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Author |
Dani Rowe |
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Title |
Probabilistic Image-based Tracking in Complex Human Environments |
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Report |
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2005 |
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CVC Technical Report #92 |
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no |
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Admin @ si @ Row2005 |
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601 |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
A Robust Particle Filter-based Face Tracker Using a Combination of Color and Geometric Information |
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2005 |
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CVC Technical Report #90 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ RaV2005c |
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617 |
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Author |
Aura Hernandez-Sabate |
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Title |
Automatic adventitia segmentation in IntraVascular UltraSound images |
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Report |
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Year |
2005 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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85 |
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A usual tool in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of lumen-intima, intima-media and media-adventitia vessel borders is the main activity of physicians in the process of plaque quantification. Large variety in vessel border descriptors, as well as, shades, artifacts and blurred response due to ultrasound physical properties troubles automated media-adventitia segmentation. This experimental work presents a solution to such a complex problem. The process blends advanced anisotropic filtering operators and statistic classification techniques, achieving an efficient vessel border modelling strategy. First of all, we introduce the theoretic base of the method. After that, we show the steps of the algorithm, validating the method with statistics that show that the media-adventitia border detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders. Finally, we present a little Matlab application to the automatic media-adventitia border. |
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Master's thesis |
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08193 Bellaterra, Barcelona (Spain) |
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IAM; |
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IAM @ iam @ Her2005 |
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1544 |
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Author |
Aura Hernandez-Sabate; Debora Gil; Petia Radeva |
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Title |
A Deterministic-Statistical Strategy for Adventitia Segmentation in IVUS images |
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Report |
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2005 |
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CVC Technical Report |
Abbreviated Journal |
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89 |
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A useful tool for some specific studies in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of luminal (inner) and media-adventitia (external) vessel borders is the main activity of physicians in the process of lumen narrowing (plaque) quantification. Difficult definition of vessel border descriptors, as well as, shades, artifacts and blurred signal response due to ultrasound physical properties troubles automated adventitia segmentation. In order to efficiently approach such a complex problem, we propose blending advanced anisotropic filtering operators and statistical classification techniques into a vessel border modelling strategy. Our systematic statistical analysis shows that the reported adventitia detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders. |
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IAM; MILAB |
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no |
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Call Number |
IAM @ iam @ HGR2005a |
Serial |
1548 |
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Author |
Eric Amiel |
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Title |
Visualisation de vaisseaux sanguins |
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Report |
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Year |
2005 |
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Rapport de Stage |
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Université Paul Sabatier Toulouse III |
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Bachelor's thesis |
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Université Paul Sabatier Toulouse III |
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Toulouse |
Editor |
Enric Marti |
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French |
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French |
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IUP Systèmes Intelligents |
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IAM |
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no |
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IAM @ iam @ Ami2005 |
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1690 |
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Author |
Carme Julia |
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Title |
Motion segmentation through factorization. Application to night driving assistance |
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Report |
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Year |
2004 |
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CVC Technical Report #79 |
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no |
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Call Number |
Admin @ si @ 38169 |
Serial |
506 |
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Author |
Raul Chaves |
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Title |
Sistema de identificacion mediante huellas dactilares |
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Report |
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2004 |
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CVC Technical Report #81 |
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Admin @ si @ Cha2004 |
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507 |
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Author |
Oriol Martinez |
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Title |
Semantic Retrieval of Memory Color Content |
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Report |
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Year |
2004 |
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CVC Technical Report #80 |
Abbreviated Journal |
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CVC (UAB) |
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Admin @ si @ 38047 |
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508 |
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Author |
Jaume Amores; Petia Radeva |
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Title |
Registration and retrieval of medical images. Application to IVUS |
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2004 |
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CVC Technical Report #77 |
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CVC (UAB) |
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MILAB |
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no |
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ADAS @ adas @ AmR2004 |
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513 |
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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 |
Publication |
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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no |
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IAM @ iam @ Gar2004 |
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1513 |
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Author |
Oriol Ramos Terrades |
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Title |
Descripcio i classificacio de simbols tecnics usant la transformada de crestetes |
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2003 |
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CVC Technical Report #74 |
Abbreviated Journal |
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CVC (UAB) |
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DAG |
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no |
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DAG @ dag @ Ram2003 |
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517 |
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Author |
David Alcalde |
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Image classification in terms of rotation-invariant pattern matching |
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2003 |
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CVC Technical Report #73 |
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CVC (UAB) |
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no |
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Admin @ si @ Alc2003 |
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518 |
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Author |
David Masip |
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Dimensionality reduction techniques applied to nearest neighbor classification |
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2003 |
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CVC Technical Report #72 |
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OR;MV |
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Admin @ si @ Mas2003 |
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519 |
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Author |
Misael Rosales; Petia Radeva |
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Empirical simulation model of intravascular ultrasound |
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2003 |
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CVC Technical Report #71 |
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MILAB |
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BCNPCL @ bcnpcl @ RoR2003 |
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520 |
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Author |
Debora Gil; Petia Radeva |
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Title |
Curvature based Distance Maps |
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2003 |
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CVC Technical Report |
Abbreviated Journal |
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70 |
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Computer Vision Center |
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IAM;MILAB |
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IAM @ iam @ GIR2003a |
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1534 |
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