Welcome to the Orthopedics Engineering and 3D musculoskeletal Imaging Lab
Orthopedic Engineering lab at Perelman School of Medicine, University of Pennsylvania explores method for patient specific treatment with an aim to optimizes the treatment outcomes. Our research uses quantitative and analytical tools to study the underlying mechanism associated with development, progression, and treatment outcomes of the musculoskeletal conditions. Our lab uses multi-modal medical imaging, numerical simulation, machine learning and artificial intelligence, and mathematical and statistical modeling to identify subtle differences in the current stage and progression pattern of disease. In collaboration with Orthopedic surgeons, our research outcome recommend treatment options and predict possible outcomes.
The orthopedic engineering lab, headed by Dr Saba Pasha, PhD, focuses on several projects related to pediatric orthopedics medical device design, software development, end to end image processing for diagnosis, and establishing quantitative guidelines for treatment outcome prediction using machine learning and artificial intelligence. This effort brings together scientists and physicians from several national and international universities and hospitals.
Our research is partially funded by national and international foundations and associations such as National institute of Health (NIH), Scoliosis Research Society, Pediatric Orthopedics of North America, and medical device companies.
Research position in deep learning in medical imaging (radiographs) is available. See more details in Positions and Projects.
Our lab received research funds from NIH to study adolescent idiopathic scoliosis pathogenesis and surgical planning.
Our new findings leads to better understanding the underlying mechanism of the pediatric scoliosis development.