Welcome to LESSON (Less-On) Lab

Medical physics beginning with the discovery of X-rays in the 1890s is a field of applied physics that utilizes physics principles, knowledge, and methods to the prevention, diagnosis, and treatment of human diseases to enhance human health and well-being in practice and research.  Medical physics has been closely associated with X-ray photon and electron radiation therapy on linear accelerators. To help improve therapeutic accuracy, it deals with a variety of medical imaging modalities, such as computed tomography (CT), positron emission tomography (PET), magnetic resonance imaging (MRI), and Ultrasound. It is believed that medical physics is entering a renaissance era with the rise of particle radiation therapy, and artificial intelligence (AI) - machine learning and deep learning. The rapid transition requires medical physicists and researchers to have a concrete understanding of complicated techniques and knowledge behind such advances. 

LESSON lab is a research group specializing in medical physics, and our primary focus is on tackling the complex challenges that arise in the context of radiation treatment and associated treatment-preparation activities. To be more specific, we are interested in constructing efficient, automated pathways by turning something less on (lesson), and finding optimal solutions by combining appropriate objectives and constraints with the aid of learning-based approaches and computational optimizing algorithms. We are currently developing 1) treatment plan optimization algorithms for the new therapeutic modalities, 2) new learning-based networks for medical image processing, and 3) outcome predictive models in relation to radiotherapy treatment. 

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