Carlos Santiago

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The present paper describes functions and procedures of FUTON Radio Over Fiber Manager to operate with upper (network) and lower (physical) layers used in the transport of the wireless signals between a Central Unit (CU) and Remote Antenna Units. Also, it presents some mechanisms and procedures to be used in case of failures, while enabling end-to-end(More)
Statistical shape models have been extensively used in a wide range of applications due to their effectiveness in providing prior shape information for object segmentation problems. The most popular method is the active shape model (ASM). However, accurately fitting the shape model to an object boundary under a cluttered environment is a challenging task.(More)
The segmentation of the left ventricle (LV) is an important task to assess the cardiac function in ultrasound images of the heart. This paper presents a novel methodology for the segmentation of the LV in three-dimensional (3-D) echocardiographic images based on the probabilistic data association filter (PDAF). The proposed methodology begins by(More)
The 3D segmentation of endocardium of the left ventricle (LV) in cardiac MRI volumes is a challenging problem due to the intrinsic properties of this image modality. Typically, the object shape and position are estimated to fit the observed features collected from the images. The difficulty inherent to the LV segmentation in MRI is that the images contain(More)
Active shape models (ASM) have been extensively used in object segmentation problems because they constrain the solution, using shape statistics. However, accurately fitting an ASM to an image prone to outliers is difficult and poor results are often obtained. To overcome this difficulty we propose a robust algorithm based on the Expectation-Maximization(More)
Three-dimensional active shape models use a set of annotated volumes to learn a shape model. Using unique landmarks to define the surface models in the training set, the shape model is able to learn the expected shape and variation modes of the segmentation. This information is then used during the segmentation process to impose shape constraints. A(More)
The 3D segmentation of the left ventricle (LV) in cardiac MRI is a challenging problem, due to the presence of other anatomical structures and artifacts (outliers) around the LV. In this paper, a new formulation of a Robust Active Shape Model (RASM) is presented that is able to deal with those outliers. Instead of using the traditional one-to-one mapping of(More)