CSMRI Resources

This repo mainly collects some important speeches, educational videos and academic presentations about Compressed sensing & MRI reconstruction

🧲 MRI Basics

Raymond V. Damadian

• The Story of the MRI

Basic Physics & a Brief History

• MRI: Basic Physics & a Brief History

How MRI Works

• How MRI Works (Part 1 - NMR Basics) (Part 2 - The Spin Echo) (Part 3 - The Fourier Transform and K-Space)

MRI Signals and Sequences

• Stanford-RAD229 [website]

Understand k-space

• K-Space: A way to understand how MRI parameters affect images

Parallel Imaging

• Parallel Imaging

📚 Compressed Sensing Basics

David Donoho

• Gauss Prize Lecture: Compressed sensing — from blackboard to bedside — David Donoho — ICM2018

Michael Lustig

• ISMRM MR Academy - Compressed Sensing in MRI
• ISMRM-ESMRMB 2018

low rank

• ISMRM 2020 Tutorial: Low Rank Reconstruction Approaches

sparsity

• Sparsity and the L1 Norm

✴️ Radial MRI

Kai Tobias Block

• Improving the Robustness of Clinical MRI -- Using Radial Sampling and Compressed Sensing

Li Feng

• XD-GRASP for compressed sensing and parallel imaging

Daniel Sodickson

• Daniel Sodickson plenary talk: The Rapid Imaging Renaissance

☝️ MR Fingerprinting

Dan Ma

• ISMRM MR Academy - MR Fingerprinting

Mark Griswold

• How MR Fingerprinting Could Change the Way We Think About MRI

🚀 Low Field MRI

Clarissa Cooley

• Low-cost "purpose-built" MRI systems for brain imaging

Matthew Rosen

• Life at the bottom: millitesla MRI in the 21st century

🧙‍♂️ Deep Learning Methods

Jeffrey Fessler

• Joint Optimization and Learning for Image Reconstruction in MRI

Michal Sofka

• Deep MR image reconstruction across k­-space and image domain

🤔 Others

Klaas P. Prüssmann

• Richer data, better defined: Gearing up MRI for the learning age

📚 Documents

Convex Optimization (CMU Fall19 Lecture material)

MRI Questions website