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Author |
Gerard Lacey; Fernando Vilariño |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Endoscopy system with motion sensors |
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Patent |
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Year |
2011 |
Publication |
US 2011/0032347 A1 |
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An endoscopy system (1) comprises an endoscope (2) with a camera (3) at its tip. The endoscope extends through an endoscope guide (4) for guiding movement of the endoscope and for measurement of its movement as it enters the body. The guide (4) comprises a generally conical body (5) having a through passage (105) through which the endoscope (2) extends. A motion sensor comprises an optical transmitter (7) and a detector (8) mounted alongside the passage (105) to measure the insertion-withdrawal linear motion and also rotation of the endoscope by the endoscopist's hand. The system (1) also comprises a flexure controller (10) having wheels operated by the endoscopist. The camera (3), the motion sensor (7/8), and the flexure controller (10) are all connected to a processor (11) which feeds a display. |
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Jacobson Holman PPLC; 400 Seventh Street, N.W. Suite 600; Whashington DC 20004 DC |
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USPTO |
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800 |
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MV;SIAI |
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no |
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IAM @ iam @ LaV2011 |
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1703 |
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Author |
Fernando Vilariño; Stephan Ameling; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Eye Tracking Search Patterns in Expert and Trainee Colonoscopists: A Novel Method of Assessing Endoscopic Competency? |
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Journal Article |
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Year |
2009 |
Publication |
Gastrointestinal Endoscopy |
Abbreviated Journal |
GI |
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Volume |
69 |
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5 |
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370 |
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800 |
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MV;SIAI |
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no |
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fernando @ fernando @ |
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2420 |
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Author |
Jorge Bernal; Fernando Vilariño; F. Javier Sanchez |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Feature Detectors and Feature Descriptors: Where We Are Now |
Type |
Report |
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Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
154 |
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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 |
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no |
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Admin @ si @ BVS2010; IAM @ iam @ BVS2010 |
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1348 |
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Permanent link to this record |
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Author |
Joan M. Nuñez; Debora Gil; Fernando Vilariño |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Finger joint characterization from X-ray images for rheymatoid arthritis assessment |
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Conference Article |
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Year |
2013 |
Publication |
6th International Conference on Biomedical Electronics and Devices |
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Pages |
288-292 |
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Keywords |
Rheumatoid Arthritis; X-Ray; Hand Joint; Sclerosis; Sharp Van der Heijde |
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Abstract |
In this study we propose amodular systemfor automatic rheumatoid arthritis assessment which provides a joint space width measure. A hand joint model is proposed based on the accurate analysis of a X-ray finger joint image sample set. This model shows that the sclerosis and the lower bone are the main necessary features in order to perform a proper finger joint characterization. We propose sclerosis and lower bone detection methods as well as the experimental setup necessary for its performance assessment. Our characterization is used to propose and compute a joint space width score which is shown to be related to the different degrees of arthritis. This assertion is verified by comparing our proposed score with Sharp Van der Heijde score, confirming that the lower our score is the more advanced is the patient affection. |
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Barcelona; February 2013 |
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SciTePress |
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800 |
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BIODEVICES |
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IAM;MV; 600.057; 600.054;SIAI |
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no |
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IAM @ iam @ NGV2013 |
Serial |
2196 |
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Author |
Farhan Riaz; Fernando Vilariño; Mario Dinis-Ribeiro; Miguel Coimbraln |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Identifying Potentially Cancerous Tissues in Chromoendoscopy Images |
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Conference Article |
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Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
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Pages |
709-716 |
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Keywords |
Endoscopy, Computer Assisted Diagnosis, Gradient. |
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Abstract |
The dynamics of image acquisition conditions for gastroenterology imaging scenarios pose novel challenges for automatic computer assisted decision systems. Such systems should have the ability to mimic the tissue characterization of the physicians. In this paper, our objective is to compare some feature extraction methods to classify a Chromoendoscopy image into two different classes: Normal and Potentially cancerous. Results show that LoG filters generally give best classification accuracy among the other feature extraction methods considered. |
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Las Palmas de Gran Canaria. Spain |
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Springer |
Place of Publication |
Berlin |
Editor |
J. Vitria, J.M. Sanches, and M. Hernandez |
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LNCS |
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978-3-642-21256-7 |
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800 |
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IbPRIA |
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Notes |
