[vtkusers] 2nd Call for participation: Shape Models for Biomedical Image Segmentation, MICCAI'2011 tutorial

[Moti Freiman]

Dear Researchers,

***** Apologies for multiple postings ******

We are pleased to announce that we are organizing a tutorial
on: "Shape Models for Biomedical Image Segmentation" in conjunction with
MICCAI 2011 on September 18, 2011 at Toronto, Canada.

Shape models have recently attracted much attention due to their successful
role in many medical image segmentation tasks. Many of the most successful
automatic segmentation algorithms evaluated during the previous MICCAI Grand
Challenge competitions made effective use of shape models to provide prior
knowledge for these various segmentation tasks. An increasingly wider range
of methodologies have emerged for the construction, representation, and
application of these shape models. Often, the shape models are only briefly
presented in the context of specific segmentation algorithms. A thorough,
detailed discussion focusing upon shape model construction and its uses is
often missing.

The goal of this tutorial is to address shape models for segmentation and to
provide a unified framework for in-depth discussion of the construction and
application of shape models in medical image segmentation. The tutorial will
review different methodologies for the use of shape models in medical image
segmentation algorithms. The main focus will be on describing different
approaches to building shape models that are used as prior knowledge for
image segmentation algorithms and the different techniques to use these
models for segmentation. The tutorial will consist of three main themes: 1)
Recent clinical applications that require segmentation as a pre-requisite,
2) Mesh and Image based atlas construction methodologies, and; 3)
Integration of shape-models into image segmentation algorithms.


Invited speakers:
Dr. Tobias Heimann, Dr. Olivier Commowick, and Prof. Daniel Cremers.


For more information, please go to
http://crl.med.harvard.edu/research/MICCAI_Tutorial/index.php


Registration:
MICCAI'2011 registration website: http://www.miccai2011.org/registration

Best regards:

Moti Freiman, Simon Warfield and Leo Joskowicz

-------------


Program (details at
http://crl.med.harvard.edu/research/MICCAI_Tutorial/index.php )

Part 1: Introduction - clinical applications
9:00-9:30:  Introduction, Recent clinical advances and new applications for
medical image segmentation (L.J.).

Part 2: Mesh and Image based atlas construction methodologies
9:30-10:45:  Mesh-based atlas construction methodologies (T.H.).
10:45-11:15: Coffee break.
11:45-13:00: Methodologies for inferring a shape model from multiple
template images (S.W.).
13:00-14:00: Lunch break
14:00-15:15: Registration and template selection strategies (O.C.).
15:15-15:45: Coffee break

Part 3: Segmentation techniques with shape priors
15:45-16:45: Shape prior integration in discrete optimization segmentation
algorithms (M. F.).
16:45-17:45: Algorithmic solutions for shape priors in image segmentation
(D.C.).
17:45-18:00: Questions, discussion, and concluding remarks.








-- 
__
Moti Freiman, Ph.D.
Postdoctoral Associate, Harvard Medical School.
Research Fellow, Computational Radiology Laboratory.
Dept. of Radiology, Children's hospital,
300 Longwood Ave. Boston, MA 02115.
Tel: +1 617-355-2755
Fax: +1 617-730-4644
Lab website: http://crl.med.harvard.edu
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