In this study, we aim to implement novel technical optimizations to improve breast cancer detectability on DWI in women with dense breasts. Results of this study will provide valuable information as to the potential of using DWI as a screening tool that complements x-ray mammography and is faster, less expensive, and safer than DCE MRI for earlier detection of malignancy in women with dense breasts.
The objective of this project is to develop robust advanced multiparametric breast MRI markers to characterize DCIS risk prior to tissue sampling. Successful results of this study could lead to a decrease in unneccessary biopsies of calcifications and provide accurate assessments of DCIS risk of progression to invasive disease and recurrence after treatment.
The goal of this research is to improve breast cancer treatment by identifying novel imaging markers of tumor immune response. Exciting advances in immunotherapeutic treatment approaches increase the need for new tools to quantify response and assess treatment efficacy in vivo.
Diffusional exchange of water between micro-environments with different apparent diffusivities, e.g. intra- and extra-cellular space, can be quantified by filter exchange imaging (FEXI). In cell suspensions, the apparent exchange rate (AXR) measured by FEXI is closely related to permeability of cell membranes. AXR may therefore provide a unique assessment of tissue organization and physiology, and constitute a valuable new biomarker for breast lesion characterization.
CESM (contrast-enhanced spectral mammography) and ABMR (abbreviated breast MRI). The purpose of this study is to learn if two new breast cancer screening tests are effective in detecting breast cancer. If these tests are similar to standard breast MRI, they may offer additional screening options at lower cost for more women.
Breast MRI is the most sensitive modality for detecting breast cancer, but suffers from high costs, low specificity, and high benign biopsy rate. The goal of this work is to determine whether a deep learning approach can improve specificity while maintaining high sensitivity for detecting cancer on breast MRI.
Research internships are available for students interested in science, engineering or medical
careers. Computer programming experience helpful but not required. Successful students
will co-author conference abstracts and scientific journal publications of their work.
Hours are flexible, with minimum of 6+ hours/week and 6 month commitment. Positions are
available throughout the year.
Job duties include: