19 courses with the subject MPHY, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MPHY 5000Introduction to Global Oncology
This course provides an introduction to global oncology in the areas s of medicine, physics, and engineering. Regional differences related to epidemiology, social factors, health policy and resources/access to cancer care will be presented. Global organizations, clinical trials and the use of AI in medicine will also be discussed. This course will include faculty presentations (from Penn and faculty abroad), journal discussions and student presentations. Although this course has a focus on oncology, it is open to any students interested in global health.
Introduction of subspecialties of medical physics (radiation oncology, diagnostic imaging, nuclear medicine and medical health physics), and professional competencies and skills needed for success in a medical physics career. Focus on career placement after graduation with an emphasis on preparation for the medical physics residency application, match, and interview process. Two Term Class, Student may enter either term; credit given for either 0 Course Units
Physical principles of diagnostic radiology, fluoroscopy, computed tomography; principles of ultrasound and magnetic resonance imaging; radioisotope production, gamma cameras, SPECT systems, PET systems; diagnostic and nuclear medicine facilities and regulations. The course includes a component emphasizing the emerging field of molecular imaging.
Taught by a radiation oncologist, this course covers major organ systems and disease areas and is presented from a radiologic or imaging (including cross-sectional) viewpoint in addition to a standard anatomy and physiology presentation. Students complete anatomical contouring assignments on the Varian Eclipse treatment planning system, applying anatomical knowledge in a clinically realistic environment. Additionally, students have the opportunity to participate in a Virtual Reality Lab using Human Anatomy VR software for interactive learning. By the end of this course, students will be able to identify and describe major anatomical structures across organ systems using radiologic and cross- sectional imaging as well as perform basic anatomical contouring using Varian ARIA as part of image-guided treatment planning workflows. Fundamental knowledge of anatomy and physiology is recommended.
Fundamental concepts underlying radiological physics and radiation dosimetry. Interactions and energy deposition by ionizing radiation in matter and charged particle equilibrium; introduction to radiation detection, calibration, and therapy.
Fundamentals of professional ethics for medical physicists through exploration of Code of Ethics (published by the American Association of Physicists in Medicine); case studies; survey of governmental regulations pertinent to medical physics.
This course covers clinical radiation oncology physics; principles of radiation- producing equipment; modern treatment delivery techniques including IMRT, VMAT, SRS, and brachytherapy; dose calculation and optimization algorithms. It provides an overview of site-specific treatment planning technique and considerations. This course also includes a hands-on treatment planning lab using the Eclipse treatment planning system.
This course provides a comprehensive introduction to the principles and operation of radiation detectors. It covers the fundamentals of radiation interactions and statistical methods, the operational mechanics of standard detectors used in physics and radiation science, and real-world applications within the field of medical radiation physics. Fundamental knowledge of quantum physics, electrodynamics or electromagnetism, introductory electronics, atomic physics, and nuclear physics is recommended.
This course covers the fundamentals of advanced quantitative image analysis that apply to all of the major and emerging modalities in biological/biomaterials imaging and in vivo biomedical imaging. While traditional image processing techniques will be discussed to provide context, the emphasis will be on cutting edge aspects of all areas of image analysis (including registration, segmentation, and high- dimensional statistical analysis). Significant coverage of state-of-the- art biomedical research and clinical applications will be incorporated to reinforce the theoretical basis of the analysis methods. Prerequisite: Mathematics through multivariate calculus (MATH 2410), programming experience, as well as some familiarity with linear algebra, basic physics, and statistics.
Fundamentals of computational calculations with MATLAB on common problems in radiation therapy physics: Compton scattering cross- section and its applications; Bremsstrahlung scattering cross- sections and its applications; 3D photon dose calculation algorithms; 3D electron dose calculation algorithms; CT reconstruction; DICOM format.
Lab course offering hands-on experience with a range of measurements commonly encountered in the practice of clinical medical physics. Project offerings may include: Task Group 51 calibration of linear accelerators; 4-Dimensional Computed Tomography (4DCT) imaging and image analysis; Deformable image registration and dose sum reconstruction; Monthly linear accelerator Quality Assurance (QA) procedures; Brachytherapy source calibration and High Dose Rate (HDR) machine QA; Positron emission tomography (PET) imaging and image analysis; MRI imaging and image analysis; Linear accelerator shielding calculations and radiation survey.
This course offers an in-depth introduction to AI with a focus on medical applications through the lens of a medical physicist. It discusses fundamental principles of medical informatics, data science, and artificial intelligence, and emphasizes their applications to medical scenarios. The course explores image segmentation, registration, data analysis and natural language processing through hands-on learning using the Python programming language. AI assistants like GitHub copilot and ChatGPT are used to augment learning and facilitate coding exercises. The course is intended for a broad audience interested in medical AI, but a strong foundation in math and programming is recommended.
Magnetic resonance imaging (MRI) is an important and widely used imaging modality for making clinical diagnosis, prognosis, and monitoring treatment response. In this course, students are introduced to the fundamental principles behind the physics of MRI. Topics include basic electromagnetism; MRI hardware; signal generation; image contrast mechanisms, basic and advanced pulse sequences for obtaining structural, metabolic and physiologic information; artefacts; and safety issues. The course offers hands-on experience with an MRI scanner.
This course is designed to provide the student with a unique learning experience not achievable by ordinary course work. Clinical projects offered by faculty and staff physicists from the Department of Radiation Oncology may count as an independent study course. 1 Course Unit
Practical experience in a subspecialty of medical physics including radiation therapy, diagnostic imaging, radiation safety, and nuclear medicine. Taking place in a clinical setting and supervised by a qualified medical physicist, the practicum provides an understanding of instrumentation methodology, calibration, treatment planning, and quality assurance; and may include patient interaction, clinical conference attendance, and a review of new techniques.
Faculty-mentored research project (extended research paper or original research) resulting in a final paper and short oral presentation that is the culmination of a master student's graduate study. 1 Course Unit
Faculty-mentored research project (extended research paper or original research) resulting in a final paper and short oral presentation that is the culmination of a master student's graduate study. 1 Course Unit 2026-27 Catalog | Generated 08/03/26 Middle Eastern Languages & Cultures (MELC)
