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ISMRM'22 QC Book

Welcome!

preamble

Before we start: How to follow this tutorial
Before we dive into QA/QC : Definitions and terminology
Defining QC and QA
QC and Neuroimaging

Dataset QC

Introduction
Is a task repetitive, boring, and/or error-prone? Script it!
Highlight important and diagnostic features as efficiently as possible
Create and consistently perform control analyses
Use automated dynamic reports

Animal QA/QC

Quality Control in preclinical MRI: Where do artifacts come from and how to fix them
Idiosyncrasies of acquiring data from small animals
“What went wrong?” data acquisition edition
Idiosyncrasies of processing MRI data from small animals
“What went wrong?” data processing edition

Automating QA

Introduction
Understanding IQMs generated by MRIQC
Reducing the dimensionality of the metrics
Making predictions about quality
Interpretability of the Image Quality Metrics (IQMs) of MRIQC

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