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Author  |
Jaume Garcia |
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Title |
Generalized Active Shape Models Applied to Cardiac Function Analysis |
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Report |
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2004 |
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CVC Technical Report |
Abbreviated Journal |
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78 |
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Cardiac Analysis; Deformable Models; Active Contour Models; Active Shape Models; Tagged MRI; HARP; Contrast Echocardiography. |
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Abstract |
Medical imaging is very useful in the assessment and treatment of many diseases. To deal with the great amount of data provided by imaging scanners and extract quantitative information that physicians can interpret, many analysis algorithms have been developed. Any process of analysis always consists of a first step of segmenting some particular structure. In medical imaging, structures are not always well defined and suffer from noise artifacts thus, ordinary segmentation methods are not well suited. The ones that seem to give better results are those based on deformable models. Nevertheless, despite their capability of mixing image features together with smoothness constraints that may compensate for image irregularities, these are naturally local methods, i. e., each node of the active contour evolve taking into account information about its neighbors and some other weak constraints about flexibility and smoothness, but not about the global shape that they should find. Due to the fact that structures to be segmented are the same for all cases but with some inter and intra-patient variation, the incorporation of a priori knowledge about shape in the segmentation method will provide robustness to it. Active Shape Models is an algorithm based on the creation of a shape model called Point Distribution Model. It performs a segmentation using only shapes similar than those previously learned from a training set that capture most of the variation presented by the structure. This algorithm works by updating shape nodes along a normal segment which often can be too restrictive. For this reason we propose a generalization of this algorithm that we call Generalized Active Shape Models and fully integrates the a priori knowledge given by the Point Distribution Model with deformable models or any other appropriate segmentation method. Two different applications to cardiac imaging of this generalized method are developed and promising results are shown. |
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CVC (UAB) |
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Master's thesis |
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IAM; |
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IAM @ iam @ Gar2004 |
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1513 |
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Author |
Jaume Garcia |
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Title |
Propagacio de fronts per a la segmentacio en imatges IVUS |
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2002 |
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Technical Report |
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65 |
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IAM @ iam @ Gar2002 |
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328 |
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Author |
Jaume Gibert |
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Title |
Learning structural representations and graph matching paradigms in the context of object recognition |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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143 |
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Computer Vision Center |
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Master's thesis |
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Admin @ si @ Gib2009 |
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2397 |
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Author |
Jaume Rodriguez; S. Yacoub; Gemma Sanchez; Josep Llados |
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Title |
Performance Evaluation, Comparison and Combination of Commercial Handwriting Recognition Engines |
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2006 |
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CVC Technical Report #93 |
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DAG @ dag @ RYS2006 |
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657 |
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Author |
Javier Marin |
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Title |
Virtual learning for real testing |
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Report |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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150 |
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Computer Vision Center |
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Master's thesis |
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bell |
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ADAS |
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Admin @ si @ Mar2009c |
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2403 |
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Author |
Javier Varona; Juan J. Villanueva |
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Title |
Neural networks as spatial filters for image processing: Neurofilters |
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1996 |
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Technical Report #07 |
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ISE @ ise @ VaV1996 |
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95 |
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Author |
Javier Vazquez |
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Title |
Content-based Colour Space |
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2007 |
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CVC Technical Report #116 |
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Admin @ si @ Vaz2007b |
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828 |
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Author |
Joan Carbo; A. Martinez; Jordi Vitria |
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Title |
Reconocimiento de caras |
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1996 |
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CVC Technical Report #18 |
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OR;MV |
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BCNPCL @ bcnpcl @ CMV1996 |
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529 |
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Author |
Joan M. Nuñez |
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Title |
Computer vision techniques for characterization of finger joints in X-ray image |
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Report |
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2011 |
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CVC Technical Report |
Abbreviated Journal |
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165 |
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Rheumatoid arthritis, X-ray, Sharp Van der Heijde, joint characterization, sclerosis detection, bone detection, edge, ridge |
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Abstract |
Rheumatoid arthritis (RA) is an autoimmune inflammatory type of arthritis which mainly affects hands on its first stages. Though it is a chronic disease and there is no cure for it, treatments require an accurate assessment of illness evolution. Such assessment is based on evaluation of hand X-ray images by using one of the several available semi-quantitative methods. This task requires highly trained medical personnel. That is why the automation of the assessment would allow professionals to save time and effort. Two stages are involved in this task. Firstly, the joint detection, afterwards, the joint characterization. Unlike the little existing previous work, this contribution clearly separates those two stages and sets the foundations of a modular assessment system focusing on the characterization stage. A hand joint dataset is created and an accurate data analysis is achieved in order to identify relevant features. Since the sclerosis and the lower bone were decided to be the most important features, different computer vision techniques were used in order to develop a detector system for both of them. Joint space width measures are provided and their correlation with Sharp-Van der Heijde is verified |
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Address |
Bellaterra (Barcelona) |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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Dr. Fernando Vilariño and Dra. Debora Gil |
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MV;IAM; |
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IAM @ iam @ Nuñ2011 |
Serial |
1795 |
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Author |
Joan Mas |
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Title |
Syntactic approaches to recognize bi-dimensional shapes in graphics recognition. Application to sketching interfaces |
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2005 |
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CVC Technical Report #86 |
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DAG @ dag @ Mas2005a |
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573 |
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Author |
Joel Barajas |
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Title |
Spectral Rigid Registration of Medical Images: Application to Tagged MRI and IVUS |
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2007 |
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CVC Technical Report #106 |
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Admin @ si @ Bar2007 |
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821 |
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Author |
Jon Almazan |
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Title |
Deforming the Blurred Shape Model for Shape Description and Recognition |
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2010 |
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CVC Technical Report |
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163 |
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Admin @ si @ Alm2010 |
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1354 |
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Jordi Gonzalez |
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Action recognition in application domains |
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1999 |
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CVC Technical Report #13 |
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ISE @ ise @ Gon1999 |
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357 |
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Jordi Vitria |
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Introduccio a la Morfologia Matematica |
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1996 |
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CVC Technical Report #06 |
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BCNPCL @ bcnpcl @ Vit1996b |
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Jordi Vitria; C. Gratin; D. Seron; F. Moreso |
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Morphological image analysis for quantification of renal damage |
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1995 |
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CVC Technical Report #02 |
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OR;MV |
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BCNPCL @ bcnpcl @ VGS1995 |
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117 |
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