International Workshop on
Multimodal Brain Image Analysis (MBIA)
In conjunction with MICCAI 2011, 18th to 22th September 2011 in Toronto, Canada

 

Congratulations to Xue Yang whose paper "Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging " won the Best Paper Award !

Thanks to Dr. Dinggang Shen whose lab provided the $500 award !

The proceedings of MBIA 2011 (LNCS 7012) is published online at: http://www.springer.com/computer/image+processing/book/978-3-642-24445-2

 

MBIA 2011 Program

8:30-8:45 Opening Remarks & Announcements

8:45-9:45 Keynote Speech: Carl-Fredrik Westin (Harvard Medical School)

Oral Session 1 on Multimodal Fusion. Chair: Bertrand Thirion (INRIA)

9:45-10:00

Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging

Xue Yang (Vanderbilt University)
Carolyn Lauzon (Vanderbilt University)
Ciprian Crainiceanu (Johns Hopkins University)
Brian Caffo (Johns Hopkins University)
Susan Resnick (National Institutes of Health)
Bennett Landman (Vanderbilt University)

10:00-10:15

Joint T1 and Brain Fiber Diffeomorphic Registration using the Demons

Viviana Siless (Neurospin)
Pamela Guevara (Neurospin)
Xavier Pennec (INRIA)
Pierre Fillard (Neurospin)

10:15-10:30

Improving Registration Using Multi-Channel Diffeomorphic Demons Combined with Certainty Maps

Daniel Forsberg (Linköping University)
Yogesh Rathi (Harvard Medical School)
Sylvain Bouix (Harvard Medical School)
Demian Wassermann (Harvard Medical School)
Hans Knutsson (Linköping University)
Carl-Fredrik Westin (Harvard Medical School)

10:30-10:45 Coffee Break

Oral Session 2 on Brain Science Applications. Chair: Li Shen (Indiana University)

10:45-11:00

Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net

Li Shen (Indiana University)
Sungeun Kim (IU School of Medicine)
Yuan Qi (Purdue University)
Mark Inlow (Indiana University)
Shanker Swaminathan (Indiana University)
Kwangsik Nho (Indiana University)
Jing Wan (Indiana University)
Shannon Risacher (Indiana University)
Les Shaw (UPenn)
John Trojanowski (UPenn)
Mike Weiner (UCSF)
Andrew Saykin (Indiana University)

11:00-11:15

Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins (Invited Paper)

Yan Jin (UCLA)
Yonggang Shi (UCLA)
Shantanu Joshi (UCLA)
Neda Jahanshad (UCLA)
Zhan Liang (UCLA)
Greig de Zubicaray (University of Queensland, Australia)
Katie McMahon (University of Queensland, Australia)
Nicholas Martin (Queensland Institute of Medical Research, Australia)
Margaret Wright (Queensland Institute of Medical Research, Australia)
Arthur Toga (UCLA)
Paul Thompson (UCLA)

11:15-11:30

Ordinal Ranking for Detecting Mild Cognitive Impairment and Alzheimer’s Disease Based on Multimodal Neuroimages and CSF Biomarkers (Invited Paper)

Yong Fan (Chinese Academy of Sciences)

11:30-11:45

Manual annotation, 3-D shape reconstruction, and Traumatic Brain Injury analysis

Lyubomir Zagorchev (Philips Research)
Arthur Goshtasby (Wright State University)
Keith Paulsen (Dartmouth College)
Thomas McAllister (Dartmouth College)
Stewart Young (Philips Research)
Juergen Weese (Philips Research)

11:45-12:00

Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer’s Disease

Daoqiang Zhang (University of North Carolina, Chapel Hill)
Dinggang Shen (University of North Carolina, Chapel Hill)

12:00-13:00 Lunch
13:00-14:15 Poster Session (in combination with MLMI 2011)

Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures

Degang Zhang (Northwestern Polytechnical University)
Lei Guo (Northwestern Polytechnical University)
Dajiang Zhu (University of Georgia)
Tuo Zhang (Northwestern Polytechnical University)
Xintao Hu (Northwestern Polytechnical University)
Kaiming Li (Northwestern Polytechnical University)
Fan Deng (University of Georgia)
Xi Jiang (University of Georgia)
Hanbo Chen (University of Georgia)
Qun Zhao (University of Georgia)

T1 mapping, AIF and Pharmacokinetic Parameter Extraction from Dynamic Contrast Enhancement MRI Data

Gilad Liberman (Bar Ilan University, Israel)
Yoram Louzoun (BIU)
Olivier Colliot (UPMC)
Dafna Ben Bashat (TASMC)

Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients

zhaojin gong (Nanjing University of Science and Technology)
Jianfeng Lu (Nanjing University of Science and Technology)
Jia Chen (Nanjing University of Science and Technology)
Yaping wang (Northwestern Polytechnical University, UNC Chapel Hill)
Yixuan Yuan (Northwestern Polytechnical University)
Tuo Zhang (Northwestern Polytechnical University)
Lei Guo (Northwestern Polytechnical University)
Stephen Miller (University of Georgia)

Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images

Li Wang (UNC at Chapel Hill)
feng Shi (UNC at Chapel Hill)
Pew Thian Yap (UNC at Chapel Hill)
John H Gilmore (UNC at Chapel Hill)
Weili Lin (UNC at Chapel Hill)
Dinggang Shen (UNC at Chapel Hill)

Oral Session 3 on Statistical Methods. Chair: Moo K. Chung (University of Wisconsin-Madison)

14:15-14:30

Two-stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data (Invited Paper)

Yimei Li (St Jude Children)
John H Gilmore (UNC, Chapel Hill)
Jiaping Wang (UNC, Chapel Hill)
Martin Styner (UNC, Chapel Hill)
Weili Lin (UNC, Chapel Hill)
Hongtu Zhu (UNC, Chapel Hill)

14:30-14:45

Segmentation of Medical Images of Different Modalities Using Distance Weighted C-V Model (Invited Paper)

Xiaozheng Liu (ECNU)
Wei Liu (ECNU)
Xu Yan (ECNU)
Yongdi Zhou (Johns Hopkins Univ.)
Brad Peterson (Columbia University)
Dongrong Xu (Columbia University)

15:00-15:15

Evaluation of Traumatic Brain Injury patients using a shape-constrained deformable model

Lyubomir Zagorchev (Philips Research)
Carsten Meyer (Philips Research)
Thomas Stehle (Philips Research)
Reinhard Kneser (Philips Research)
Stewart Young (Philips Research)
Juergen Weese (Philips Research)

15:15-15:45 Coffee Break

Oral Session 4 on Methodology Fusion. Chair: Christos Davatzikos (UPenn)

15:45-16:00

Human Brain Mapping with Conformal Geometry and Multivariate Tensor-based Morphometry (Invited Paper)

Jie Shi (Arizona State University)
Paul Thompson (UCLA)
Yalin Wang (Arizona State University)

16:00-16:15

Information-Theoretic Multi-Modal Image Registration Based on the Improved Fast Gauss Transform: Application to Brain Images

Ziga Spiclin (Univerza v Ljubljani)
Bostjan Likar (Univerza v Ljubljani)
Franjo Pernus (Univerza v Ljubljani)

16:30-16:45

Simultaneous Brain Structures Segmentation Combining Shape and Pose Forces

Octavian Soldea (Philips Research)
Trung Doan (Leiden University Medical Center)
Andrew Webb (CJ Gorter center for High Field MRI, Leiden University)
Mark van Buchem (Department of Radiology, Leiden University Medical Center)
Julien Milles (Department of Radiology, Leiden University Medical Center)
Radu Jasinschi (Philips Research)

16:45-17:00

Improved tissue segmentation by including an MR acquisition model

Dirk Poot (Erasmus MC)
Marleen de Bruijne (Erasmus MC)
Meike Vernooij (Erasmus MC)
Arfan Ikram (Erasmus MC)
Wiro Niessen (Erasmus MC)

17:00 - 17:15 Award announcement and closing remarks

Submission Guidelines

Submission deadline is extended to June 20th, 2011!

Notification of Acceptance is extended to July 25, 2011!

A Best Paper Award will be awarded!

We are in discussion with a peer-reviewed journal for a special issue on MBIA 2011!

Proceedings: We will publish the proceedings in Springer Lecture Notes in Computer Science (LNCS) series (EI, ISTP indexed).

Paper Formatting: Papers should be formatted in Lecture Notes in Computer Science style and be limited to eight pages. This is similar to the MICCAI main conference format. Please refer to: http://www.miccai2011.org/paper-submission-guidelines.

Blind review: MBIA review 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 details.

Submission: Please submit online: https://cmt.research.microsoft.com/MBIA2011

Simultaneous submissions: When submitting a paper, authors implicitly acknowledge that NO paper of substantially similar content has been or will be submitted elsewhere until decisions are made from MBIA.

Camera-ready Submission: Details are to be followed.

 

Introduction

Scope
Noninvasive multimodal brain imaging techniques including structural MRI, diffusion tensor imaging (DTI), perfusion MRI, functional MRI (fMRI), EEG, MEG, PET, SPECT, and CT are playing increasingly important roles in elucidating structural and functional properties in normal and diseased brains. It is widely believed that multiple imaging modalities provide complementary and essential information to understand the brain. Meanwhile, significant challenges arise in processing, fusing, analyzing, and visualizing multimodal brain images due to wide ranges of imaging resolutions, spatial-temporal dynamics, and underlying physical and biological principles.

The objective of this MBIA workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications. We hope that MBIA workshop can become a forum for researchers in this field to exchange ideas, data, and software, in order to speed up the pace of innovation in applying multimodal brain imaging techniques to testing hypotheses and to data-driven discovery brain science.

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Academic Objectives
The academic objectives of this MBIA workshop include: 1) Bring together researchers in brain imaging, image analysis, neuroscience, and clinical application communities to share ideas, algorithms, data and code, and promote research results achieved in this field to neuroscience and clinical applications. 2) Stimulate thoughts and exploration in new application scenarios, interactions with other related fields, and novel paradigms of multimodal image analysis. The MICCAI-MBIA 2011 will feature a single-track workshop with keynote speakers, technical paper presentations, and poster sessions.

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Call for Papers

Papers will be limited to eight pages and formatted for double-blinded review. All submissions will be peer-reviewed by at least 2 members on the program committee. Paper selection will be based on methodology innovation, technical merit, results, validation, reproducibility, and application potential. It is planned to be a day-long workshop in a single track format with invited presentations and oral sessions. If an enough number of quality submissions are received, we will introduce poster sessions to accommodate further discussions. Publication of electronic proceedings will be arranged with consultations from editors of Springer LNCS series. We will approach a top international journal on medical imaging to publish a special issue that includes best papers from the workshop. We will present the Best Paper Award to an outstanding paper, and will present a Best Reproducible Award to a paper in which the results are excellently reproducible.

Topics include but are not limited to:

