EE369B

Week	Date	Event	Description	Material	Reading
Week 1	Wed 4/3	Lecture 1	Introduction Overview of class and introductory MRI Physics	[slides]	[EE261 Review] [2D Fourier/Systems Review]
	Wed 4/3		Homework 1 Out	[link]
	Fri 4/5	Lecture 2	MRI Physics Introductory MRI Physics continued	[slides]	[Nishimura Ch. 1-4]
Week 2	Tue 4/9		Problem Section 2	[slides] [Jupyter Notebook]
	Wed 4/10		Homework 1 Due at 12pm
	Wed 4/10		Homework 2 Out	[link]
	Wed 4/10	Lecture 3	Physics and the Signal Equation Continued MRI physics, intro gradient coils, signal equation	[slides]	Nishumura Ch. 5
	Fri 4/12	Lecture 4	Signal Equation and Image Encoding More on gradient coils, k-space, and imaging techniques	[slides]	Nishumura Ch. 5
Week 3	Tue 4/16		Problem Section 3	[slides]
	Wed 4/17		Homework 2 Due at 12pm
	Wed 4/17		Homework 3 Out	[link]
	Wed 4/17	Lecture 5	Image Encoding and Sampling Signal demodulation, sampling, aliasing	[slides]	Nishumura Ch. 5
	Fri 4/19	Lecture 6	Resolution and Parallel Imaging Sampling limitations, parallel receive coils, fast imaging	[slides]	Nishumura Ch. 5
Week 4	Tue 4/23		Problem Section 4	[slides]
	Wed 4/24		Homework 3 Due at 12pm
	Wed 4/24	Lecture 7	Excitation Slice selection, excitation k-space, adiabatic pulses	[slides]	Nishimura Ch. 6
	Thursday 4/25		Homework 4 Out	[link] [python]
	Fri 4/26	Lecture 8	Excitation Continued	[slides]	Nishimura Ch. 6
Week 5	Tue 4/30		Problem Section 5	[slides] [recording]
	Wed 5/1	Lecture 9	Imaging Considerations Field imperfections	[slides]	Nishimura Ch. 7
	Wed 5/1		Homework 5 Out	[link]
	Fri 5/3		No Lecture
	Fri 5/3		Take home Midterm released on Gradescope
	Sun 5/5		Take home Midterm DUE at 11:59PM on Gradescope
Week 6	Tue 5/7		Problem Section 6
	Wed 5/8	Lecture 10	Imaging Considerations Continued Spin echos, other non-idealities	[slides] [recording]	Nishimura Ch. 7
	Fri 5/10	Lecture 11	Imaging Considerations Continued Contrast mechanisms	[slides] [recording]	Nishimura Ch. 7
Week 7	Tue 5/14		Problem Section 7	[slides]
	Wed 5/15	Lecture 12	Noise Characterizing SNR in MRI	[slides]	Nishimura Ch. 7
	Thur 5/16		Homework 5 Due at 11:59pm
	Fri 5/17	Lecture 13	Noise Continued More on noise and SNR	[slides]	Nishimura Ch. 7
	Fri 5/17		Homework 6 Out	[link] [python]
Week 8	Tue 5/21		Problem Section 8	[slides]
	Wed 5/22	Lecture 14	Volumetric Imaging Multi-slice, 3D encoding, Fast Imaging	[slides]	Nishimura Ch. 8
	Fri 5/24		Scanner Lab
	Fri 5/24		Homework 6 Due at 11:59pm
Week 9	Tue 5/28		Problem Section 9	[slides]
	Wed 5/29	Lecture 15	Fast Imaging Continuation of lecture 14 + more on undersampling	[slides]	Nishimura Ch. 8
	Wed 5/29		Scanner Lab Due 11:59pm
	Wed 5/29		Homework 7 Out	[link]
	Fri 5/31	Lecture 16	Flow Imaging Flow, phase contrast, Time of flight	[slides]	Nishimura Ch. 10
Week 10	Tue 6/4		Problem Section 10	[slides]
	Wed 6/5	Lecture 17
	Wed 6/5		Homework 7 Due at 11:59pm
	Sat 6/8		Final Exam 10am