| Records |
| Author |
Carles Sanchez;F. Javier Sanchez; Antoni Rosell; Debora Gil |
| Title |
An illumination model of the trachea appearance in videobronchoscopy images |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Image Analysis and Recognition |
Abbreviated Journal |
LNCS |
| Volume |
7325 |
Issue |
|
Pages |
313-320 |
| Keywords |
Bronchoscopy, tracheal ring, stenosis assesment, trachea appearance model, segmentation |
| Abstract |
Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways. This imaging modality provides realistic images and allows non-invasive minimal intervention procedures. Tracheal procedures are routinary interventions that require assessment of the percentage of obstructed pathway for injury (stenosis) detection. Visual assessment in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error.
This paper introduces an automatic method for the estimation of steneosed trachea percentage reduction in videobronchoscopic images. We look for tracheal rings , whose deformation determines the degree of obstruction. For ring extraction , we present a ring detector based on an illumination and appearance model. This model allows us to parametrise the ring detection. Finally, we can infer optimal estimation parameters for any video resolution. |
| Address |
Aveiro, Portugal |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
Lecture Notes in Computer Science |
Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
|
Edition |
|
| ISSN |
0302-9743 |
ISBN |
978-3-642-31297-7 |
Medium |
|
| Area |
800 |
Expedition |
|
Conference |
ICIAR |
Notes  |
MV;IAM |
Approved |
no |
| Call Number |
IAM @ iam @ SSR2012 |
Serial |
1898 |
| Permanent link to this record |
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| |
| Author |
Joan M. Nuñez |
| Title |
Computer vision techniques for characterization of finger joints in X-ray image |
Type |
Report |
| Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
|
| Volume |
165 |
Issue |
|
Pages |
|
| Keywords |
Rheumatoid arthritis, X-ray, Sharp Van der Heijde, joint characterization, sclerosis detection, bone detection, edge, ridge |
| 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 |
| Address |
Bellaterra (Barcelona) |
| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
|
Place of Publication |
|
Editor |
Dr. Fernando Vilariño and Dra. Debora Gil |
| Language |
|
Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MV;IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ Nuñ2011 |
Serial |
1795 |
| Permanent link to this record |
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| |
| Author |
Fernando Vilariño; Debora Gil; Petia Radeva |
| Title |
A Novel FLDA Formulation for Numerical Stability Analysis |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
Abbreviated Journal |
|
| Volume |
113 |
Issue |
|
Pages |
77-84 |
| Keywords |
Supervised Learning; Linear Discriminant Analysis; Numerical Stability; Computer Vision |
| Abstract |
Fisher Linear Discriminant Analysis (FLDA) is one of the most popular techniques used in classification applying dimensional reduction. The numerical scheme involves the inversion of the within-class scatter matrix, which makes FLDA potentially ill-conditioned when it becomes singular. In this paper we present a novel explicit formulation of FLDA in terms of the eccentricity ratio and eigenvector orientations of the within-class scatter matrix. An analysis of this function will characterize those situations where FLDA response is not reliable because of numerical instability. This can solve common situations of poor classification performance in computer vision. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
IOS Press |
Place of Publication |
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Editor |
J. Vitrià, P. Radeva and I. Aguiló |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
|
ISBN |
978-1-58603-466-5 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MV;IAM;MILAB;SIAI |
Approved |
no |
| Call Number |
IAM @ iam @ VGR2004 |
Serial |
1663 |
| Permanent link to this record |
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| |
| Author |
Fernando Vilariño; Petia Radeva |
| Title |
Patch-Optimized Discriminant Active Contours for Medical Image Segmentation. |
Type |
Conference Article |
| Year |
2002 |
Publication |
Iberoamerican Conference on Artificial Intelligence |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
Sevilla, Espanya |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Verlag |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
IBERAMIA |
| Notes |
MV;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ ViR2002; IAM @ iam @ VRa2003 |
Serial |
320 |
| Permanent link to this record |
| |
|
| |
| Author |
Fernando Vilariño; Petia Radeva |
| Title |
Cardiac Segmentation with Discriminant Active Contours |
Type |
Book Chapter |
| Year |
2003 |
Publication |
|
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
211–217 |
| Keywords |
|
| Abstract |
Dynamic tracking of heart moving is one relevant target in medical imag- ing and can be helpful for analyzing heart dynamics in the study of several cardiac diseases. For this aim, a previous segmentation problem of such structures is stated, based on certain relevant features (like edges or intensity levels, textures, etc.) Clas- sical active models have been used, but they fail when overlapping structures or not well-defined contours are present. Automatic feature learning systems may be a pow- erful tool. Discriminant active contours present optimal results in this kind of problem. They are a kind of deformable models that converge to an optimal object segmenta- tion that dynamically adapts to the object contour. The feature space is designed from a filter bank in order to guarantee the search and learning of the set of relevant fea- tures for optimal classification on each part of the object. Tracking of target evolution is obtained through the whole set of images, using information from the actual and previous stages. Feedback systems are implemented to guarantee the minimum well- separable classification set in each segmentation step. Our implementation has been proved with several series of Magnetic Resonance with improved results in segmenta- tion in comparison to previous methods. |
| Address |
Palma de Mallorca |
| Corporate Author |
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Thesis |
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| Publisher |
IOS Press |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
CCIA |
| Notes |
MV;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ ViR2003; IAM @ iam @ VRa2003 |
Serial |
426 |
