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[Seminario Línea de Matemáticas grupo GAUNAL, 2do. sem. 2016] «Automatic seizure detection using electroencephalography signals» / «Estimation of dose uncertainties for the bladder in prostate cancer radiotherapy based on statistical models of bladder...»

La línea de matemáticas avanzada para el control y los sistemas dinámicos del Grupo de Automática de la Universidad Nacional de Colombia (Gaunal) de la Facultad de Minas de la UN sede Medellín invita a las exposiciones:

Automatic seizure detection using electroencephalography signals

Epilepsy is a neurological disorder that affects more than 50 million of individuals worldwide, where electroencephalography (EEG) signals become a useful tool to assist neurologists for diagnosis and treatment. Hence, the scan interpretation is mostly subject to the expertise of the radiologist. In this way, a thesis proposal about automatic seizure (event) detection using EEG is presented; this includes the research problem, background and state of the art, objectives, methodology and related activities.

Expositora: María Clara Salazar Londoño

Fecha y hora: viernes 21 de octubre de 2016, 10:00-10:45

Lugar: aula M8-116

Estimation of dose uncertainties for the bladder in prostate cancer radiotherapy based on statistical models of bladder motion and deformation

In prostate cancer radiotherapy, bladder motion and deformation between fractions introduce geometrical uncertainties that hampering the computation of the actual delivered dose vs planned dose. The aim of this work is to estimate mean and variance of the dose delivered to the bladder using statistical models of motion and deformation.  Based on a few bladder samples of patients treated for prostate cancer, PCA was used to obtain the dominant eigenmodes that describe bladder geometric variations between fractions. Weighted sums of a few dominating modes can be used to simluate likely organ geometries, where each weight obeyed a Gaussian distribution with mean of zero and the corresponding eigenvalue as variance. These Gaussian distributions thus enables us to calculate  average voxel doses, local dose variability and dose–volume histogram uncertainties. This model can be used for tailoring radiotherapy treatments.

Expositor: Richard Ríos Patiño

Fecha y hora: viernes 21 de octubre de 2016, 11:00-11:45

Lugar: aula M8-116

Los seminarios son dirigidos por el profesor Jairo José Espinosa Oviedo.

Información adicional: Magda Pinto Vargas, , teléfono (+574)4255295

[Boletín UN Investiga 318, 13 de octubre de 2016]