Catalog Description: Fundamentals of MRI including signal-to-noise ratio, resolution, and contrast as dictated by physics, pulse sequences, and instrumentation. Image reconstruction via 2D FFT methods. Fast imaging reconstruction via convolution-back projection and gridding methods and FFTs. Hardware for modern MRI scanners including main field, gradient fields, RF coils, and shim supplies. Software for MRI including imaging methods such as 2D FT, RARE, SSFP, spiral and echo planar imaging methods.

Units: 4

Also Offered As: BIOENG C265, NUCENG C235, ELENG C225E

Related Areas:

• Signal Processing (SP)

Course Objectives: Graduate level understanding of physics, hardware, and systems engineering description of image formation, and image reconstruction in MRI. Experience in Imaging with different MR Imaging systems. This course should enable students to begin graduate level research at Berkeley (Neuroscience labs, EECS and Bioengineering), LBNL or at UCSF (Radiology and Bioengineering) at an advanced level and make research-level contribution

Prerequisites: EL ENG 120 or BIO ENG C165/EL ENG C145B or consent of instructor.

Formats:
Fall: 3.0 hours of lecture, 1.0 hours of discussion, and 3.0 hours of laboratory per week
Spring: 3.0 hours of lecture, 1.0 hours of discussion, and 3.0 hours of laboratory per week

Grading Basis: Student Option

Final Exam Status: No

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Class Schedule (Spring 2026):
EE C225E – MoWe 09:30-10:59, Cory 293 – Miki Lustig

Links:

• EECS Course Archives (CalNet authentication required)
• CS enrollment policies
• EE enrollment policies
• HKN course maps