Biomedical Engineering Interest Group: Difference between revisions

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== News ==
== News ==
=== Joint ISR/IMM seminar in Biomedical Engineering ===
Edíficio Egas Moniz, Hospital de Santa Maria
'''Dia ? de Abril de 2008 às ?? horas'''
'''First Talk:''' José Rino (IMM) (joserino@gmail.com)
'''Title:'''
'''Abstract:'''
----
'''Second Talk:''' João Sanches (ISR) (jmrs@isr.ist.utl.pt)
'''Title:''' Sequence Denoising of  Fluorescence Confocal Microscopy Images with Anisotropic Filtering.
'''Abstract:''' Fluorescence Confocal Microscopy (FCM) is  one of the most important tools in biomedicine research. In fact, it makes possible to accurately study the dynamic processes occurring inside the cell and its nucleus by following the motion of fluorescent molecules along the time. Due to the small amount of acquired radiation and the huge optical and electronics amplification, the FCM images are usually corrupted by a severe type of Poisson noise. This noise may be even more damaging when very low intensity incident radiation is used to avoid phototoxicity. In this talk a Bayesian algorithm is described to remove the Poisson multiplicative noise corrupting the FCM images. The observations are organized in a 3D tensor where each plane is one of the images acquired along the time of a cell  using the Fluorescence Loss In Photobleaching (FLIP) technique. The method removes simultaneously the noise by considering different spatial and temporal correlations. This is done by using an anisotropic 3D filter that may be separately tuned in space and time dimensions.


== People ==
== People ==

Revision as of 11:01, 16 April 2008

News

Joint ISR/IMM seminar in Biomedical Engineering

Edíficio Egas Moniz, Hospital de Santa Maria Dia ? de Abril de 2008 às ?? horas

First Talk: José Rino (IMM) (joserino@gmail.com)

Title:

Abstract:




Second Talk: João Sanches (ISR) (jmrs@isr.ist.utl.pt)

Title: Sequence Denoising of Fluorescence Confocal Microscopy Images with Anisotropic Filtering.

Abstract: Fluorescence Confocal Microscopy (FCM) is one of the most important tools in biomedicine research. In fact, it makes possible to accurately study the dynamic processes occurring inside the cell and its nucleus by following the motion of fluorescent molecules along the time. Due to the small amount of acquired radiation and the huge optical and electronics amplification, the FCM images are usually corrupted by a severe type of Poisson noise. This noise may be even more damaging when very low intensity incident radiation is used to avoid phototoxicity. In this talk a Bayesian algorithm is described to remove the Poisson multiplicative noise corrupting the FCM images. The observations are organized in a 3D tensor where each plane is one of the images acquired along the time of a cell using the Fluorescence Loss In Photobleaching (FLIP) technique. The method removes simultaneously the noise by considering different spatial and temporal correlations. This is done by using an anisotropic 3D filter that may be separately tuned in space and time dimensions.

People

Publications

Medical Imaging

Ultrasound

Carotid

Liver

Heart

MRI

fMRI

DCE-MRI

Heart

Denoising / Deblurring

Neurosciences

fMRI

Neurophysiology

Biological Imaging

Fluorescence Confocal Microscopy

FLIP/FRAP

Bright Field Microscopy

Karyotyping

Biomedical signal processing