SDSU Foundations of Neuroimaging (PSY 569/769)

Fall 2019

lecture01 -- Introduction to Class
lecture02 -- Hardware, Quantum Mechanics, Spin versus Precession
lecture03 -- Precession, Dot/Cross/Complex Vector Products
lecture04 -- Bloch Equation1: Precession, T2 Decay, T1 Decay/Regrowth
lecture05 -- Block Equation2: How to Solve Simple Differential Equation
lecture05b -- Bloch Equation3: Rotation, Matrix Version Equation/Solution
lecture06 -- RF Coils: Stimulate and Record
lecture07 -- Signal Equation
lecture08 -- Phase-Sensitive Detection
lecture08b -- Spectroscopy Analogy (Garden Path!) and the Origin of MRI
lecture09 -- Free Induction Decay, T2 Decay versus T2* Decay
lecture10 -- Spin Echo, Spin Echo Amplitude
lecture11 -- 3 RF Pulses: Spin Echo and Stimulated Echo Trains
lecture11b -- Spin Echo Review, Intro to Hyperechoes
lecture12 -- Gradient Echo Signals, Saturation/Recovery, Steady State
lecture13 -- Inversion Recovery, Spin Echo, Gradient Echo Signal Equations
lecture14 -- Fast Gradient Echo Echo Amplitude, Signal-to-Noise Equation
lecture15 -- Fourier Transform #1: Complex Multiply, FT of Real Sig as 2 Correlations (skip to camera fixed at 15:00!)
lecture16 -- Fourier Transform #2: Time/Space->Temporal/Spatial Freq, Examples
lecture17 -- Fourier Transform #3: kSpace Center, Complex-valued Image
lecture17b -- Fourier Transform #4: Spikes Pick, FT Pairs, Convolution Theorem
lecture18 -- Gradients, Slice Selection, RF Pulse Frequency Band
lecture19 -- Common RF Pulses, Fat Saturation Pulses, Tilted Slices
lecture20 -- Frequency Encoding, Correct Intuition: It's Actually Phase Encoding
lecture20b -- Magnetization Transfer Contrast, Off-Resonance Excitation
lecture21 -- How Frequency and Phase Encoding Do a Fourier Transform of Brain
lecture22 -- 3D Pulse Sequences, How Gradients Move Position In k-Space
lecture23 -- Image Reconstruction, Discrete Fourier Transform, Sampling k-Space
lecture23b -- Review the First Half Of the Course
lecture24 -- Ringing, Field-of-View (FOV), Voxel Size, Over/Under-Sample
lecture25 -- 2D Slow and Fast (Turbo) Spin Echo Pulse Sequences and k-Space
lecture26 -- Really Fast Spin Echo: Variable Flip Angle Scans (SPACE)
lecture26b -- General Linear Inverse Reconstruction: Deal With Imperfect Stripes
lecture27 -- Fast Gradient Echo: SSFP, FLASH, MPRAGE, MP2RAGE
lecture28 -- Echo-Planar Imaging, How Local Coils Allow Undersampling (GRAPPA, SENSE)
lecture29 -- Simultaneous Multi-Slice, Echo Volume Imaging
lecture29b -- Motivation, PreScanNorm, T1OverT2, MP2RAGE, 2FlipAngles
lecture30 -- 2-Flip-Angle Quantitative T1 With SE/STE B1-Mapping, Why Spin-Echo BOLD
lecture31 -- Amplifiers, 2D Spiral, 3DFSE Spiral, Radial, PROPELLOR/BLADE
lecture32 -- Phase and Freq Shift Fourier Theorems, How B0 Defect Causes Shift, Shimming
lecture32b -- Per-Slice and Motion Navigators, EPI vs. Spiral Distortion, Grad NonLin
lecture33 -- Diffusion: Weighting, b-value, Gaussian Diffusion Tensor, Non-Gaussian
lecture34 -- Tract Tracing, Length Scale by Multiple b-vals, Practical DTi Pulse Seq
lecture35 -- Arterial Spin Labeling (CASL, PASL, pCASL), Spectroscopy Imaging
lecture36 -- Fourier Analysis of 'Phase-Encoded' Mapping Stimuli, Convolution by HDR
lecture36b -- Visualizing Off-Resonance Excitation and Adiabatic Inversion
lecture37 -- General Linear Model: Deconvolution, Nuisance Factors, Significance
lecture38 -- General Linear Model: Geometric Visualization of Deconvolve Solution
lecture39 -- Recon Surface: Normalize, Segment, Smooth, Region Grow, Make Surface
lecture40 -- Derive Vertex Update Rule for Normal/Tangential/Image Error Terms
lecture41 -- Spherical Morph Using Sulcal Depth (sulc), Cortical Source of EEG
lecture42 -- Microelectrodes and Scalp Electrodes, Gradient, Divergence, and Curl
lecture43 -- Potential, Electric Field, and Derivation of Current Source Density
lecture44 -- 1D CSD in Depth, 2D CSD On Surface/Scalp, Dipolar Geometry Cortical Sources
lecture45 -- Electr/Mag Static Maxwell Eqs, Monopole/Dipole, Electr/Mag Forward Solutions
lecture46 -- Why Localize, Minimum Norm Inverse Solution, Noise-Normalized View Solution

[semester done: 11 Dec 2019]
[total: 56 one-hour lectures]

Fall 2018

Last year's lectures

Videos for educational purposes
© 2019 by Martin I. Sereno.
(page source for mp4 links)