MV;SIAI |
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no |
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Call Number |
Admin @ si @ RVD2011; IAM @ iam @ RVD2011 |
Serial |
1726 |
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Permanent link to this record |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Impact of Image Preprocessing Methods on Polyp Localization in Colonoscopy Frames |
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Conference Article |
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Year |
2013 |
Publication |
35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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7350 - 7354 |
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In this paper we present our image preprocessing methods as a key part of our automatic polyp localization scheme. These methods are used to assess the impact of different endoluminal scene elements when characterizing polyps. More precisely we tackle the influence of specular highlights, blood vessels and black mask surrounding the scene. Experimental results prove that the appropriate handling of these elements leads to a great improvement in polyp localization results. |
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Osaka; Japan; July 2013 |
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1557-170X |
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800 |
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EMBC |
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Notes |
MV; 600.047; 600.060;SIAI |
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no |
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Admin @ si @ BSV2013 |
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2286 |
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Permanent link to this record |
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Author |
Rozenn Dhayot; Fernando Vilariño; Gerard Lacey |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Improving the Quality of Color Colonoscopy Videos |
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Journal Article |
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Year |
2008 |
Publication |
EURASIP Journal on Image and Video Processing |
Abbreviated Journal |
EURASIP JIVP |
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Volume |
139429 |
Issue |
1 |
Pages |
1-9 |
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800 |
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MV;SIAI |
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no |
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Call Number |
fernando @ fernando @ |
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2422 |
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Permanent link to this record |
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Author |
Mirko Arnold; Anarta Ghosh; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Indistinct frame detection in colonoscopy videos |
Type |
Conference Article |
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Year |
2009 |
Publication |
Machine Vision and Image Processing Conference |
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47-52 |
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MV |
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no |
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fernando @ fernando @ |
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2424 |
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Permanent link to this record |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Integration of Valley Orientation Distribution for Polyp Region Identification in Colonoscopy |
Type |
Conference Article |
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Year |
2011 |
Publication |
In MICCAI 2011 Workshop on Computational and Clinical Applications in Abdominal Imaging |
Abbreviated Journal |
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Volume |
6668 |
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Pages |
76-83 |
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Abstract |
This work presents a region descriptor based on the integration of the information that the depth of valleys image provides. The depth of valleys image is based on the presence of intensity valleys around polyps due to the image acquisition. Our proposed method consists of defining, for each point, a series of radial sectors around it and then accumulates the maxima of the depth of valleys image only if the orientation of the intensity valley coincides with the orientation of the sector above. We apply our descriptor to a prior segmentation of the images and we present promising results on polyp detection, outperforming other approaches that also integrate depth of valleys information. |
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Toronto, Canada |
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Springer Link |
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Lecture Notes in Computer Science |
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800 |
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ABI |
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MV;SIAI |
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no |
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IAM @ iam @ BSV2011d |
Serial |
1698 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Fosca De Iorio; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions |
Type |
Journal Article |
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Year |
2010 |
Publication |
IEEE Transactions on Medical Imaging |
Abbreviated Journal |
TMI |
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Volume |
29 |
Issue |
2 |
Pages |
246-259 |
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Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions shown in a video provided by an ingestible capsule with a wireless micro-camera. The manual labeling of all the motility events requires large amount of time for offline screening in search of findings with low prevalence, which turns this procedure currently unpractical. In this paper, we propose a machine learning system to automatically detect the phasic intestinal contractions in video capsule endoscopy, driving a useful but not feasible clinical routine into a feasible clinical procedure. Our proposal is based on a sequential design which involves the analysis of textural, color, and blob features together with SVM classifiers. Our approach tackles the reduction of the imbalance rate of data and allows the inclusion of domain knowledge as new stages in the cascade. We present a detailed analysis, both in a quantitative and a qualitative way, by providing several measures of performance and the assessment study of interobserver variability. Our system performs at 70% of sensitivity for individual detection, whilst obtaining equivalent patterns to those of the experts for density of contractions. |
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IEEE |
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ISSN |
0278-0062 |
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800 |
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MILAB;MV;OR;SIAI |
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no |
