| Records |
| Author |
Debora Gil; Oriol Rodriguez; J. Mauri; Petia Radeva |
| Title |
Statistical descriptors of the Myocardial perfusion in angiographic images |
Type |
Conference Article |
| Year |
2006 |
Publication  |
Proc. Computers in Cardiology |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
677-680 |
| Keywords |
Anisotropic processing; intravascular ultrasound (IVUS); vessel border segmentation; vessel structure classification. |
| Abstract |
Restoration of coronary flow after primary percutaneous coronary intervention in acute myocardial infarction does not always correlate with adequate myocardial perfusion. Recently, coronary angiography has been used to assess microcirculation integrity (Myocardial BlushAnalysis, MBA). Although MBA correlates with patient prognosis there are few image processing methods addressing objective perfusion quantification. The goal of this work is to develop statistical descriptors of the myocardial dyeing pattern allowing objective assessment of myocardial perfusion. Experiments on healthy right coronary arteries show that our approach allows reliable measurements without any specific image acquisition protocol. |
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IAM;MILAB |
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no |
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IAM @ iam @ GRR2006 |
Serial |
1528 |
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| Author |
Aura Hernandez-Sabate; Debora Gil; Petia Radeva; E.N.Nofrerias |
| Title |
Anisotropic processing of image structures for adventitia detection in intravascular ultrasound images |
Type |
Conference Article |
| Year |
2004 |
Publication |
Proc. Computers in Cardiology |
Abbreviated Journal |
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| Volume |
31 |
Issue |
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Pages |
229-232 |
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| Abstract |
The adventitia layer appears as a weak edge in IVUS images with a non-uniform grey level, which difficulties its detection. In order to enhance edges, we apply an anisotropic filter that homogenizes the grey level along the image significant structures (ridges, valleys and edges). A standard edge detector applied to the filtered image yields a set of candidate points prone to be unconnected. The final model is obtained by interpolating the former line segments along the tangent direction to the level curves of the filtered image with an anisotropic contour closing technique based on functional extension principles |
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Chicago (USA) |
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IAM; MILAB |
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no |
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IAM @ iam @ HGR2004 |
Serial |
1555 |
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| Author |
Petia Radeva; Joan Serrat; Enric Marti |
| Title |
A snake for model-based segmentation |
Type |
Conference Article |
| Year |
1995 |
Publication |
Proc. Conf. Fifth Int Computer Vision |
Abbreviated Journal |
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Issue |
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Pages |
816-821 |
| Keywords |
snakes; elastic matching; model-based segmenta tion |
| Abstract |
Despite the promising results of numerous applications, the hitherto proposed snake techniques share some common problems: snake attraction by spurious edge points, snake degeneration (shrinking and attening), convergence and stability of the deformation process, snake initialization and local determination of the parameters of elasticity. We argue here that these problems can be solved only when all the snake aspects are considered. The snakes proposed here implement a new potential eld and external force in order to provide a deformation convergence, attraction by both near and far edges as well as snake behaviour selective according to the edge orientation. Furthermore, we conclude that in the case of model-based seg mentation, the internal force should include structural information about the expected snake shape. Experiments using this kind of snakes for segmenting bones in complex hand radiographs show a signi cant improvement. |
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MILAB;ADAS;IAM |
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no |
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IAM @ iam @ RSM1995 |
Serial |
1634 |
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| Author |
Aura Hernandez-Sabate; Debora Gil; Albert Teis |
| Title |
How Do Conservation Laws Define a Motion Suppression Score in In-Vivo Ivus Sequences? |
Type |
Conference Article |
| Year |
2007 |
Publication |
Proc. IEEE Ultrasonics Symp |
Abbreviated Journal |
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Issue |
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Pages |
2231-2234 |
| Keywords |
validation standards; IVUS motion compensation; conservation laws. |
| Abstract |
Evaluation of arterial tissue biomechanics for diagnosis and treatment of cardiovascular diseases is an active research field in the biomedical imaging processing area. IntraVascular UltraSound (IVUS) is a unique tool for such assessment since it reflects tissue morphology and deformation. A proper quantification and visualization of both properties is hindered by vessel structures misalignments introduced by cardiac dynamics. This has encouraged development of IVUS motion compensation techniques. However, there is a lack of an objective evaluation of motion reduction ensuring a reliable clinical application This work reports a novel score, the Conservation of Density Rate (CDR), for validation of motion compensation in in-vivo pullbacks. Synthetic experiments validate the proposed score as measure of motion parameters accuracy; while results in in vivo pullbacks show its reliability in clinical cases. |
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IAM |
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no |
| Call Number |
IAM @ iam @ HTG2007 |
Serial |
1550 |
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| Author |
Aura Hernandez-Sabate; David Rotger; Debora Gil |
| Title |
Image-based ECG sampling of IVUS sequences |
Type |
Conference Article |
| Year |
2008 |
Publication |
Proc. IEEE Ultrasonics Symp. IUS 2008 |
Abbreviated Journal |
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Issue |
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Pages |
1330-1333 |
| Keywords |
Longitudinal Motion; Image-based ECG-gating; Fourier analysis |
| Abstract |
Longitudinal motion artifacts in IntraVascular UltraSound (IVUS) sequences hinders a properly 3D reconstruction and vessel measurements. Most of current techniques base on the ECG signal to obtain a gated pullback without the longitudinal artifact by using a specific hardware or the ECG signal itself. The potential of IVUS images processing for phase retrieval still remains little explored. In this paper, we present a fast forward image-based algorithm to approach ECG sampling. Inspired on the fact that maximum and minimum lumen areas are related to end-systole and end-diastole, our cardiac phase retrieval is based on the analysis of tissue density of mass along the sequence. The comparison between automatic and manual phase retrieval (0.07 ± 0.07 mm. of error) encourages a deep validation contrasting with ECG signals. |
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Beijing (China) |
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| Notes |
IAM;MILAB |
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no |
| Call Number |
IAM @ iam @ HRG2008 |
Serial |
1553 |
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| Author |
V. Valev; Petia Radeva |
| Title |
Structural Pattern Recognition by Non-Reducible Descriptors |
Type |
Conference Article |
| Year |
1994 |
Publication |
Proc. International Workshop on Syntactic and Structural Pattern Recognition. |
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Nahariya, Israel |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ VaR1994 |
Serial |
107 |
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| Author |
V. Valev; Petia Radeva |
| Title |
A Method of Solving Pattern or image Recognition Problems by Learning Boolean Formulas. |
Type |
Miscellaneous |
| Year |
1992 |
Publication |
Proc. of 11th IAPR International Conference on Pattern Recognition, Hague, Netherlands, IEEE Computer Society Press, vol. II, pp. 359–362. |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ VaR1992b |
Serial |
253 |
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| Author |
Aura Hernandez-Sabate; Petia Radeva; Antonio Tovar; Debora Gil |
| Title |
Vessel structures alignment by spectral analysis of ivus sequences |
Type |
Conference Article |
| Year |
2006 |
Publication |
Proc. of CVII, MICCAI Workshop |
Abbreviated Journal |
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Issue |
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Pages |
39-36 |
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| Abstract |
Three-dimensional intravascular ultrasound (IVUS) allows to visualize and obtain volumetric measurements of coronary lesions through an exploration of the cross sections and longitudinal views of arteries. However, the visualization and subsequent morpho-geometric measurements in IVUS longitudinal cuts are subject to distortion caused by periodic image/vessel motion around the IVUS catheter. Usually, to overcome the image motion artifact ECG-gating and image-gated approaches are proposed, leading to slowing the pullback acquisition or disregarding part of IVUS data. In this paper, we argue that the image motion is due to 3-D vessel geometry as well as cardiac dynamics, and propose a dynamic model based on the tracking of an elliptical vessel approximation to recover the rigid transformation and align IVUS images without loosing any IVUS data. We report an extensive validation with synthetic simulated data and in vivo IVUS sequences of 30 patients achieving an average reduction of the image artifact of 97% in synthetic data and 79% in real-data. Our study shows that IVUS alignment improves longitudinal analysis of the IVUS data and is a necessary step towards accurate reconstruction and volumetric measurements of 3-D IVUS. |
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Copenhaguen (Denmark), |
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1st International Wokshop on Computer Vision for Intravascular and Intracardiac Imaging (CVII’06) |
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IAM; MILAB |
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no |
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IAM @ iam @ HRT2006 |
Serial |
1552 |
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| Author |
J. Weickert; Bart M. Ter Haar Romeny; Antonio Lopez; W. Van Enk |
| Title |
Orientation Analysis by Coherence-Enhancing Diffusion. |
Type |
Miscellaneous |
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1997 |
Publication |
Proc. of the Real World Computing Symposium. |
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ADAS |
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no |
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ADAS @ adas @ WTL1997 |
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211 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
Learning of structural descriptions of graphic symbols using deformable template matching |
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Conference Article |
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2001 |
Publication |
Proc. Sixth Int Document Analysis and Recognition Conf |
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455-459 |
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Accurate symbol recognition in graphic documents needs an accurate representation of the symbols to be recognized. If structural approaches are used for recognition, symbols have to be described in terms of their shape, using structural relationships among extracted features. Unlike statistical pattern recognition, in structural methods, symbols are usually manually defined from expertise knowledge, and not automatically infered from sample images. In this work we explain one approach to learn from examples a representative structural description of a symbol, thus providing better information about shape variability. The description of a symbol is based on a probabilistic model. It consists of a set of lines described by the mean and the variance of line parameters, respectively providing information about the model of the symbol, and its shape variability. The representation of each image in the sample set as a set of lines is achieved using deformable template matching. |
