Joseph Yuan-Chieh Lo
Professor of Radiology

My lab focuses on the diagnosis and treatment of breast cancer using advanced imaging techniques. There are 2 main projects: radiomics and breast modeling.

First, radiomics is an interdisciplinary field combining computer vision, machine learning, and informatics. We develop computer vision algorithms to detect suspicious mammographic lesions. We also created predictive models that use machine learning and statistical analysis in order to classify mammograms. In ongoing studies funded by NIH, DOD, and several other organizations, we are addressing the clinically significant challenge of over-diagnosis of DCIS. By exploring the relationship between imaging findings and genomic markers, we seek to predict which cases of DCIS are likely to be indolent vs. aggressive, thus providing women with more personalized risk assessment to inform their treatment decisions.  

Second, we are designing new virtual breast models that are based on actual patient data. These models go far beyond conventional phantoms in portraying realistic breast anatomy. Furthermore, we can transform these virtual models into physical form using the latest 3D printing technology. Such physical phantoms can be scanned on actual mammography and digital breast tomosynthesis systems, allowing us to assess image quality in new ways that are not only quantitative but also clinically relevant. We continue to refine the realism of these physical phantoms, and seek to develop new procedures for quality control, system evaluation, and the long term goal of virtual clinical trials.

Current Appointments & Affiliations

Contact Information

  • 2424 Erwin Road, Suite 302, Ravin Advanced Imaging Labs, Durham, NC 27705
  • Ravin Advanced Imaging Labs, 2424 Erwin Road, Suite 302, Durham, NC 27705
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