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RAD 200: Imaging Anatomy and Pathology

Supplements traditional disectional anatomy with modern cross-sectional imaging, and traditional examination of the cadaver with study of live subjects. Chest-abdominal and pelvic anatomy; congenital, traumatic, and neoplastic processes that affect these structures. Preparation for encounters with imaging tests in clinical medicine and surgery. Also open to graduate students in fields related to imaging sciences.
Terms: Spr | Units: 2

RAD 220: Introduction to Imaging and Image-based Neuro Anatomy (BIOE 220)

The physics of medical imaging and human neuroanatomy through medical images. Emphasis is on normal anatomy, contrast mechanisms, and relative strengths of each imaging modality. Labs reinforce imaging techniques and anatomy. Prerequisites: basic biology, physics.
Terms: Win | Units: 3

RAD 222A: Multimodality Molecular Imaging in Living Subjects I (BIOE 222A)

Focuses on instruments and chemistries for imaging of cellular and molecular processes in vivo. Basics of instrumentation physics, chemistry of molecular imaging probes, and an introduction to preclinical and clinical molecular imaging modalities.
Terms: Aut | Units: 4

RAD 222B: Multimodality Molecular Imaging in Living Subjects II (BIOE 222B)

Focuses on molecular probes that target specific disease mechanisms. The ideal characteristics of molecular probes; how to optimize their design for use as effective imaging reagents that target specific steps in biological pathways and reveal the nature of disease through noninvasive assays.
Terms: Win | Units: 4

RAD 222C: Multimodality Molecular Imaging in Living Subjects III (BIOE 222C)

Focuses on emerging chemistries and instruments that address unmet needs for improved diagnosis and disease management in cancer, neurological disease, cardiovascular medicine and musculoskeletal disorders. Objective is to identify problems or controversies in the field, and to resolves them through understanding the relevant primary literature.
Terms: Spr | Units: 4

RAD 223: Physics and Engineering of X-Ray Computed Tomography (BIOE 223)

CT scanning geometries, production of x-rays, interactions of x-rays with matter, 2D and 3D CT reconstruction, image presentation, image quality performance parameters, system components, image artirfacts, radiation dose. Prerequisites: differential and integral calculus. Knowledge of Fourier transforms (EE261) recommended.
Terms: Spr | Units: 3
Instructors: ; Fahrig, R. (PI); Pelc, N. (PI)

RAD 226: In Vivo Magnetic Resonance Spectroscopy and Imaging

Collections of identical independent nuclear spins are described by the classical vector model of magnetic resonance imaging (MRI); however, interactions among spins, as occur in many in vivo processes, require a more complete description. Physics and engineering principles of these in vivo magnetic resonance phenomena with emphasis on current research questions and clinical applications. Topics: quantum mechanical description of magnetic resonance, density matrix theory, product operator formalism, relaxation theory and contrast mechanisms, spectroscopic imaging, spectral editing, and multinuclear studies. Prerequisites: EE 369B or familiarity with magnetic resonance, working knowledge of linear algebra.
Terms: Win | Units: 3
Instructors: ; Spielman, D. (PI)

RAD 227: Functional MRI Methods (BIOPHYS 227)

Basics of functional magnetic resonance neuroimaging, including data acquisition, analysis, and experimental design. Journal club sections. Cognitive neuroscience and clinical applications. Prerequisites: basic physics, mathematics; neuroscience recommended.
Terms: Win | Units: 3
Instructors: ; Glover, G. (PI)

RAD 228: Magnetic Resonance Imaging Programming Topics

Primarily for students working on research projects involving MRI pulse sequence programming. Introductory and student-initiated topics in seminars and hands-on labs. Image contrast mechanisms achieved by pulse sequences that control radiofrequency and gradient magnetic fields in real time, while acquiring data in an organized manner for image reconstruction. Prerequisites: EE 369B and consent of instructor.
Terms: Sum | Units: 3 | Repeatable for credit
Instructors: ; Hargreaves, B. (PI)

RAD 260: Computational Methods for Biomedical Image Analysis and Interpretation (BIOMEDIN 260)

The latest biological and medical imaging modalities and their applications in research and medicine. Focus is on computational analytic and interpretive approaches to optimize extraction and use of biological and clinical imaging data for diagnostic and therapeutic translational medical applications. Topics include major image databases, fundamental methods in image processing and quantitative extraction of image features, structured recording of image information including semantic features and ontologies, indexing, search and content-based image retrieval. Case studies include linking image data to genomic, phenotypic and clinical data, developing representations of image phenotypes for use in medical decision support and research applications and the role that biomedical imaging informatics plays in new questions in biomedical science. Includes a project. Enrollment for 3 units with reduced project requirements requires instructor consent. Prerequisites: programming ability at the level of CS 106A, familiarity with statistics, basic biology. Knowledge of Matlab highly recommended.
Terms: Spr | Units: 3-4

RAD 261: Computational Methods for Biomedical Image Analysis and Interpretation: Lectures (BIOMEDIN 261)

Lecture component of RAD/BIOMEDIN 260. The latest biological and medical imaging modalities and their applications in research and medicine. Focus is on computational analytic and interpretive approaches to optimize extraction and use of biological and clinical imaging data for diagnostic and therapeutic translational medical applications. Topics include major image databases, fundamental methods in image processing and quantitative extraction of image features, structured recording of image information including semantic features and ontologies, indexing, search and content-based image retrieval. Case studies include linking image data to genomic, phenotypic and clinical data, developing representations of image phenotypes for use in medical decision support and research applications and the role that biomedical imaging informatics plays in new questions in biomedical science. Prerequisites: familiarity with statistics, basic biology. Knowledge of Matlab and programming recommended.
Terms: Spr | Units: 2
Instructors: ; Paik, D. (PI); Rubin, D. (PI)

RAD 370: Medical Scholars Research

Provides an opportunity for student and faculty interaction, as well as academic credit and financial support, to medical students who undertake original research. Enrollment is limited to students with approved projects.
Terms: Aut, Win, Spr, Sum | Units: 4-18 | Repeatable for credit

RAD 72Q: Flouresence Imaging in Living Cells

Preference to sophomores. Basic principles of fluorescent probes and their applications for live-cell imaging. Topics include: general classes of flourescent probes together with their fluorescence mechanisms; strategies and methods for live cell labeling and imaging of specific proteins. Examples of applications of fluorescence imaging are presented. Provides students first-hand experience in fluorescence imaging research, and exploration of cutting edge techniques. Readings include current reviews and key original articles.
| Units: 2

RAD 203: Introduction to Interventional Radiology

Designed to expose pre-clinical and clinical MD students to minimally-invasive procedures using image guidance through a combination of didactics, simulation, and cathlab observation. Weekly organ-based and/or disease-based lectures are followed by simulation and faculty shadowing. Daily case-based presentations by faculty, technical demonstrations, and informal discussions reinforce the learning experience.
| Units: 1
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