Projects are developed using the Anaconda (Python) environment, which enables efficient algorithm development and testing. Our lab has a strong focus on Neuropathology (e.g., Stroke, Brain Tumors, Sodium-ion Imbalances) in this setting the use of advanced image reconstruction techniques such as Anatomically-Guided Reconstructions (AGR) enables techniques such as sodium MRI to be used within the confines of a clinical environment to answer questions about pathophysiology that are not properly addressed using conventional MRI techniques (e.g., tumor proliferation). Overview of lab work : Our lab focuses on the development of image acquisition and reconstruction technologies for providing physiological information for the brain that cannot currently be provided using state-of-the-art conventional MRI and/or PET imaging techniques. Specific, short-term, applications include brain tumors, Alzheimer’s disease and Stroke. Project Title: Anatomically-Guided Image Reconstruction Project Description: The goal of the project is to develop the first prototype of an artificial intelligence (AI) application to provide improved resolution and sensitivity for physiologically-based brain scans (e.g., sodium MRI, Amyloid PET scans) using the information from high-resolution MRI scans as a constraint. Type of laboratory research: Image Reconstruction Algorithm Development (Dry Lab). Familiarity with Python, Matlab, or C++ programming languages. Suitable for students with EE, BioE, Physics, CS, or similar backgrounds. Seeking highly motivated students enthusiastic about research. Possible lab projects include developing advanced CT acquisition methods, 3D printing of realistic anatomy, or evaluating a novel dual-layer x-ray detector. Possible computational projects include using AI to improve CT image quality, simulating novel CT systems, or optimizing CT for radiation dose and image quality. The REU project will be customized to the student’s skills, interests, and whether the student is remote or in-person, and a lab mentor will be identified accordingly. We develop these technologies with advanced computational tools, in the Zeego Lab (a robotic C-arm that supports interventional imaging, animal studies, and more), and in the Tabletop X-Ray CT Lab (for prototyping novel systems, custom geometries, and phantom experiments). The Wang group develops technologies for advanced x-ray and CT imaging, including artificial intelligence (AI) methods, novel system designs, and spectral CT imaging. Universities may apply (visa restrictions may apply). International students who are matriculated at U.S. rising juniors or seniors) and have not graduated by the beginning of the program. Undergraduate students from other institutions who have 2 years of college experience (i.e.
Housing is not provided, but an additional stipend of $2500 will be available based on need (Students must enroll separately for Stanford -based housing). Stanford undergrads must have been enrolled full-time for a minimum of 2 quarters in the 2021-2022 academic year. Stanford Undergrads who will not have graduated by the beginning of the program. Selected students will receive a $5000 stipend for the 10-week (40 hours per week) summer session of full-time research work. Students are also required to present their research at the final presentation/poster session and complete a program questionnaire.įor summer 2022, the RSL REU program will feature a flexible hybrid format (remote and/or on-site).
Students are expected to participate for the duration of the program (exceptions may be granted at the discretion of the faculty mentor). This is a 10-week program starting June 20 to Aug(40 hours per week).
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