MICCAI 2006 Workshop |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
From Statistical Atlases to Personalized Models:
|
This MICCAI 2006 workshop will feature a discussion of recent advances in statistical atlases for biomedical research as well as in image-based physiological modeling and simulation for diagnosis and treatment design. These areas are already playing and will continue to play an increasing role in biomedical research, diagnosis and treatment delivery. Over the last decade we have observed a spur of research efforts and funding directed toward the construction of populational anatomical and functional statistical atlases of several organs to underpin modern investigation into complex diseases. Brain atlases, for instance, are currently a standard tool in neuroimaging studies targeted to quantify differences among and understand factors present in subjects with schizophrenia and Alzheimer's disease, et cetera. These atlases allow analyzing population differences in morphology and function as observed through modern imaging techniques. Similar efforts have more recently been started in building atlases in the cardiovascular domain or the cerebral vasculature. |
A second thread of research has more recently targeted the construction of image-based modeling and simulation tools for personalized diagnosis, risk assessment, and customized treatment design. The convergence of computational imaging and computational physiology can be the basis for new virtual imaging modalities and also for in-silico understanding of complex diseases. The former can provide tools for extracting anatomical information, measuring personalized boundary conditions, and estimating material parameters from biomedical signals and images. The latter will contribute with models of the biophysical processes taking place at various observational levels and will pave the way for making predictions and exploring alternative treatment strategies. The workshop will stimulate contributions at the cross-road of physics, biology, physiology, biomedicine, applied mathematics, computer science and engineering, all of which with clear connections to computational imaging. |
Alejandro Frangi Ramón y Cajal Research Fellow, Ph.D. Computational Imaging Lab Pompeu Fabra University Barcelona, Spain alejandro.frangi 'at' upf.edu |
Hervé Delingette Research Director, Ph.D. INRIA - Project EPIDAURE Sophia-Antipolis, France Herve.Delingette 'at' inria.fr |
Mikkel B. Stegmann Assistant Professor, Ph.D. Informatics and Mathematical Modelling Technical University of Denmark Kgs. Lyngby, Denmark mbs 'at' imm.dtu.dk |
8:00 | - | 9:00 | Registration |
8:45 | - | 9:00 | Workshop Opening |
9:00 | - | 9:40 | Invited Lecture: Computational Hemodynamics and Vascular Disease: From Pretty Pictures to Hypothesis Testing. David Steinmann. |
9:40 | - | 10:40 | Physiological modelling, simulation and integrative perspectives |
10:40 | - | 11:00 | Coffee break & Poster session: Methods |
11:00 | - | 12:00 | Statistical Atlases of Structure and Function I: Oncology |
12:00 | - | 13:30 | Lunch |
13:30 | - | 14:10 | Invited Lecture: TBD |
14:10 | - | 15:10 | Statistical Atlases of Structure and Function II: Neurology |
15:10 | - | 15:30 | Coffee break & Poster session: Applications |
15:30 | - | 16:30 | Statistical Atlases of Structure and Function III: Cardiology |
16:30 | - | 16:45 | Adjourn |
The paper will be reviewed in double-blind fashion (authors and reviewers have no information about the other). The authors thus have to ensure that their submitted document is anonymous by complying with the following guidelines: