Image Analysis of Human Brain Development
Understanding how the structural and functional patterns of the human brain are formed is a critical field of research covering many areas from basic neuroscience to clinical neuroradiology. Recent advances in clinical imaging techniques have begun to allow us to study very early human brain growth in vivo and in utero.
This workshop will aim to explore work being carried out in the emerging field of image analysis of brain development. It will collect together research on both imaging and image analysis techniques related to studying the growth of the human brain from early clinical fetal imaging using ultrasound and MRI, to imaging studies of neonates, children and adolescents. It will cover both clinical imaging-based research and basic neuroscience studies.
We hope that this workshop will be an open forum for researchers involved in these areas and a unique opportunity to exchange ideas, data and software.
We invite the submission of papers related to the following topics:
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-US/MR imaging, motion correction, image reconstruction
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-image segmentation and diffusion data analysis of developing brain tissues
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-image registration, 4D atlas building
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-statistical analysis of spatio-temporal (possibly multimodal) data
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-image visualization of 4D data
Thursday, September 22, 2011
Important Dates
Paper submission deadline
June 15, 2011
Notification of acceptance
July 15, 2011
Camera ready paper submission
July 22, 2011
Final program
August 1, 2011
Workshop
September 22, 2011
Description
Organizers
Colin Studholme
(University of Washington)
Francois Rousseau
(CNRS-University of Strasbourg)
Lilla Zollei
(Massachusetts General Hospital)
Piotr A. Habas
(University of Washington)
William M. Wells III
(Harvard Medical School)
Submission
Paper formatting: Papers are limited to eight pages. Papers should be formatted in Lecture Notes in Computer Science style. Style files can be found on the Springer website. The file format for submissions is Adobe Portable Document Format (PDF). Other formats will not be accepted.
Blind review: the reviewing is double blind: authors do not know the names of the reviewers of their papers, and reviewers do not know the names of the authors. Please see the Anonymity guidelines of MICCAI 2011 for detailed explanations of how to ensure this.
Submission: the submission process is available through the easy chair website.
Program Committee
Christian Barillot
Jessica Dubois
Guido Gerig
Joseph Hajnal
Kio Kim
Gabriele Lohmann
Jean-Francois Mangin
Vincent Noblet
Estanislao Oubel
Daniel Rueckert
Dinggang Shen
Simon Warfield
Neil Weisenfeld
IRISA
INSERM-CEA, Neurospin
University of Utah
Imperial College London
University of Washington
Max Planck Institute
CEA Neurospin
CNRS - University of Strasbourg
CNRS - University of Strasbourg
Imperial College London
UNC, Chapell Hill
Harvard Medical School
Harvard Medical School
Previous related MICCAI workshops:
Program (download proceedings in pdf)
9:20
9:40
10:30
11:00
11:20
11:40
12:00
13:00
14:00
14:50
15:10
15:30
16:00
16:20
16:40
Welcome and introduction
Daniel Rueckert: Analysis of brain development using machine learning and image registration
Coffee break
Dwarikanath Mahapatra: Neonatal Brain MRI Skull Stripping using Graph Cuts and Shape Priors
Eva Dittrich, Tammy Riklin-Raviv, Gregor Kasprian, Peter Brugger, Daniela Prayer and Georg Langs: Learning a spatio-temporal latent atlas for fetal brain segmentation
Poster teasers
Lunch
Poster Session
Louis Collins: TBA
Rudolph Pienaar, Michael Paldino, Kiho Im, Daniel Ginsburg and P. Ellen Grant: Surface Curvature Distributions as Markers for Distinguishing Normal and Polymicrogyria Brains During Development: a Lobar-Based Analysis [pdf]
Neda Sadeghi, Marcel Prastawa, P. Thomas Fletcher, John H. Gilmore, Weili Lin and Guido Gerig: Statistical Growth Modeling of Longitudinal DT-MRI for Regional Characterization of Early Brain Development [pdf]
Coffee break
Yalin Wang, Ashok Panigrahy, Jie Shi, Rafael Ceschin, Marvin D. Nelson, Boris Gutman, Paul M Thompson and Natasha Lepore: Surface Multivariate Tensor-based Morphometry on Premature Neonates: A Pilot Study [pdf]
Erin Taber, Sarah Comstock, Kevin Grove and Christopher Kroenke: Measurement of water diffusion anisotropy within the nonhuman primate fetal cerebral cortex [pdf]
Panel discussion: summary and future areas of interest
Posters (download all the teasers in pdf)
Maria Murgasova, Gerardine Quaghebeur, Jo Hajnal and Julia Schnabel: Unified framework for superresolution reconstruction of 3D fetal brain MR images from 2D slices with intensity correction and outlier rejection
Ahmed Serag, Paul Aljabar, Gareth Ball, Vanessa Kyriakopoulou, Serena J. Counsell, James P. Boardman, Jo V. Hajnal and Daniel Rueckert: A 4D Atlas of the Developing Brain in Fetal MRI
Jue Wu, Suyash Awate, Daniel Licht, Brian Avants, Cedric Clouchoux, Adre Du Plessis, James Gee and Catherine Limperopoulos: Cortical Folding Measurement Is a Potential Indicator for Prenatal Brain Maturity
Laurent Risser, Francois-Xavier Vialard, Ahmed Serag, Paul Aljabar and Daniel Rueckert: Construction of Diffeomorphic Spatio-temporal Atlases using Karcher means and LDDMM: Application to Early Cortical Development
Ivana Isgum, Niek E. Van Der A, Floris Groenendaal, Linda S. De Vries, Manon J.N.L. Benders and Max A. Viergever: MRI-based delineation of perinatal arterial ischemic stroke
Jingxin Nie, Gang Li, Li Wang, John H. Gilmore, Weili Lin and Dinggang Shen: Computational Growth Model for Cortical Development in the First Year of Life
Francois Rousseau, Estanislao Oubel, Julien Pontabry, Colin Studholme, Meriam Koob and Jean-Louis Dietemann: An Open-Source Toolkit for Fetal Brain MR Image Processing
Kio Kim, Piotr Habas, Vidya Rajagopalan, Julia Scott, Francois Rousseau, A. James Barkovich, Orit Glenn and Colin Studholme: Robust 3D reconstruction from motion scattered multislice MRI using second order models and structure tensor weighted kernel regression