The physics of image formation by different modalities that are used for medical applications. The course emphasizes concepts of imaging science common to different types of imaging, along with understanding how information is limited by physical phenomena.

This course connects methods of imaging to the underlying biological processes that give rise to image information. It provides the background by which students learn not only what biological properties affect the signals used to construct images but also how various imaging approaches may be used to understand biological processes.

This course emphasizes the technical aspects of making quantitative measurements of structure and function using different imaging methods as well as image
analysis algorithms and the use of modeling or data analytic techniques for assessing function.

This course provides a comprehensive overview of relevant multimodal cellular and molecular imaging techniques for use in vivo, and of the design and characteristics of imaging probes and contrast agents, including optical, X ray, nuclear, MR, and ultrasound imaging

An in-depth treatment of the methods of imaging with ionizing radiation, including x-ray radiography, CT, PET and SPECT. The focus is on the physical limitations on noise, contrast, and spatial resolution, more advanced methods of image reconstruction, and how they affect practical applications.

An in-depth treatment of fundamental spin physics, imaging hardware and techniques, and the basis of advanced MR methods. The course covers more advanced concepts of MRI and MRS suitable for students intending to develop an ability to use and develop MRI as a research and diagnostic tool.

An in-depth treatment of the physics of ultrasound in complex media, instrumentation and techniques along with advanced applications.

Basic techniques of image processing. Topics include image enhancement, registration, distortion and correction, segmentation and feature extraction.

Application of machine learning, informatics, and other advanced data science methods to detect and quantify variations in tissues in a multitude of clinical
conditions.

A survey of the abilities and aims of different imaging approaches to understanding tumor biology and detailed studies of how imaging is used in preclinical and clinical science. The role of imaging in diagnosis, staging and treatment response, in clinical trials and in studies of the tumor microenvironment in animal models.

This course surveys methods and applications of structural and functional imaging of the brain and including the relevance of imaging to normal and pathological states. Particular attention is paid to the benefits of complementary information from different modalities, such as the integration of fMRI and electrophysiology, and of PET and SPECT imaging.

This course covers the use of technology to improve the specificity of delivering therapy to a diseased tissue while minimizing the exposure of healthy tissue. Includes image guided surgery, interventional radiology, MR guided HIFU and other methods of ablation.

This course will cover applications of animal models in drug development, cancer research, studies of metabolism and neuroscience.

This lab will give students hands-on experience acquiring data on MRI, PET, SPECT, ultrasound, X-ray, CT, and optical small animal imaging systems.

This lab will give students hands-on experience managing and analyzing the data acquired in the CSAI Laboratory. It will also serve as an introduction to computer programing.

This lab will give students hands-on experience acquiring data on MRI, PET, CT, and ultrasound human imaging systems.

This lab will give students hands-on experience managing and analyzing the data acquired in the Human Imaging Laboratory