MRI: Processing your Data

CC BY 4.0 Open Source Love

Introduction

Welcome to the documentation of the hands-on workshop "MRI: Processing Your Data", taking place on November 20 and 21, 2023, at the San Joaquin Campus of the Pontificia Universidad Católica de Chile.

In this documentation, you will find information, data, and examples related to the hands-on workshop.

It specifically aims for scientists and students working with MRI related topics. We presume the attendees have some basic programming and signal processing skills. To get everyone on the same level, we start with Julia programming basics.

Note

Before the course starts, all participants are required to have Julia and Pluto installed, please see the course preparation page.

Time Table and Map

All following times are in Chilean (Santiago) time (currently GMT-4). Look up your related time here, so you don't miss anything. To find the rooms of the workshop, you can download a PDF version of the San Joaquin campus or visit our virtual map.

Note

We recommend arriving on the campus at least 15 minutes before the beginning of the sessions because some buildings are far from the main entrance.

Day 1 - Monday the 20th of November 2023 / Place: Sala de clase AP102, Edificio de Aulas Las Pataguas

TimeActivities/TopicsPresenters
10:30ReceptionPablo Irarrázaval
10:55Introduction to the WorkshopPablo Irarrázaval
11:00Theory: Fundamentals of the MRI SignalPablo Irarrázaval
11:45Hands-on: Fundamentals of the MRI SignalPablo Irarrázaval
12:30Lunch-
13:30Open SoftwareCarlos Castillo
14:15Theory: SimulationCarlos Castillo
15:00Hands-on: SimulationCarlos Castillo
16:00Break-
16:15Theory: Basic Signal ProcessingPablo Irarrázaval / Belén Bravo
17:00Hands-on: Basic Signal ProcessingBelén Bravo
18:00Adjourn-

Day 2 - Tuesday the 21th of November 2023 / Place: Sala de estudios, Edificio Raul Deves

TimeActivities/TopicsPresenters
09:15Theory: Undersampled Reconstruction with Parallel ImagingPablo Irarrázaval / Ronal Coronado
10:00Hands-on: Undersampled Reconstruction with Parallel ImagingRonal Coronado
10:45Break-
11:00Theory: Undersampled Reconstruction with Compressed SensingPablo Irarrázaval / Belén Bravo
11:45Hands-on: Undersampled Reconstruction with Compressed SensingBelén Bravo
12:30Lunch-
13:30Theory: Quantitative MappingPablo Irarrázaval / Guillermo Sahonero
14:15Hands-on: Quantitative MappingGuillermo Sahonero
15:00Break-
15:15Theory: Off-Resonance CorrectionPablo Irarrázaval / Ronal Coronado
16:00Hands-on: Off-Resonance CorrectionRonal Coronado
16:45Adjourn-

Feedback and support

If you have any questions, please create a github issue.

Acknowledgments

We would like to thank the Chan Zuckerberg Initiative through the LIBRE hub project for the financial support and the Pontificia Universidad Católica de Chile through the Institute of Biological and Medical Engineering for providing facilities for the course.

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