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David Lloret. (2002). Medical Image Registration Based on a Creaseress Measure. (Joan Serrat, Ed.). Ph.D. thesis, , .
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Agnes Borras. (2002). High-Level Clothes Description Based on Colour-Texture Features..
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David Rotger. (2002). Multimodal Registration of Intravascular Ultrasound Images and Angiography.
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Francesc Tous. (2002). Study of Colour Normalisation for Skin Detection..
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Antonio Lopez, W. Niessen, Joan Serrat, K. Nicolay, Bart M. Ter Haar Romeny, Juan J. Villanueva, et al. (2000). New improvements in the multiscale analysis of trabecular bone patterns..
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X. Varona, A. Pujol, & Juan J. Villanueva. (2000). Visual Tracking in Application Domains..
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A. Martinez, & Jordi Vitria. (2000). Learning mixture models using a genetic version of the EM algorithm. PRL - Pattern Recognition Letters, 21(8), 759–769.
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Daniel Ponsa, A.F. Sole, Antonio Lopez, Cristina Cañero, Petia Radeva, & Jordi Vitria. (2000). Regularized EM..
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X. Binefa, J.M. Sanchez, Petia Radeva, & Jordi Vitria. (2000). Linking Visual Cues and Semantic Terms Under Specific Digital Video Domains..
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M. Bressan, David Guillamet, & Jordi Vitria. (2000). Using an ICA representation of local color histograms for object recognition..
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Ricardo Toledo, X. Orriols, X. Binefa, Petia Radeva, Jordi Vitria, & Juan J. Villanueva. (2000). Tracking Elongated Structures using Statistical Snakes..
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X. Varona, Jordi Gonzalez, Xavier Roca, & Juan J. Villanueva. (2003). Appearance Tracking for Video Surveillance.
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Jordi Gonzalez, X. Varona, Xavier Roca, & Juan J. Villanueva. (2003). Automatic Keyframing of Human Actions for Computer Animation.
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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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