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The seminar takes place Monday 12:15-1:15 PM in the WEB 3760. See the SCI calendar and subscribe to the google calendar below.
Archived agendas are now available for previous presentations
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Events Calendar
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Weekly Agendas (Fall 2010)
September 13rd
Presenter: Linh Ha - Presentation of MICCAI 2010.
Presentation Title: Image Registration Driven by Combined Probabilistic and Geometric Descriptors
Description/Abstract:
Deformable image registration in the presence of considerable contrast differences and large-scale size and shape changes represents a significant challenge for image registration. A representative driving application is the study of early brain development in neuroimaging, which requires co-registration of images of the same subject across time or building 4-D population atlases. Growth during the first few years of development involves significant changes in size and shape of anatomical structures but also rapid changes in tissue properties due to myelination and structuring that are reflected in the multi-modal Magnetic Resonance (MR) contrast measurements. We propose a new registration method that generates a mapping between brain anatomies represented as a multi-compartment model of tissue class posterior images and geometries. We transform intensity patterns into combined probabilistic and geometric descriptors that drive the matching in a diffeomorphic framework, where distances between geometries are represented using currents which does not require geometric correspondence. We show preliminary results on the registrations of neonatal brain MRIs to two-year old infant MRIs using class posteriors and surface boundaries of structures undergoing major changes. Quantitative validation demonstrates that our proposed method generates registrations that better preserve the consistency of anatomical structures over time
Supplemental material: Paper
Presenter: Fangxiang Jiao - Presentation of MICCAI-MIAR 2010.
Presentation Title: Metrics for Uncertainty Analysis and Visualization of Diffusion Tensor Images
Description/Abstract:
In this paper, we propose three metrics to quantify the differences between the results of diffusion tensor magnetic resonance imaging (DT-MRI) fiber tracking algorithms: the area between corresponding fibers of each bundle, the Earth Mover's Distance (EMD) between two fiber bundle volumes, and the current distance between two fiber bundle volumes. We also discuss an interactive fiber track comparison visualization toolkit we have developed based on the three proposed fiber difference metrics and have tested on six widely-used fiber tracking algorithms. To show the effectiveness and robustness of our metrics and visualization toolkit, we present results on both synthetic data and high resolution monkey brain DT-MRI data. Our toolkit can be used for testing the noise effects on fiber tracking analysis and visualization and to quantify the difference between any pair of DT-MRI techniques, compare single subjects within an image atlas.
Supplemental material: Paper
September 20th
September 27th
October 4th
Presenter: Stanley Durrleman
Additional information: Dr. Stanley Durrleman is a postdoctoral fellow at SCI. His research interests are statistical analysis of 3D shapes in the context of Computational Anatomy, correspondence-free metric between shapes like currents, and registration using large diffeomorphic deformation. Dr. Stanley Durrleman's SCI page is http://www.sci.utah.edu/people/stanley.html
October 11st
This week will be the Fall break
October 18th
October 25th
November 1st
November 8th
November 15th
November 22nd
November 29th
December 6th
December 13rd
Past Weekly Agendas
August 23rd
Presenter: Xiang Hao, Bo Wang
Presentation Title: Review of Computer Vision and Pattern Recognition (CVPR) 2010
Description/Abstract:
Xiang Hao and Bo Wang went to Computer Vision and Pattern Recognition (CVPR) 2010 (June 13 - 18), they will give a review of CVPR 2010.
Supplemental material:
The Oral Presentations and Poster Spotlights of CVPR 2010 video
List of Tutorials/Short Courses of CVPR 2010 slides
August 30th
Presenter: Stephanie Allassonniere
Presentation Title: A Stochastic Algorithm for Probabilistic Independent Component Analysis
Description/Abstract:
The decomposition of a sample of images on a relevant subspace is a recurrent problem in many different fields from Computer Vision to medical image analysis. We propose in this paper a new learning principle and implementation of the generative decomposition model generally known as noisy ICA (for independent component analy- sis) based on the SAEM algorithm, which is a versatile stochastic approximation of the standard EM algorithm. We demonstrate the applicability of the method on a large range of decomposition models and illustrate the developments with experimental results on various data sets.
Additional information: Dr. Stephanie Allassonniere is a visiting professor at SCI, she is doing research in statistical analysis of images and deformations. Dr. Stephanie Allassonniere's SCI page is http://www.sci.utah.edu/people/sallassonniere.html
September 6th
Labor Day holiday
Archived Weekly Agendas for Fall 2009
Archived Weekly Agendas for Spring 2010
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