Multi-Modality Molecular Imaging of Breast Cancer
Michael F. Insana, Department of Bioengineering
Thomas Huang, Department of Electrical and Computing Engineering
Zhi-Pei Liang, Department of Electrical and Computing Engineering
Stephen Boppart, Department of Electrical and Computing Engineering, Colleges of Engineering and Medicine
Rohit Bhargava, Department of Bioengineering
These investigators and their collaborators are actively developing molecular imaging technologies for cancer imaging. Uniting and focusing their efforts — as this proposal outlines — will provide an opportunity to explore the vast potential of multi-modality molecular imaging, draw in clinical collaborators, and thus address cancer imaging more comprehensively. The investigators envision that molecular approaches will enable noninvasive imaging of key anatomical and functional features of breast tissues that indicate molecular pathways unique to specific disease states, and thereby improve the sensitivity and specificity. To reach this goal, this group will work to identify the most promising imaging feature space for diagnosis and then optimally combine those features for lesion discrimination.