SDSU Foundations of Neuroimaging (PSY 569/769)

Fall 2020

[youtube backup of all 59 videos below here]

lecture01 -- Introduction to Class
lecture02 -- Hardware, Quantum Mechanics, Spin vs. Precession
lecture03 -- Dot/Cross/Complex Vector Products
lecture03b -- How Precession Works

lecture04 -- Bloch Equation1: Precession, T2 Decay, T1 Decay/Regrowth
lecture05 -- Bloch Equation2: How to Solve Simple Differential Equations
lecture06 -- Bloch Equation3: T1 Solution, Bloch Summary, Simple Matrix Operations
lecture06b -- Bloch Equation4: Matrix Version of Equations and Solutions

[Mon: holiday]
lecture07 -- RF Coils: Stimulate and Record
lecture08 -- Signal Equation
lecture08b -- Spectroscopy Analogy (Garden Path!) and the Origin of MRI

lecture09 -- Phase-Sensitive Detection
lecture10 -- Free Induction Decay, T2 Decay versus T2* Decay
lecture11 -- Spin Echo, Spin Echo Amplitude
lecture11b -- 3 RF Pulses: Spin Echo and Stimulated Echo Trains

lecture12 -- Gradient Echo, Begin Tissue Contrast: Saturation-Recovery
lecture13 -- Inversion Recovery, Spin Echo Pulse Sequence
lecture14 -- Fast Gradient Echo, Signal-to-Noise
lecture14b -- Extended Phase Graphs, MDEFT sequence

lecture15 -- Fourier Transform #1: Complex Multiply, FT of Real Sig as 2 Correlations
lecture16 -- Fourier Transform #2: Time/Space -> Temporal/Spatial Frequency, Examples
lecture17 -- Fourier Transform #3: K-Space Center, Complex-Valued Image (one k-space point!)
lecture17b -- Fourier Transform #4: Inverse FT as Corr w/cos,sin, Spikes Pick, FT Pairs

lecture18 -- Gradients, Slice Selection, Convolution, RF Pulse Frequency Band
lecture19 -- Common RF Pulses, Interleaved, Motion, PreScans, Tilted Slices, Fat Saturation
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 Scans/Pulse Sequences, How Gradients Move Position In k-Space
lecture23 -- Image Reconstruction, Discrete Fourier Transform, Sampling k-Space
lecture23b -- More Echo Details: SE vs. STE Amplitude Equations, Hyperechoes

lecture24 -- Field-of-View (FOV), Voxel Size, Over/Under-Sample (begin w/ringing review)
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: Dealing with Imperfect Phase 'Stripes'

lecture27 -- Fast Gradient Echo: SSFP, FLASH, MPRAGE
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
lecture32b -- Per-Slice and Motion Navigators, EPI vs. Spiral Distortion

lecture33 -- Diffusion: Weighting, b-value, Gaussian Diffusion Tensor, Non-Gaussian
[Wed: holiday]
lecture34 -- Arterial Spin Labeling (CASL, PASL, pCASL), Spectroscopy Imaging
lecture34b -- Tract Tracing, Length Scale by Multiple b-vals, Practical DTi Pulse Seq

lecture35 -- Fourier Analysis of 'Phase-Encoded' Mapping Stimuli, Convolution by HDR
lecture36 -- General Linear Model: Deconvolution, Nuisance Factors, Significance
lecture37 -- Recon Surface: Normalize, Segment, Smooth, Region Grow, Make Surface
lecture37b -- General Linear Model: Geometric Visualization of Deconvolve Solution

lecture38 -- Derive Vertex Update Rule for Normal/Tangential/Image Error Terms
lecture39 -- Off Resonance Excitation
[Fri: holiday]

lecture40 -- Spherical Morph Using Sulcal Depth (sulc), Cortical Source of EEG
lecture41 -- Microelectrodes, Cortical Areas, Scalp Electrodes; Gradient/Divergence/Curl (N.B.: ends at 53:00)
lecture42 -- 1D CSD in Depth, 2D CSD On Surface/Scalp, Dipolar Geometry Cortical Sources
lecture42b -- Potential, Electric Field, and Derivation of Current Source Density

lecture43 -- Electric/Magnetic Static Maxwell Eqs, Monopole/Dipole, EEG/MEG Forward Solutions
lecture44 -- Why Localize? Minimum Norm Inverse Solution, Noise-Normalized View of Solution
lecture45 -- Min Norm Point-Spread, fMRI Constrained, Surface-Normal Problems, Using Sensor Covariance

Fall 2019

Last year's lectures

Videos for educational purposes
© 2020 by Martin I. Sereno.
(page source for mp4 links)