| Permanent link to this record |
| |
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| |
| Author |
F. Javier Sanchez; Jordi Vitria |
| Title |
ViLi + : Extended Lisp for image Processing and Computer Vision. |
Type |
Conference Article |
| Year |
1994 |
Publication |
Progress in Image Analysis and Processing III |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
World Scientific |
Place of Publication |
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Editor |
S.Impedovo |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
981-02-1552-5 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MV;OR |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ SaV1994; IAM @ iam @ SaV1994 |
Serial |
114 |
| Permanent link to this record |
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| |
| Author |
F.X. Perez; F. Javier Sanchez; Xavier Binefa; Xavier Roca; Jordi Vitria; Juan J. Villanueva |
| Title |
A mathematical morphology-based system for IC´s inspection and analysis. |
Type |
Conference Article |
| Year |
1993 |
Publication |
Institute of Physics Conferences Series |
Abbreviated Journal |
|
| Volume |
135 |
Issue |
10 |
Pages |
381–384 |
| Keywords |
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| Abstract |
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| Address |
Bristol |
| Corporate Author |
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Thesis |
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| Publisher |
Institute of Physics |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MV;OR;ISE |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ PSB1993; IAM @ iam @ PSB1993 |
Serial |
150 |
| Permanent link to this record |
| |
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| |
| Author |
X. Binefa; F. Javier Sanchez; F.X. Perez; Xavier Roca; Jordi Vitria; Juan J. Villanueva |
| Title |
Using defocus in optical inspection of integrated circuits |
Type |
Conference Article |
| Year |
1993 |
Publication |
Institute of Physics Conferences Series |
Abbreviated Journal |
|
| Volume |
135 |
Issue |
10 |
Pages |
389-392 |
| Keywords |
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| Abstract |
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| Address |
Bristol |
| Corporate Author |
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Thesis |
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| Publisher |
Institute of Physics |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MV;OR;ISE |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ BSP1993; IAM @ iam @ BSP1993 |
Serial |
151 |
| Permanent link to this record |
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| |
| Author |
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
| Title |
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions |
Type |
Book Chapter |
| Year |
2006 |
Publication |
9th International Conference on Medical Image Computing and Computer–Assisted Intervention |
Abbreviated Journal |
|
| Volume |
4191 |
Issue |
|
Pages |
161–168 |
| Keywords |
|
| Abstract |
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of con- tractions and to analyze the intestine motility. Feature extraction is es- sential for getting efficient patterns to detect contractions in wireless video endoscopy of small intestine. We propose a novel method based on anisotropic image filtering and efficient statistical classification of con- traction features. In particular, we apply the image gradient tensor for mining informative skeletons from the original image and a sequence of descriptors for capturing the characteristic pattern of contractions. Fea- tures extracted from the endoluminal images were evaluated in terms of their discriminatory ability in correct classifying images as either belong- ing to contractions or not. Classification was performed by means of a support vector machine classifier with a radial basis function kernel. Our classification rates gave sensitivity of the order of 90.84% and specificity of the order of 94.43% respectively. These preliminary results highlight the high efficiency of the selected descriptors and support the feasibility of the proposed method in assisting the automatic detection and analysis of contractions. |
| Address |
Copenhagen (Denmark) |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
R. Larsen, M. Nielsen, and J. Sporring |
| Language |
|
Summary Language |
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Original Title |
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| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
800 |
Expedition |
|
Conference |
MICCAI06 |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ SVV2006; IAM @ iam @ SVV2006 |
Serial |
725 |
| Permanent link to this record |
| |
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| |
| Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
| Title |
Cascade analysis for intestinal contraction detection |
Type |
Conference Article |
| Year |
2006 |
Publication |
20th International Congress and exhibition Computer Assisted Radiology and Surgery |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
9-10 |
| Keywords |
intestine video analysis, anisotropic features, support vector machine, cascade of classifiers |
| Abstract |
In this work, we address the study of intestinal contractions in a novel approach based on a machine learning framework to process data from Wireless Capsule Video Endoscopy. Wireless endoscopy represents a unique way to visualize the intestine motility by creating long videos to visualize intestine dynamics. In this paper we argue that to analyze huge amount of wireless endoscopy data and define robust methods for contraction detection we should base our approach on sophisticated machine learning techniques. In particular, we propose a cascade of classifiers in order to remove different physiological phenomenon and obtain the motility pattern of small intestines. Our results show obtaining high specificity and sensitivity rates that highlight the high efficiency of the selected approach and support the feasibility of the proposed methodology in the automatic detection and analysis of intestine contractions. |
| Address |
Osaka (Japan) |
| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
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| Language |
|
Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
|
Edition |
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| ISSN |
|
ISBN |
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Medium |
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| Area |
800 |
Expedition |
|
Conference |
CARS |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VSV2006a; IAM @ iam @ VSV2006h |
