Skip to main content
menu
URMC / Labs / McAleavey Lab / Courses

Courses

BME 204/406 - Technical Computing in BME

Spring Semester, 4 Cr.

Course Instructor

Course Description: An introduction to the use of Matlab and associated tools for solving practical problems arising in biomedical engineering and related fields.  Topics include: review of Matlab fundamentals; design and implementation of FIR and IIR digital filters; spectral and time-frequency analysis of signals; image processing and enhancement; statistical calculations; optimization and curve fitting; numerical solution of ordinary differential equations; symbolic math operations; applied linear algebra. Final Project.Course Description: An introduction to the use of Matlab and associated tools for solving practical problems arising in biomedical engineering and related fields.  Topics include: review of Matlab fundamentals; design and implementation of FIR and IIR digital filters; spectral and time-frequency analysis of signals; image processing and enhancement; statistical calculations; optimization and curve fitting; numerical solution of ordinary differential equations; symbolic math operations; applied linear algebra. Final Project. Pre-requisites: BME221 or equivalent or graduate status.

BME 253/453 - Ultrasound Imaging

Fall Semester, 4 Cr.

Course Instructor

Course Description: This course investigates the imaging techniques applied in state-of-the-art ultrasound imaging and their theoretical bases. Topics include linear acoustic systems, spatial impulse responses, the k-space formulation, methods of acoustic field calculation, dynamic focusing and apodization, scattering, the statistics of acoustic speckle, speckle correlation, compounding techniques, phase aberration correction, velocity estimation, and flow imaging. A strong emphasis is placed on readings of original sources and student assignments and projects based on realistic acoustic simulations.