| Records |
| Author |
Albert Andaluz |
| Title |
LV Contour Segmentation in TMR images using Semantic Description of Tissue and Prior Knowledge Correction |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
142 |
Issue |
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| 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 |
| 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. |
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Master's thesis |
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Bellaterra 08193, Barcelona, Spain |
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IAM; |
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no |
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IAM @ iam @ And2009 |
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1667 |
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| Author |
Antonio Lopez; Felipe Lumbreras; Joan Serrat |
| Title |
Efficient computation of local creaseness |
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Report |
| Year |
1997 |
Publication |
CVC Technical Report |
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Issue |
15 |
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CVC, Bellaterra (Spain) |
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ADAS |
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no |
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ADAS @ adas @ LLS1997b |
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527 |
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| Author |
Mohammad Rouhani |
| Title |
3D Data Fitting and Tracking for Real Time Applications |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
138 |
Issue |
138 |
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Barcelona, Spain |
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Master's thesis |
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invisible;ADAS |
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no |
| Call Number |
Admin @ si @ Rou2009 |
Serial |
1150 |
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| Author |
Marc Serra |
| Title |
Estimating Intrinsic Images from Physical and Categorical Color Cues |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
151 |
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Master's thesis |
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CIC |
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no |
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Admin @ si @ Ser2010 |
Serial |
1345 |
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| Author |
Ahmed Mounir Gad |
| Title |
Object Localization Enhancement by Multiple Segmentation Fusion |
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Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
152 |
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Master's thesis |
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no |
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Admin @ si @ Mou2010 |
Serial |
1346 |
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| Author |
Antonio Hernandez |
| Title |
Pose and Face Recovery via Spatio-temporal GrabCut Human Segmentation |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
153 |
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Master's thesis |
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| Notes |
HUPBA;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ Her2010 |
Serial |
1347 |
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| Author |
Jorge Bernal; Fernando Vilariño; F. Javier Sanchez |
| Title |
Feature Detectors and Feature Descriptors: Where We Are Now |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
154 |
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| Abstract |
Feature Detection and Feature Description are clearly nowadays topics. Many Computer Vision applications rely on the use of several of these techniques in order to extract the most significant aspects of an image so they can help in some tasks such as image retrieval, image registration, object recognition, object categorization and texture classification, among others. In this paper we define what Feature Detection and Description are and then we present an extensive collection of several methods in order to show the different techniques that are being used right now. The aim of this report is to provide a glimpse of what is being used currently in these fields and to serve as a starting point for future endeavours. |
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800 |
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MV;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ BVS2010; IAM @ iam @ BVS2010 |
Serial |
1348 |
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| Author |
Lluis Pere de las Heras |
| Title |
Syntactic Model for Semantic Document Analysis |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
158 |
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no |
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Admin @ si @ Per2010 |
Serial |
1350 |
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| Author |
Anjan Dutta |
| Title |
Symbol Spotting in Graphical Documents by Serialized Subgraph Matching |
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Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
159 |
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Master's thesis |
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DAG |
Approved |
no |
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Admin @ si @ Dut2010 |
Serial |
1351 |
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| Author |
Ekain Artola |
| Title |
Human Attention Map Prediction Combining Visual Features |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
160 |
Issue |
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Bachelor's thesis |
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no |
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Admin @ si @ Art2010 |
Serial |
1352 |
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| Author |
David Fernandez |
| Title |
Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
161 |
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Master's thesis |
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DAG |
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no |
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Admin @ si @ Fer2010b |
Serial |
1353 |
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| Author |
Jon Almazan |
| Title |
Deforming the Blurred Shape Model for Shape Description and Recognition |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
163 |
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Master's thesis |
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no |
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Admin @ si @ Alm2010 |
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1354 |
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| Author |
Nataliya Shapovalova |
| Title |
On Importance of Interaction and Context |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
155 |
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Master's thesis |
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ISE |
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no |
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Admin @ si @ Sha2010 |
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1355 |
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| Author |
Zhanwu Xiong |
| Title |
A Pompd Model for Active Camera Control |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
156 |
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Master's thesis |
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ISE |
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no |
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Admin @ si @ Xio2010 |
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1356 |
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| Author |
Jaume Garcia |
| Title |
Generalized Active Shape Models Applied to Cardiac Function Analysis |
Type |
Report |
| Year |
2004 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
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Issue |
78 |
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| Keywords |
Cardiac Analysis; Deformable Models; Active Contour Models; Active Shape Models; Tagged MRI; HARP; Contrast Echocardiography. |
| 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 |
Serial |
1513 |
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