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BCNPCL @ bcnpcl @ VSD2010; IAM @ iam @ VSI2010 |
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1281 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions |
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Book Chapter |
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Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
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Volume |
4225 |
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178–187 |
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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. |
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Address |
Cancun (Mexico) |
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Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
.F. Mart ́ınez-Trinidad et al |
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LNCS |
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800 |
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MV;OR;MILAB;SIAI |
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no |
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BCNPCL @ bcnpcl @ VSV2006c; IAM @ iam @ VSB2006f |
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728 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Petia Radeva; Jordi Vitria; Fernando Azpiroz; Juan Malagelada |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Method for automatic classification of in vivo images |
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Patent |
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Year |
2010 |
Publication |
US 2010/0046816 |
Abbreviated Journal |
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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. |
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800 |
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MV;OR;MILAB;SIAI |
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no |
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IAM @ iam @ VSR2010 |
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1702 |
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Permanent link to this record |
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Author |
Carles Sanchez; Jorge Bernal; Debora Gil; F. Javier Sanchez |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
On-line lumen centre detection in gastrointestinal and respiratory endoscopy |
Type |
Conference Article |
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Year |
2013 |
Publication |
Second International Workshop Clinical Image-Based Procedures |
Abbreviated Journal |
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Volume |
8361 |
Issue |
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Pages |
31-38 |
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Lumen centre detection; Bronchoscopy; Colonoscopy |
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Abstract |
We present in this paper a novel lumen centre detection for gastrointestinal and respiratory endoscopic images. The proposed method is based on the appearance and geometry of the lumen, which we defined as the darkest image region which centre is a hub of image gradients. Experimental results validated on the first public annotated gastro-respiratory database prove the reliability of the method for a wide range of images (with precision over 95 %). |
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Address |
Nagoya; Japan; September 2013 |
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Springer International Publishing |
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Editor |
Erdt, Marius and Linguraru, Marius George and Oyarzun Laura, Cristina and Shekhar, Raj and Wesarg, Stefan and González Ballester, Miguel Angel and Drechsler, Klaus |
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LNCS |
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978-3-319-05665-4 |
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800 |
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CLIP |
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Notes |
MV; IAM; 600.047; 600.044; 600.060 |
Approved |
no |
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Call Number |
Admin @ si @ SBG2013 |
Serial |
2302 |
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Author |
Jorge Bernal |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Polyp Localization and Segmentation in Colonoscopy Images by Means of a Model of Appearance for Polyps |
Type |
Book Whole |
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Year |
2012 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Abstract |
Colorectal cancer is the fourth most common cause of cancer death worldwide and its survival rate depends on the stage in which it is detected on hence the necessity for an early colon screening. There are several screening techniques but colonoscopy is still nowadays the gold standard, although it has some drawbacks such as the miss rate. Our contribution, in the field of intelligent systems for colonoscopy, aims at providing a polyp localization and a polyp segmentation system based on a model of appearance for polyps. To develop both methods we define a model of appearance for polyps, which describes a polyp as enclosed by intensity valleys. The novelty of our contribution resides on the fact that we include in our model aspects of the image formation and we also consider the presence of other elements from the endoluminal scene such as specular highlights and blood vessels, which have an impact on the performance of our methods. In order to develop our polyp localization method we accumulate valley information in order to generate energy maps, which are also used to guide the polyp segmentation. Our methods achieve promising results in polyp localization and segmentation. As we want to explore the usability of our methods we present a comparative analysis between physicians fixations obtained via an eye tracking device and our polyp localization method. The results show that our method is indistinguishable to novice physicians although it is far from expert physicians. |
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Thesis |
Ph.D. thesis |
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Publisher |
Ediciones Graficas Rey |
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Editor |
F. Javier Sanchez;Fernando Vilariño |
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Area |
800 |
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Notes |
MV |
Approved |
no |
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Call Number |
Admin @ si @ Ber2012 |
Serial |
2211 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Gerard Lacey |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems |
Type |
Conference Article |
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Year |
2009 |
Publication |
in Proc. 3rd International Conference on Biomedical Electronics and Devices |
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Area |
800 |
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Notes |
MV;SIAI |
Approved |
no |
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Call Number |
fernando @ fernando @ |
Serial |
2430 |
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Permanent link to this record |