Course Name:
Model-Based Imaging
Course Number:
ECE 641
Description:
This course teaches the basic theory of modeling processing image data for applications such as image reconstruction, restoration, segmentation, clustering, and simulation. It requires a solid background in probability, but is design for students form a wide variety of science and engineering backgrounds.
Requirements:
Background in probably and linear algebra
Instructor:
Charles Bouman
Time Offered:
Every Fall
Find Courses
Course Name:
Digital Image Processing
Course Number:
ECE 637
Description:
This is an introductory course in image processing that teaches the basic techniques of filtering, tomography, MRI, sampling, random processes, eigen-signal analysis, segmentation, colorimetry, color perception modeling, image halftoning, and image coding.
Requirements:
Some knowledge of C/Matlab programming, some probability, and some linear systems. Two of these three is sufficient.
Instructor:
Charles Bouman
Time Offered:
Every Spring
Course Name:
Molecular Imaging
Course Number:
HSCI 590Q (will soon be changed)
Description:
This course is a 3 credit hour course that focuses on non-invasive molecular imaging of endogenous and exogenous molecules, particularly for clinical applications. The course is divided into three parts, which will be taught by three different professors. All students are strongly recommended to take all three parts of this class. However, students may choose to only register for one or two of the three parts (1 credit hour each). Each part will be graded separately and will appear as separate grade/course in the transcript.
(1) Imaging of endogenous molecules, focusing on theory, practical aspects and applications of Magnetic Resonance Spectroscopy (MRS) – Dr. U. Dydak
(2) Combination of Endogenous and Exogenous Molecular Detection, focusing on thermo- and photo-acoustic tomographic and computed tomographic imaging – Dr. K. Stantz
(3) Imaging of exogeneous ligands using Positron Emission Tomography (PET) and SPECT – Dr. S. Liu
This course teaches theory, practical aspects and applications of in vivo molecular imaging using advanced and novel diagnostic medical imaging techniques. Students will learn the principles of signal generation and targeting/identification of specific molecules in vivo. Clinical as well as pre-clinical applications will be discussed in all three parts.
Requirements:
None
Instructor:
Dydak / Stantz / Liu
Time Offered:
Every Spring, 9:30 - 10:20am, HEAV 102
Course Name:
MRI Theory
Course Number:
BME 595
Description:
This is a 3-credit course focused on the theory and design of magnetic resonance imaging systems. Topics include the fundamental physical and mathematical principles for image acquisition and reconstruction, mechanisms for image contrast and resolution, and an overview of imaging system design, including magnets, imaging gradients, and radiofrequency coils. Students will acquire a broad knowledge base covering the fundamentals of MRI, including an understanding of nuclear magnetization, pulse sequences, 2D Fourier imaging, numerical modeling, and instrumentation.
Requirements:
Background in Signals and Systems (e.g., ECE 301) and Electromagnetics (e.g., PHYS 241)
Instructor:
Joseph Rispoli
Time Offered:
Spring
Course Name:
Introduction to Medical Diagnostic Imaging
Course Number:
HSCI 570
Description:
This course teaches the fundamentals of medical imaging, including the basic physics and engineering associated with each imaging modality (CT, MRI, PET, and ultrasound), as well as mathematics and computational tools associated with image reconstruction and image processing. The course is intended for students in health sciences, biomedical engineering, physics, and life sciences.
Requirements:
basic knowledge in modern physics, linear algebra and calculus
Instructor:
Dr. Keith Stantz
Time Offered:
Every Spring
Course Name:
Optical Probes for Biological Microscopy
Course Number:
CHM 696
Description:
This course will introduce students to the design, engineering, and application of optical tools for biological imaging. The course will provide basic background on photophysics and photochemistry, especially in relation to fluorescent sensors and optogenetics. Applications in live-cell imaging, especially in neurobiology, will be surveyed. There will be a particular focus on genetically-encoded tools, such as those exploiting fluorescent protein technology. Course content consists of lectures, discussions of the current literature, scientific writing, and oral presentations.
This course is appropriate for a broad audience with a science or engineering backgrounds. It is intended for graduate students, especially first-year graduate students. It is also appropriate for advanced graduate students and, with permission of the instructor, advanced undergraduates. Familiarity with advanced undergraduate chemistry, biochemistry, and molecular cell biology will be helpful, but it is expected that students will have diverse backgrounds.
Requirements:
Instructor:
Mathew Tantama
Time Offered:
Fall
