On-going Projects
Improving the Accuracy of Breast Cancer Screening Using Contrast-Enhanced Digital Mammography and Novel Textural Analysis Tools
In the proposed study, our objective is to improve accuracy of breast cancer screening by applying textural analysis and machine learning to contrast-enhanced digital mammography (CEDM). Standard digital mammography often results in false positives that require...
Radiology Operational Efficiency
In radiology, several electronic Health Information Systems (HIS) are commonly used, including Electronic Health Records (EHR), Radiology Information Systems (RIS), and Picture Archive and Communication Systems (PACS). Each HIS records partial but complementary...
Multi-Modality Image Data Fusion and Machine Learning Approaches for Personalized Diagnostics and Prognostics of MCI due to AD
More than 5 million people in the US currently have Alzheimer’s Disease (AD), and the number is expected to increase to 16 million by 2050. The direct health care cost is over $200 billion per year and projected to reach $1.2 trillion by 2050. Recent clinical trials...
Toward New Classification Criteria for Mild and Moderate Traumatic Brain Injury by a Data-Inclusive Cross-Study Analysis using FITBIR
Project Summary/Abstract Traumatic brain injury (TBI) is amongst the leading causes of death and disability in the United States and Worldwide. Each year in the United States, there are an estimated 1.7 million TBIs, resulting in 52,000 deaths, 275,000...
Accurate Classification of Chronic Migraine via Brain Magnetic Resonance Imaging
Mayo Collaborators: Todd J. Schwedt, M.D, Catherine D. Chong, Ph.D The International Classification of Headache Disorders provides criteria for the diagnosis and subclassification of migraine. Since there is no objective gold-standard by which to test these diagnostic...
Developing Quantitative Models for Linking Radiation Treatment Options with Clinical Outcomes
Mayo Collaborator: Mirek Fatyga, Ph.D. Radiobiological modeling of a likelihood of treatment outcome is a tool that enables quantitative analysis of tradeoffs inherent in the practice of radiation therapy. Common examples of such tradeoffs are increasing treatment...