[BIC-announce] BIC Lecture: Segmentation of Image Ensembles via Latent Atlases, Dr. Tammy Riklin Raviv, Postdoctoral fellow, MIT (May-21, de Grandpré Communications Centre)

[Zografos 'Aki' Caramanos]

BIC Lecture

Speaker: Tammy Riklin Raviv, Postdoctoral fellow, MIT
Date: Friday, May 21, 2010
Time: 1:00pm
Location: de Grandpré Communications Centre, Montreal Neurological Institute

Segmentation of Image Ensembles via Latent Atlases
---------------------------------------------------
The images acquired via medical imaging modalities are frequently subject to
low signal-to-noise ratio, bias field and partial volume effects. These
artifacts, together with the naturally low contrast between image
intensities of some neighboring structures, make the extraction of regions
of interest (ROIs) in clinical images a challenging problem. Probabilistic
atlases, typically generated from comprehensive sets of manually labeled
examples, facilitate the analysis by providing statistical priors for tissue
classification and structure segmentation. However, the limited availability
of training examples that are compatible with the images to be segmented
renders the atlas-based approaches impractical in many cases.

In the talk I will present a generative model for joint segmentation of
corresponding regions of interest in a collection of aligned images that
does not require labeled training data. Instead, the evolving segmentation
of the entire image set supports each of the individual segmentations. This
is made possible by iteratively inferring a subset of the model parameters,
called the spatial parameters, as part of the joint segmentation processes.
These spatial parameters are defined in the image domain and can be viewed
as a latent atlas. Our latent atlas formulation is based on probabilistic
principles, but we solve it using partial differential equations and energy
minimization criteria. We evaluate the method successfully for the
segmentation of cortical and subcortical structures within different
populations and of brain tumors in a single-subject multi-modal longitudinal
experiment.


Bio
----
Tammy Riklin Raviv is a post-doctorate researcher at the Medical Vision
group of CSAIL, MIT since January 2008. She is also affiliated with the
Surgical Planning Laboratory of the Brigham & Women's Hospital and Harvard
Medical School.

She received her PhD degree from the school of Electrical Engineering of
Tel-Aviv University in 2008.

She received the B.Sc. degree in Physics (1993), and the M.Sc. degree in
Computer Science (1999) from the Hebrew University of Jerusalem. Her areas
of interests include Computer Vision and Medical Image Analysis.

She was also the recipient of the 2009 MICCAI Young Investigator Award.




-- 
Zografos Caramanos, M.A.
Ph.D. Student, Integrated Program in Neuroscience

Magnetic Resonance Spectroscopy Unit,
McConnell Brain Imaging Centre,
Montreal Neurological Institute, McGill University
3801 University Street, Montreal, Quebec, Canada, H3A 2B4
(phone) 514-398-8185; (fax) 514-398-2975
(e-mail) zografos.caramanos at mcgill.ca
(website) www.zcaramanos.com
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.bic.mni.mcgill.ca/pipermail/bic-announce/attachments/20100517/05f41f18/attachment.htm>