  • Multimodal brain data fusion methodologies, e.g., fusion of DTI and fMRI data, fusion of fMRI and EEG data, and fusion of MRI and PET data.
  • Methods that model temporal brain dynamics, e.g., modeling brain states via fMRI and/or EEG data.
  • Structural and functional brain network construction methods, e.g., identification and optimization of network nodes, assessment of graph properties of structural networks, and graph models for description of structural and functional brain networks.
  • Brain connectivity analysis methods, e.g., joint modeling of structural and functional brain connectivities, relationship between structural and functional connectivities, and dynamics of functional connectivity.
  • Multimodal brain image pattern classification methods, e.g., classification of brain diseases via multimodal features, feature extraction and dimension reduction using multimodal images, and multimodal image predictors of clinical parameters.
  • Multimodal brain image visualization and management methods, e.g., visual analytics of multimodal image data and visualization of large-volume, dynamical multimodal image data.
  • Registration, segmentation, shape analysis, and signal processing methods, e.g., multimodal image registration, multi-parametric image segmentation, and multi-resolution signal processing.
  • Validation approaches and benchmark data generation in multimodal image analysis, e.g., cross-validation via multiple image modalities and generation of benchmark data via reproducibility studies.
  • Clinical application, e.g., computer aided diagnosis and follow-up of brain diseases via multimodal images, early diagnosis of brain diseases via multimodal images, and differential diagnosis of brain diseases via multimodal images.

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Program Agenda

Agenda
We propose to hold a day-long workshop following the agenda below:

8:00am - 8:30amBreakfast
8:30am - 8:45amWelcome
8:45am - 9:45amPlenary Session (invited talk 1)
9:45am - 10:00amCoffee break
10:00am -12:00pmOral Session 1
12:00pm - 1:00pmLunch
1:00pm - 2:00pmPlenary Session (invited talk 2)
2:00pm - 3:15pmPoster Session
3:15pm - 3:30pmCoffee break
3:30pm - 5:30pmOral Session 2
5:30pm - 5:45pmClosing remarks

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Important Dates

  • Deadline for submission: June 20, 2011
  • Notification of Acceptance: July 25, 2011
  • Camera-ready Papers Due: August 5, 2011
  • Workshop registration due: August 14, 2011
  • Workshop date: September 18, 2011

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People

Workshop Organizers
Tianming Liu
Assistant Professor
Department of Computer Science & Bioimaging Research Center
The University of Georgia
Boyd GSRC 420
Athens, GA 30602
Phone: 706-542-3478
Email: tliu@uga.edu
Web: http://www.cs.uga.edu/~tliu

Dinggang Shen
Associate Professor
School of Medicine
University of North Carolina at Chapel Hill
Phone: (919) 966-3535
Email: dgshen@med.unc.edu
Web: http://www.med.unc.edu/~dgshen/

Luis Ibanez
Technical Leader
Kitware
Email: luis.ibanez@kitware.com
Web: http://www.kitware.com/company/team/ibanez.html

Xiaodong Tao
GE Global Research
Email: taox@research.ge.com
Web: http://ge.geglobalresearch.com/

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Program Committee

  • John Ashburner, UCL, UK
  • Christian Barillot, IRISA Rennes, France
  • Vince Calhoun, University of New Mexico, US
  • Gary Christensen, University of Iowa, US
  • Christos Davatzikos, UPenn, US
  • Rachid Deriche, INRIA, France
  • Atam Dhawan, New Jersey Institute of Technology, US
  • James Gee, UPenn, US
  • Xiujuan Geng, UNC-Chapel Hill, US
  • Guido Gerig, University of Utah, US
  • Lei Guo, Northwestern Polytechnic University, China
  • Bin He, University of Minnesota, US
  • Dewen Hu, National University of Defense Technology, China
  • Xiaoping Hu, Emory University, US
  • Tianzi Jiang, Chinese Academy of Science, China
  • Simon K Warfield, Harvard Medical School and Boston Children's Hospital, US
  • Jerry Prince, Johns Hopkins University, US
  • Daniel Rueckert, Imperial College London, UK
  • Li Shen, Indiana University School of Medicine, US
  • Feng Shi, UNC-Chapel Hill, US
  • Paul Thompson, UCLA, US
  • Carl-Fredrik Westin, Harvard Medical School, US
  • Guorong Wu, UNC-Chapel Hill, US
  • Pew-Thian Yap, UNC-Chapel Hill, US
  • Gary Zhang, UCL, UK

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