Department of Physics

ELE 564: Medical Imaging

Course Information

Please note that exact details of the course can vary

Professor: Dr.John DiCecco, Dr.Ying Sun,
Semester:Fall

Credits: 3

 Prerequisites: Should be taken together with ELE565

Catalog Description:

Course Goals & Outcomes

Upon completion, successful students will be able to:

Course Description

Engineering and clinical applications of medical imaging systems including X-ray, computed tomography, radioisotope imaging, ultrasound, magnetic resonance imaging; picture archiving and communication system and medical image processing.

This course consists of lectures and offered in parallel with labs, ELE565

Text:The Physics of Medical Imaging, by S. Webb.

Topics covered in this course include:

• Engineering and clinical applications of medical imaging systems including X-ray, computed tomography, radioisotope imaging, ultrasound, magnetic resonance imaging; picture archiving and communication system and medical image processing.
• GUI-based programming for image analysis (#1): intro; x-ray contrast, SNR, dose quantum mottle, unsharpness, beam hardening.
• GUI-based programming for image analysis (#2): filters; four generations of computer-assisted tomography (CAT) systems; tomography reconstruction.
• Convolution, backprojection. Radon transform, inverse Radon Transform, central slice theorem.
• Algebraic reconstruction technique; GUI-based programming for image analysis (#3): area measurement.
• Nuclear medicine: physics of radioactive isotopes; scintillation gamma camera; single photon emission computed tomography (SPECT).
• Positron emission tomography (PET); GUI-based programming for image analysis (#4): area measurement.
• Diagnostic ultrasound, physics and instrumentation 2D and color Doppler echocardiography; color Doppler echocardiography.
• Clinical use of echocardiography, magnetic resonance imaging (MRI), MRI physics and instrumentation video.
• Research topic: automated tracking of blood vessels; GUI-based programming for image analysis (#5): final project.
• Student project presentation – Phase I; research topic: automated analysis of mitochondria images.
• Research topic: directional low-pass filter; MATLAB Image Processing Toolbox (IPT) Part 1.
• Student project presentation – Phase II; MATLAB Image Processing Toolbox (IPT) Part 2

Contact Information:

Dr.John DiCecco: diceccoj@ele.uri.edu

Dr.Ying Sun: yingsun@uri.edu