[Insight-users] Summer School on Medical and Molecular Imaging, and BioInformatics

[Luis Ibanez]

Summer School on Medical and Molecular Imaging, and BioInformatics

Lipari, Italy: July 11-18 2009

WEBSITE: http://lipari.dipmat.unict.it/LipariSchool/CS





The Twenty-first International School for Computer Science Researchers 
addresses PhD students and young researchers who want to get exposed to 
the forefront of research activity in the field of Molecular and Medical 
Imaging. The school will be held in the beautiful surroundings of the 
Island of Lipari.



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List of speakers



Nicholas Ayache

Research Director at INRIA Sophia-Antipolis, France



Mike Brady

Professor of Information Engineering, University of Oxford



Jim Duncan

Professor of Biomedical Engineering, Yale University, CT



Roger Gunn

Director, Molecular Image Analysis at GSK, UK



Richard M. Leahy

Signal and Image Processing Institute,University of Southern California



Gene Myers

Howard Hughes Medical Institute, Ashburn, VA



Daniel Rueckert

Professor of Visual Information Processing, Imperial College, London



Julia Schnabel

Medical Vision Laboratory, University of Oxford



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Directors



Prof. Mike Brady, (University of Oxford), Co-Chair

Prof. Roberto Cipolla, (University of Cambridge), Co-Chair

Prof. Alfredo Ferro, (University of Catania), Co-Chair

Prof. Giovanni Gallo, (University of Catania), Co-Chair

_________



Topics covered by the School: http://lipari.dipmat.unict.it/LipariSchool/CS/



Nicholas Ayache Lectures



1.         Cortex Variability from sulcal lines extracted from a 
database of MR images

2.         Tumor growth from time series of MR images and 
physiopathological models

3.         Cardiac function from images and physiological models

4.         Mosaicing of/ in vivo/ microscopic images



Mike Brady Lectures



1.         Feature detection and density estimation in medical image 
analysis

2.         Image analysis in colorectal and liver cancer

3.         Some aspects of molecular imaging: glycolysis, hypoxia, and 
optical image analysis



Jim Duncan Lectures



1.         Recovery of Soft Tissue Deformation from Medical Images 
(mainly work on the Left ventricle of the heart and brain shift in 
epilepsy surgery)

2.         Geometric Strategies for Neuroanatomic Analysis from MRI 
(mostly different approaches for cortical + subcortical segmentation)

3.         fMRI Analysis Using Prior Information

4.         Registration and plan updating for Image Guided Intervention 
(primarily for Epilepsy, Neurosurgery and/or Prostate Radiotherapy).



Roger Gunn Lectures



1. Physics, Biology and Modelling Precursors for PET Molecular Imaging

         - Physics

         - Biology

         - Modelling

                 -Spatial Processing

                 -Input Functions



2. Quantitative Analysis of Dynamic PET Molecular Imaging Studies

         - Tracer Compartmental Modelling

         - Reference Tissue Approaches

         - Basis Function Approaches



3. Development and Validation of CNS PET Molecular Imaging Probes

         - What kind of properties does one need

         - Experiments to do to validate probes

         - Examples

         - Biomathematical modelling approaches



4. Application of PET Molecular Imaging to CNS Drug Development

         - The drug discovery and development process

         - Biodistribution Studies

         - Occupancy Studies



Richard Leahy Lectures



1. Image Estimation for Molecular Imaging 1: Statistical and physical 
models and Bayesian estimation

2. Image Estimation for Molecular Imaging 2: Image analysis and detection

3. Mapping brain function with magnetoencephalography (MEG) 1: forward 
models and inverse methods

4. Mapping brain function with magnetoencephalography (MEG) 2: 
detecting and modeling cortical interactions and networks



Gene Myers Lectures



Arguably the most significant contribution of the human genome project 
is that we can now build a recombinant construct of every gene and every 
promotor in C. elegans (worm), D. melanogaster (fly), M.  musculus 
(mouse), and H. sapiens (human).  These include fluorescent proteins and 
other markers that can be induced at controlled time points via a change 
in temperature, light, or chemistry.  Combined with tremendous advances 
in light and electron microscopy in recent years, I believe we are now 
poised to visualize the meso-scale of the cell, and the development 
small organs (e.g. a fly's brain) and organisms (e.g. the worm) at the 
resolution of individual cells.



These advances will require new imaging and data-mining methods for what 
I call "imaging bioinformatics".  Many of the problems resemble those 
that arising in medical imaging but at a different scale and resolution. 
Toward this end, my group is working on a number of imaging projects 
along these lines.  These include (a) the biophysica of mitosis, (b) 
studies of gene expression in individual cells within the worm C.

elegans, (c) a detailed reconstruction of a fly's brain including it 
developmental partitioning into linages, and (d) a high-throughput 
microscope to image the volume of an entire mouse brain at 1 micro 
resolution (4.2 trillion voxels) in less than a week. I will spend my 
lectures introducing the relevant biological background and the nature 
of the computational problems, as well as going into some detail on the 
major methods we employ to solve these problems.



Daniel Rueckert and Julia Schnabel Lectures



1. Non-rigid registration I: Theory and Methods

2. Non-rigid registration II: Advanced Methods and Validation

3. Cardiac and respiratory motion modeling using registration

4. Neurological image analysis using registration





Reading Group

Prof. Mike Brady will lead the session marked "Reading", which will be 
based on the weekly reading seminar he has lead in Oxford for the past 
20 years.  The students will be assigned a paper in advance of arriving 
in Lipari and will be expected to have read it thoroughly.  They should 
be prepared to explain the content, either in broad outline, or on 
detailed points, to all the rest of the students.