Ultrasound Assessment of Newborn Body Composition and Nutrition
In a project funded by Google and the Schiller Institute at Boston College, we are collaborating with Brigham and Women's Hospital (Boston) and Jimma University Medical Center (Ethiopia) to develop AI-enabled ultrasound methods for accurate, low-cost assessment of neonatal growth and nutrition. This work is in close partnership with the Boston College Connell School of Nursing (Prof. Park) and Department of Computer Science (Prof. Wei).
Ultrasound-Based Assessment of Maternal Nutrition and Health
With support from the Bill & Melinda Gates Foundation, we are working with Jimma University Medical Center in Ethiopia to develop AI-driven ultrasound tools that will ultimately enable affordable, accurate assessment of maternal body composition and nutritional status during pregnancy. This work is in close partnership with the Boston College Connell School of Nursing (Prof. Park) and Department of Computer Science (Prof. Wei).
Exploring Cutting-Edge AI/ML for Ultrasound Image Analysis
We are exploring artificial intelligence and machine learning (AI/ML) techniques for musculoskeletal ultrasound image segmentation, including self-supervised learning and foundation models.
New Approaches for Ultrasound Phantom Creation and Analysis
We are developing novel approaches to create musculoskeletal phantoms, with a particular focus on designs for newborn anatomy. Our methods aim to create low-cost solutions for generating high-quality data, particularly in situations where data is scarce, while also enabling scanning under a range of controlled conditions.
Ultrasound techniques for bioreactor monitoring
Our team is developing ultrasound techniques for monitoring bioreactor processes. Specifically, we are exploring how ultrasound can be used to track decellularization, recellularization, and cell proliferation in plant-based tissue scaffolds. This work is in close partnership with Prof. Gaudette and Prof. Salifu in the BC Department of Engineering.
Low-cost table-top ultrasound scanning systems for education
Funded by an Academic Technology Innovation Grant (ATIG) through the Boston College Academic Technology Advisory Board we are developing ultrasound scanning systems to promote student engagement in STEM courses and research. This work is in close partnership with Prof. Hira in the BC Department of Engineering and the BC Lynch School of Education (Prof. Smith).
Innovative Strategies for User Feedback and Guidance in Portable Ultrasound Imaging
Our team is exploring the use of built-in sensor data, such as inertial measurement units (IMUs), along with image-based feedback to guide clinical users and address challenges related to operator dependence in ultrasound imaging.
Ultrasound-Based Adiposity Assessment for Diabetes Prevention
We are studying how portable ultrasound systems can be used at the point of care to assess adiposity in Asian American populations as part of diabetes prevention efforts. This work is in close partnership with the Boston College Connell School of Nursing (Prof. Nguyen).
Ultrasound Elastography for Assessing Musculoskeletal Tissue Biomechanics
We utilize ultrasound elastography techniques to assess the biomechanics of musculoskeletal tissues.