Serial |
726 |
| Permanent link to this record |
| |
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| |
| Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
| Title |
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy |
Type |
Conference Article |
| Year |
2006 |
Publication |
18th International Conference on Pattern Recognition |
Abbreviated Journal |
|
| Volume |
4 |
Issue |
|
Pages |
719-722 |
| Keywords |
Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization |
| Abstract |
Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found. |
| Address |
Hong Kong |
| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
|
| ISSN |
1051-4651 |
ISBN |
0-7695-2521-0 |
Medium |
|
| Area |
800 |
Expedition |
|
Conference |
ICPR |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VSV2006b; IAM @ iam @ VSV2006g |
Serial |
727 |
| Permanent link to this record |
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| |
| Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
| Title |
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions |
Type |
Book Chapter |
| Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
|
| Volume |
4225 |
Issue |
|
Pages |
178–187 |
| Keywords |
|
| Abstract |
This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image. We successfully apply our proposal in the specific case of automatic detection of tonic contractions in video capsule endoscopy, which represent a paradigmatic example of linear radial patterns. |
| Address |
Cancun (Mexico) |
| Corporate Author |
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Thesis |
|
| Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
.F. Mart ́ınez-Trinidad et al |
| Language |
|
Summary Language |
|
Original Title |
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| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
| Series Volume |
|
Series Issue |
|
Edition |
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| ISSN |
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ISBN |
|
Medium |
|
| Area |
800 |
Expedition |
|
Conference |
|
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VSV2006c; IAM @ iam @ VSB2006f |
Serial |
728 |
| Permanent link to this record |
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| |
| Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
| Title |
A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment |
Type |
Book Chapter |
| Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
|
| Volume |
4225 |
Issue |
|
Pages |
188–197 |
| Keywords |
|
| Abstract |
Small Bowel Motility Assessment by means of Wireless Capsule Video Endoscopy constitutes a novel clinical methodology in which a capsule with a micro-camera attached to it is swallowed by the patient, emitting a RF signal which is recorded as a video of its trip throughout the gut. In order to overcome the main drawbacks associated with this technique -mainly related to the large amount of visualization time required-, our efforts have been focused on the development of a machine learning system, built up in sequential stages, which provides the specialists with the useful part of the video, rejecting those parts not valid for analysis. We successfully used Self Organized Maps in a general semi-supervised framework with the aim of tackling the different learning stages of our system. The analysis of the diverse types of images and the automatic detection of intestinal contractions is performed under the perspective of intestinal motility assessment in a clinical environment. |
| Address |
Cancun (Mexico) |
| Corporate Author |
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Thesis |
|
| Publisher |
Springer Verlag |
Place of Publication |
Berlin-Heidelberg |
Editor |
J.P. Martinez–Trinidad et al |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
|
ISBN |
|
Medium |
|
| Area |
800 |
Expedition |
|
Conference |
CIARP06 |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VSV2006d; IAM @ iam @ VSV2006e |
Serial |
729 |
| Permanent link to this record |
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| |
| Author |
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Petia Radeva; Fernando Azpiroz; Juan Malagelada |
| Title |
Device, system and method for automatic detection of contractile activity in an image frame |
Type |
Patent |
| Year |
2011 |
Publication |
US 2011/0044515 A1 |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
A device, system and method for automatic detection of contractile activity of a body lumen in an image frame is provided, wherein image frames during contractile activity are captured and/or image frames including contractile activity are automatically detected, such as through pattern recognition and/or feature extraction to trace image frames including contractions, e.g., with wrinkle patterns. A manual procedure of annotation of contractions, e.g. tonic contractions in capsule endoscopy, may consist of the visualization of the whole video by a specialist, and the labeling of the contraction frames. Embodiments of the present invention may be suitable for implementation in an in vivo imaging system. |
| Address |
Pearl Cohen Zedek Latzer, LLP, 1500 Broadway 12th Floor, New York (NY) 10036 (US) |
| Corporate Author |
US Patent Office |
Thesis |
|
| Publisher |
|
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
IAM @ iam @ SVV2011 |
Serial |
1701 |
| Permanent link to this record |
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| Author |
Fernando Vilariño; Panagiota Spyridonos; Petia Radeva; Jordi Vitria; Fernando Azpiroz; Juan Malagelada |
| Title |
Method for automatic classification of in vivo images |
Type |
Patent |
| Year |
2010 |
Publication |
US 2010/0046816 |
Abbreviated Journal |
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| Volume |
|
Issue |
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Pages |
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| Keywords |
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| Abstract |
A method for automatically detecting a post-duodenal boundary in an image stream of the gastrointestinal (GI) tract. The image stream is sampled to obtain a reduced set of images for processing. The reduced set of images is filtered to remove non-valid frames or non-valid portions of frames, thereby generating a filtered set of valid images. A polar representation of the valid images is generated. Textural features of the polar representation are processed to detect the post-duodenal boundary of the GI tract. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
IAM @ iam @ VSR2010 |
Serial |
1702 |
| Permanent link to this record |
