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)

Grant Opportunities

Copyright © 2005-2011 Laboratory of Medical Imaging High Performance Computing & Informatics; www.uiowa.edu/mihpclab/

 

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

Dr. Laurie Fajardo, MD, Dr. Jun Ni, Ph.D., Yanno Li, MS, Radiology, Carver College of Medicine, University of Iowa, USA

Digital Breast Tomosynsthesis (DBT) is a digital processing (synthesis)on tomography for breast imaging. Instead of obtaining fixed images of compressed breasts, it acquiring sequential images of a stationary compressed breast at multiple angles. during short scan. These images are then reconstructed into a series of high resolution slices and then displayed either individually or 3D interactively.

DBT has great potentials in screening and diagnostic breast imaging, mainly reducing recall rate in screening mammography, improving detection of abnormalities in women with dense breast tissue, reducing the number of negative biopsies and improving diagnosis, and assessing therapeutic efficiency.

Molecular Breast Imaging (MBI) is also a new screening technique. It enables to detect few more times as many cancers as mammography. It gives equivalent specificity and a higher positive predictive value.