Projects

Medical Imaging and Radiology Informatics (MIRI)

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 Enhencement (DDIE)

Nanomedicine and nanobiomedical imaging (NMNI)

Knowledge-based CAD for breast imaging (KCBI)

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 © 2005-2009 Laboratory of Medical Imaging High Performance Computing & Informatics; www.uiowa.edu/mihpclab/

 

Description

Knowledge-based CAD for Breast Imaging (KCBI)

Team members: Lifeng Zhang, Zhuli Gong, Ying Chen, Lu Zhang, Jun Ni, Laurie Fajardo

Today, breast cancer is the most prevalent form of cancer in women. Through regular mammographic screening, the mortality of breast cancer can be reduced significantly due to early detections. However, it is often a tough task and challenge for radiologists to provide an accurate diagnostics in an enormous number of c within a relatively short period of time, especially for developing counties. People begin to utilize computer-aided detection (CAD) to assist radiologists in regular mammographic screening improving diagnostic efficiency and accuracy.

Sub-projects:

Bread imagign in architectural distortion

Breast Imaging in deformation

Breast Imaging in calcification

Literatures in Breast Image Detection of Breast Imaging Calcification