Annual Seminar on Molecular Imaging of Infectious Diseases started three years ago and this year, it was held in Johns Hopkins University, School of Medicine, and chaired by Dr Sanjay Jain.
I was also one of the plenary speakers in this symposium, and I am glad to be a part of this community who encourages the use of imaging technology in infectious diseases. As a chief scientist and lab manager of Center for Infectious Disease Imaging (CIDI) at NIH, one of my research aims is to provide quantitative information extracted from imaging data to the radiologists and clinicians for their diagnostics tasks.
Imaging patterns pertaining to the infectious diseases (in general) are different from the ones from cancer. Therefore, it is important to develop unique image processing and analysis techniques so that quantitative radiology comes into play for accurate, precise, and efficient diagnostic and evaluation systems.
Here is the link for the symposium webpage: http://www.hopkinsmedicine.org/Medicine/id/centers/infection_inflammation_imaging/seminar3
and here, you can find my talk (powerpoint, but movies are not there unfortunately):
We also have the following two abstracts presented during the symposium. The first one is presented by my postdoc Dr Awais Mansoor, and the second one was from our collaborator Brian Luna.
Texture-based Automatic Pathology Quantification for Respiratory Tract Infection. A.Mansoor, U.Bagci, B.Foster, Z.Xu, and D.J. Mollura. The Third Annual Seminar on Molecular Imaging of Infectious Diseases 2013.
In vivo Prediction of Tuberculosis Cavity Formation. B.Luna, A.Kubler, C.Larsson, B.Foster, U.Bagci, D.J. Mollura, S.Jain, and W.Bishai. The Third Annual Seminar on Molecular Imaging of Infectious Diseases 2013.