Karla L Caballero

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Coronary plaque rupture is one of the principal causes of sudden death in western societies. Reliable diagnostic of the different plaque types are of great interest for the medical community the predicting their evolution and applying an effective treatment. To achieve this, a tissue classification must be performed. Intravascular Ultrasound (IVUS)(More)
Cardiac Magnetic Resonance images offer the opportunity to study the heart in detail. One of the main issues in its modelling is to create an accurate 3-D reconstruction of the left ventricle from 2-D views. A first step to achieve this goal is the correct registration among the different image planes due to patient movements. In this article, we present an(More)
A main issue in the automatic analysis of Intravascular Ultrasound (IVUS) images is the presence of periodic changes provoked by heart motion during the cardiac cycle. Although the Electrocardiogram (ECG) signal can be used to gate the sequence, few IVUS systems incorporate the ECG-gating option, and the synchronization between them implies several issues.(More)
In this paper we present a novel framework for classification of the different kind of tissues in intravascular ultrasound (IVUS) data. We describe a normalized reconstruction process for IVUS images from radio frequency (RF) signals. The reconstructed data is described in terms of texture based features and feeds an ECOC-Adaboost learning process. In the(More)
In this paper we present a novel framework for classification of the different kind of tissues in intravascular ultrasound (IVUS) data. We describe a normalized reconstruction process for IVUS images from radio frequency (RF) signals. The reconstructed data is described in terms of texture based features and feeds an ECOC-Adaboost learning process. In the(More)
Cardiac Magnetic Resonance images offer the opportunity to study the heart in detail. One of the main issues in its modelling is to create an accurate 3-D reconstruction of the left ventri-cle from 2-D views. A first step to achieve this goal is the correct registration among the different image planes due to patient movements. In this article, we present(More)
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