al modelo de formas activas para un entorno aumentado.
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E. Ceron. (2000). Programacion visual de tareas de pick and place: modulo de vision 3D.
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M. Bressan. (2000). Independent modes of variation in Point Distribution models.
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Gemma Sanchez, Josep Llados, & K. Tombre. (2000). A mean string algorithm to compute the average among a set of 2D shapes.
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J. Mauri, E Fernandez-Nofrerias, E. Esplugas, A. Cequier, David Rotger, Ricardo Toledo, et al. (2000). Ecografia Intracoronaria: Navegacion Informatica por el cubo de datos de las imagenes..
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Jordi Gonzalez. (1999). Action recognition in application domains.
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Javier Varona, Jordi Gonzalez, Xavier Roca, & Juan J. Villanueva. (2003). Appearance Tracking for Video Surveillance.
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Albert Andaluz. (2009). LV Contour Segmentation in TMR images using Semantic Description of Tissue and Prior Knowledge Correction (Vol. 142). Master's thesis, , Bellaterra 08193, Barcelona, Spain.
Abstract: The Diagnosis of Left Ventricle (LV) pathologies is related to regional wall motion analysis. Health indicator scores such as the rotation and the torsion are useful for the diagnose of the Left Ventricle (LV) function. However, this requires proper identification of LV segments. On one hand, manual segmentation is robust, but it is slow and requires medical expertise. On the other hand, the tag pattern in Tagged Magnetic Resonance (TMR) sequences is a problem for the automatic segmentation of the LV boundaries. Consequently, we propose a method based in the classical formulation of parametric Snakes, combined with Active Shape models. Our semantic definition of the LV is tagged tissue that experiences motion in the systolic cycle. This defines two energy potentials for the Snake convergence. Additionally, the mean shape corrects excessive deviation from the anatomical shape. We have validated our approach in 15 healthy volunteers and two short axis cuts. In this way, we have compared the automatic segmentations to manual shapes outlined by medical experts. Also, we have explored the accuracy of clinical scores computed using automatic contours. The results show minor divergence in the approximation and the manual segmentations as well as robust computation of clinical scores in all cases. From this we conclude that the proposed method is a promising support tool for clinical analysis.
Keywords: Active Contour Models; Snakes; Active Shape Models; Deformable Templates; Left Ventricle Segmentation; Generalized Orthogonal Procrustes Analysis; Harmonic Phase Flow; Principal Component Analysis; Tagged Magnetic Resonance
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Jordi Gonzalez. (2004). Human Sequence Evaluation: the Key-frame Approach (Xavier Roca, & Javier Varona, Eds.). Ph.D. thesis, , .
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Jaume Amores, & Petia Radeva. (2003). Non-rigid Registration of Vessel Structures in IVUS Images.
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