Projects

Medical Imaging and Radiology Informatics (MIRI)

SoSE for Integrating Health Environment (SoSiHe)

Medical Imaging Information System (MIIS)

Parallel Computing for Medical Imaging (PCMI)

Modeling of Biotransport in Biological Systems (MBBS)

Optical Imaging Tomography and Applications (OITA)

Stereological Analysis and Tumor Volume Metrics (SATVM)

Stereotactic Atlas for the Anatomic Topology (SAAT)

Coupled Diffusions for Image Enhancement (DDIE)

Nanomedicine and nanobiomedical imaging (NMNI)

Knowledge-based CAD for breast imaging (KCBI)

Digital Breast Tomosynthesis (DBT) and Molecular Breast Imaging (MBI)

Green HPC for Medical Imaging (GHMI)

 

Imaging Informatics in Space Medicine (IISM)

Grid-based Medical Imaging System (GMIS)

Cyberinfrastructure for Medical Imaging Informatics (CMII)

Medical Image Informatics Education (MIIE)

Nanomedicine and nanobiomedical imaging (NMNI)

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Description

System of Systems Engineering (SoSE) for Integrating the Healthcare Environment (SoSIHE)
(2011-2013)

Dr. Jun Ni1, Yanghe Feng1, Dr. Mo Jamishidi2
1Department of Radiology, College of Medicine, University of Iowa, USA
2Department of ECE, Univ. of Texas, San Antonia, USA

System of Systems becomes an emergent technology to engineering a system which composed of multi-systems. The system of systems concept has been recently used widely in many fields including energy, transportation, military, aerospace science, environmental science, and disaster prediction etc. This project intends to employ the system of systems (SoS) engineering principles and simulation technology to experiment for the integrating the healthcare environment and today's net-centricity, information driven, integrated healthcare systems.

In such system, networking, grid and could computing, especially social behavior studies become important. We would like to conduct the following studies:

  1. Doing a large numbers of literature reading and writing a research report on the topics of healthcare information systems integrations including networking, distributed computing, grid computing, especially behaviors of systems and systems modeling;
  2. Realizing some popular algorithm of complex networks and multi-agents and summarizing these algorithm for global level healthcare medical data sharing and healthcare information systems
  3. Learning some popular algorithm of machine learning on general graph structures, hierarchical structure models to study the methods for analyzing the network structure at varying levels of resolution; The machine learning and artificial intelligent algorithms will be used in data mining and stochastic modeling and simulations for intelligent network systems in healthcare environments
  4. Learning some methods of multi-scale information system simulations and parallel discrete-event simulations using supercomputing and large-scale medical data intensive computing
  5. Learning some methods of multivariate time-varying statistics to analyze the network evolves and large-scale emergent behavior changes in healthcare systems; especially in spatial-temporal behaviors study including emergent and immune, and self-organizations in patients electronic record security protection. Design an efficient algorithm for group and organization activities dynamics, especially dynamic and social networks using systems dynamics theory and computational thinking mechanism.