Ms. Angélica María Atehortúa Labrador Profile

Angélica María Atehortúa Labrador

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Publications (15)

Proceedings Article | 3 January 2020 Paper

Speckle noise reduction in echocardiography using a bank of filters based on oriented structuring elements

Jorge Daniel Jara-Hurtado, Álvaro Andrés Sandino, Angélica Atehortúa, Carlos Alberto Ortíz Dávila, Eduardo Romero

Proceedings Volume 11330, 1133005 (2020) https://doi.org/10.1117/12.2546588

KEYWORDS: Speckle, Anisotropic filtering, Denoising, Echocardiography, Image filtering, Synthetic aperture radar, Ultrasonography, Anisotropic diffusion, Optical filters, Medical imaging

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Proceedings Article | 3 January 2020 Paper

Automatic segmentation of the left ventricle myocardium by a multi-view deformable model

Miguel Beltran, Angélica Atehortúa, Eduardo Romero

Proceedings Volume 11330, 113301A (2020) https://doi.org/10.1117/12.2542580

KEYWORDS: Image segmentation, Heart, Magnetism, Magnetic resonance imaging, Cardiovascular magnetic resonance imaging

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Proceedings Article | 21 December 2018 Paper

Automatic segmentation of the left ventricle myocardium in congenital heart diseases by saliency features

Miguel Beltran, Angélica Atehortúa, Eduardo Romero

Proceedings Volume 10975, 1097515 (2018) https://doi.org/10.1117/12.2511561

KEYWORDS: Blood, Image segmentation, Heart, Magnetic resonance imaging, Image quality, Image processing, Digital filtering, Image filtering, 3D image enhancement, Shape analysis

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Proceedings Article | 17 November 2017 Paper

Cerebral palsy characterization by estimating ocular motion

Jully González, Angélica Atehortúa, Ricardo Moncayo, Eduardo Romero

Proceedings Volume 10572, 105720C (2017) https://doi.org/10.1117/12.2285997

KEYWORDS: Eye, Visualization, Optical flow, Optical tracking, Motion estimation, Detection and tracking algorithms, Motion analysis, Control systems, Sensors, Cameras

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Proceedings Article | 17 November 2017 Paper

Quantifying stimulus-response rehabilitation protocols by auditory feedback in Parkinson's disease gait pattern

Gustavo Pineda, Angélica Atehortúa, Marcela Iregui, Juan García-Arteaga, Eduardo Romero

Proceedings Volume 10572, 105720B (2017) https://doi.org/10.1117/12.2285975

KEYWORDS: Gait analysis, Video, Parkinson's disease, Basal ganglia

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External auditory cues stimulate motor related areas of the brain, activating motor ways parallel to the basal ganglia circuits and providing a temporary pattern for gait. In effect, patients may re-learn motor skills mediated by compensatory neuroplasticity mechanisms. However, long term functional gains are dependent on the nature of the pathology, follow-up is usually limited and reinforcement by healthcare professionals is crucial. Aiming to cope with these challenges, several researches and device implementations provide auditory or visual stimulation to improve Parkinsonian gait pattern, inside and outside clinical scenarios. The current work presents a semiautomated strategy for spatio-temporal feature extraction to study the relations between auditory temporal stimulation and spatiotemporal gait response. A protocol for auditory stimulation was built to evaluate the integrability of the strategy in the clinic practice. The method was evaluated in transversal measurement with an exploratory group of people with Parkinson’s (n = 12 in stage 1, 2 and 3) and control subjects (n =6). The result showed a strong linear relation between auditory stimulation and cadence response in control subjects (R=0.98 ±0.008) and PD subject in stage 2 (R=0.95 ±0.03) and stage 3 (R=0.89 ±0.05). Normalized step length showed a variable response between low and high gait velocity (0.2> R >0.97). The correlation between normalized mean velocity and stimulus was strong in all PD stage 2 (R>0.96) PD stage 3 (R>0.84) and controls (R>0.91) for all experimental conditions. Among participants, the largest variation from baseline was found in PD subject in stage 3 (53.61 ±39.2 step/min, 0.12 ± 0.06 in step length and 0.33 ± 0.16 in mean velocity). In this group these values were higher than the own baseline. These variations are related with direct effect of metronome frequency on cadence and velocity. The variation of step length involves different regulation strategies and could need others specific external cues. In conclusion the current protocol (and their selected parameters, kind of sound time for training, step of variation, range of variation) provide a suitable gait facilitation method specially for patients with the highest gait disturbance (stage 2 and 3). The method should be adjusted for initial stages and evaluated in a rehabilitation program.

Proceedings Article | 17 November 2017 Paper

Quantifying gait patterns in Parkinson's disease

Mónica Romero, Angélica Atehortúa, Eduardo Romero

Proceedings Volume 10572, 105720A (2017) https://doi.org/10.1117/12.2285966

KEYWORDS: Gait analysis, Motion models, Video, 3D modeling, Data acquisition, Data modeling, Motion estimation, Nervous system, Neurons, Robots

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Proceedings Article | 17 November 2017 Paper

Fusion of 4D echocardiography and cine cardiac magnetic resonance volumes using a salient spatio-temporal analysis

Angélica Atehortúa, Mireille Garreau, Eduardo Romero

Proceedings Volume 10572, 105721A (2017) https://doi.org/10.1117/12.2285956

KEYWORDS: Magnetic resonance imaging, Image registration, Echocardiography, Magnetism, Heart, 3D image processing, Image fusion

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Proceedings Article | 26 January 2017 Paper

Quantifying the gait pattern adaptation to auditory feedback in healthy elder adults

Gustavo Pineda, Marcela Iregui, Angélica Atehortúa , Eduardo Romero

Proceedings Volume 10160, 101600H (2017) https://doi.org/10.1117/12.2256942

KEYWORDS: Gait analysis, Temporal coherence, Phase shifts, Beam propagation method, Video, Cameras, Visualization, Biological research, Algorithm development, Image processing algorithms and systems

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Proceedings Article | 21 March 2016 Paper

Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach

Angélica Atehortúa , Maria Zuluaga, Sébastien Ourselin, Diana Giraldo, Eduardo Romero

Proceedings Volume 9784, 978435 (2016) https://doi.org/10.1117/12.2217076

KEYWORDS: Heart, Image segmentation, Magnetic resonance imaging, Rigid registration, Pathology, Biological research, Image analysis, Shape analysis, Motion measurement, Cardiovascular magnetic resonance imaging, Motion estimation, Medical imaging, Image contrast enhancement

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Proceedings Article | 22 December 2015 Paper

Automatic right ventricle (RV) segmentation by propagating a basal spatio-temporal characterization

Angélica Atehortúa, María Zuluaga, Fabio Martínez, Eduardo Romero

Proceedings Volume 9681, 96810N (2015) https://doi.org/10.1117/12.2208096

KEYWORDS: Image segmentation, Motion models, Rigid registration, Pathology, Heart, Biomedical optics, Biological research, Medical imaging, Motion estimation, Databases, Magnetic resonance imaging, Statistical modeling, Data modeling, Motion measurement

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Proceedings Article | 22 December 2015 Paper

Ipsilateral coordination features for automatic classification of Parkinson's disease

Fernanda Sarmiento, Angélica Atehortúa, Fabio Martínez, Eduardo Romero

Proceedings Volume 9681, 96810L (2015) https://doi.org/10.1117/12.2211469

KEYWORDS: Gait analysis, Parkinson's disease, Binary data, Integration, Analytical research, Medicine, Data acquisition, Adaptive optics, Feature extraction, Medical imaging

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Proceedings Article | 22 December 2015 Paper

A characterization of Parkinson's disease by describing the visual field motion during gait

David Trujillo, Fabio Martínez, Angélica Atehortúa, Charlens Alvarez, Eduardo Romero

Proceedings Volume 9681, 96810K (2015) https://doi.org/10.1117/12.2211438

KEYWORDS: Gait analysis, Eye, Parkinson's disease, Optical flow, Visualization, Pathology, Motion analysis, Optical tracking, Motion controllers, Medical imaging

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Proceedings Article | 22 December 2015 Paper

Quantifying Parkinson's disease progression by simulating gait patterns

Luisa Cárdenas, Fabio Martínez, Angélica Atehortúa, Eduardo Romero

Proceedings Volume 9681, 96810J (2015) https://doi.org/10.1117/12.2211250

KEYWORDS: Gait analysis, Performance modeling, Distance measurement, Parkinson's disease, Motion models, Systems modeling, 3D modeling, Surface plasmons, Pathology, Computer simulations

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Proceedings Article | 28 January 2015 Paper

Registration of cardiac magnetic resonance images using SURF points and matching

Braian Moreno, Angélica Atehortúa, Germán Corredor, Eduardo Romero

Proceedings Volume 9287, 92870U (2015) https://doi.org/10.1117/12.2073527

KEYWORDS: Image registration, Heart, Magnetism, Image segmentation, Pathology, Diagnostics, Sensors, Image processing, Medical imaging, Image analysis

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Proceedings Article | 19 November 2013 Paper

A novel right ventricle segmentation strategy using local spatio-temporal MRI information with a prior regularizer term

Angélica Atehortúa, Fabio Martínez, Eduardo Romero

Proceedings Volume 8922, 892203 (2013) https://doi.org/10.1117/12.2035512

KEYWORDS: Heart, Magnetic resonance imaging, Motion estimation, Cardiovascular magnetic resonance imaging, Image segmentation, Motion measurement, Magnetic tracking, Magnetism, Motion models, Fuzzy logic

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Showing 5 of 15 publications

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