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DAG;IAM; |
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no |
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IAM @ iam @ VMA2001 |
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1654 |
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| Author |
Robert Benavente; Laura Igual; Fernando Vilariño |
| Title |
Current Challenges in Computer Vision |
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Book Whole |
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2008 |
Publication |
Proccedings of the Third Internal Workshop |
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978-84-936529-0-6 |
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CVCRD |
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MILAB;CIC;SIAI |
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no |
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BCNPCL @ bcnpcl @ BIV2008 |
Serial |
1110 |
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| Author |
Maria Vanrell; Felipe Lumbreras; A. Pujol; Ramon Baldrich; Josep Llados; Juan J. Villanueva |
| Title |
Colour Normalisation Based on Background Information. |
Type |
Miscellaneous |
| Year |
2001 |
Publication |
Proceeding ICIP 2001, IEEE International Conference on Image Processing |
Abbreviated Journal |
ICIP 2001 |
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1 |
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874–877 |
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Grecia. |
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ADAS;DAG;CIC |
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no |
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ADAS @ adas @ VLP2001 |
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167 |
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| Author |
Jose Luis Alba; A. Pujol; Juan J. Villanueva |
| Title |
Separating Geometry from Texture to Improve Face Analysis. |
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Miscellaneous |
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2001 |
Publication |
Proceeding ICIP 2001, IEEE International Conference on Image Processing, 2:673–676 |
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Grecia |
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ISE @ ise @ APV2001c |
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71 |
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| Author |
Aura Hernandez-Sabate; Debora Gil; J. Mauri; Petia Radeva |
| Title |
Reducing cardiac motion in IVUS sequences |
Type |
Conference Article |
| Year |
2006 |
Publication |
Proceeding of Computers in Cardiology |
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33 |
Issue |
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685-688 |
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| Abstract |
Cardiac vessel displacement is a main artifact in IVUS sequences. It hinders visualization of the main structures in an appropriate orientation and alignment and affects extracting vessel measurements. In this paper, we present a novel approach for image sequence alignment based on spectral analysis, which removes rigid dynamics, preserving at the same time the vessel geometry. First, we suppress the translation by taking, for each frame, the center of mass of the image as origin of coordinates. In polar coordinates with such point as origin, the rotation appears as a horizontal displacement. The translation induces a phase shift in the Fourier coefficients of two consecutive polar images. We estimate the phase by adjusting a regression plane to the phases of the principal frequencies. Experiments show that the presented strategy suppress cardiac motion regardless of the acquisition device. 1. |
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IAM; MILAB |
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IAM @ iam @ HGM2006a |
Serial |
1554 |
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| Author |
Joel Barajas; Jaume Garcia; Francesc Carreras; Sandra Pujades; Petia Radeva |
| Title |
Angle Images Using Gabor Filters in Cardiac Tagged MRI |
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Conference Article |
| Year |
2005 |
Publication |
Proceeding of the 2005 conference on Artificial Intelligence Research and Development |
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107-114 |
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Angle Images, Gabor Filters, Harp, Tagged Mri |
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Tagged Magnetic Resonance Imaging (MRI) is a non-invasive technique used to examine cardiac deformation in vivo. An Angle Image is a representation of a Tagged MRI which recovers the relative position of the tissue respect to the distorted tags. Thus cardiac deformation can be estimated. This paper describes a new approach to generate Angle Images using a bank of Gabor filters in short axis cardiac Tagged MRI. Our method improves the Angle Images obtained by global techniques, like HARP, with a local frequency analysis. We propose to use the phase response of a combination of a Gabor filters bank, and use it to find a more precise deformation of the left ventricle. We demonstrate the accuracy of our method over HARP by several experimental results. |
| Address |
Amsterdam; The Netherlands |
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IOS Press |
Place of Publication |
Amsterdam, The Netherlands |
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1-58603-560-6 |
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CAIRD |
| Notes |
IAM;MILAB |
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no |
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BCNPCL @ bcnpcl @ BGC2005; IAM @ iam |
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595 |
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