Fall 2021
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lecture01 -- Introduction: Resources, Assignments, Lectures Overview [2021 finally!]
lecture02 -- Hardware, Quantum Mechanics, Spin vs. Precession
lecture03 -- Bloch 1st term, Dot/Cross/Complex Products, Explaining Precession
lecture04 -- Bloch Equation1: What Affects Precession, T2 Decay, T1 Decay/Regrowth
lecture05 -- Bloch Equation2: How to Solve Simple Differential Equations
lecture06 -- Bloch Equation3: T1 Solution, Simple Matrix Operations, Bloch Summary
lecture06b -- Bloch Equation4: Matrix Version of Equations and Solutions
lecture07 -- Rotating Coords, RF Coils Stimulate and Record
lecture08 -- Signal Equation, Vector Sum of Local Magnetic Vectors
lecture08b -- Spectroscopy Analogy (Garden Path!) and the Origin of MRI
lecture09 -- Phase-sensitive Detection, Rotating Coord System, S/N
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 (no echo), Spin Echo Pulse Sequence
lecture14 -- Fast Gradient Echo, Signal-to-Noise
lecture14b -- Extended Phase Graphs, MDEFT
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/review on 'ringing')
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 (multiband, blipped CAIPI)
lecture29b -- Quantitative Motivation, PreScanNorm, T1OverT2, MP2RAGE
lecture30 -- 2-Flip-Angle Quantitative T1 With SE/STE B1-Mapping, Why Spin-Echo BOLD
lecture31 -- Amplifiers, 2D Spiral, 3DFSE Spiral, Radial, PROPELLOR/BLADE [ => mic ON at 2 min :-} ]
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
lecture34 -- Tract Tracing, Length Scale by Multiple b-vals, Practical DTi Pulse Seq
lecture35 -- Fourier Analysis of 'Phase-Encoded' Mapping Stimuli, Convolution by HDR
lecture35b -- Arterial Spin Labeling (CASL, PASL, pCASL), Spectroscopy Imaging
lecture36 -- General Linear Model: Deconvolution, Nuisance Factors, Versions, Significance
lecture37 -- General Linear Model: Geometric Visualization of Deconvolve Solution
lecture38 -- Recon Surface: Normalize, Segment, Smooth, Region Grow, Make Surface
lecture38b -- Derive Vertex Update Rule for Normal/Tangential/Image Error Terms
lecture39 -- Spherical Morph Using Sulcal Depth (sulc), Cortical Source of EEG
lecture40 -- Off-resonance excitation [optional 2020 lecture]
lecture41 -- Microelectrodes, Cortical Areas, Scalp Electrodes; Gradient, Divergence, and Curl
lecture42 -- Potential, Electric Field, and Derivation of Current Source Density
lecture43 -- 1D CSD in Depth, 2D CSD On Surface/Scalp, Dipolar Geometry Cortical Sources [fixed]
lecture43b -- Elec/Mag Static Maxwell Eqs, Monopole/Dipole, Electr/Mag Forward Solutions [fixed]
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 2020
Last year's lectures
Videos for educational purposes
© 2021 by Martin I. Sereno.