Open-source magnetic resonance imaging acquisition: Data and documentation for two validated pulse sequences
Related Experiment Video
Updated: Sep 26, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Gehua Tong1,2, Andreia S Gaspar3, Enlin Qian1,2
1Department of Biomedical Engineering, Columbia University in the City of New York, New York, NY, USA.
Abstract:
Raw data, simulated and acquired phantom images, and quantitative longitudinal and transverse relaxation times (T1/T2) maps from two open-source Magnetic Resonance Imaging (MRI) pulse sequences are presented in this dataset along with corresponding ".seq" files, sequence implementation scripts, and reconstruction/analysis scripts [1]. Real MRI data were collected from a 3T Siemens Prisma Fit and a 1.5T Siemens Aera via the Pulseq open-source MR sequence platform, and corresponding in silico data were generated using the simulation module of Virtual Scanner [2]. This dataset and its associated code can be used to validate the pipeline for using the same pulse sequences at other research sites using Pulseq, to provide guidelines for documenting and sharing open-source pulse sequences in general, and to demonstrate practical, customizable acquisition scripts using the PyPulseq library.
Related Concept Videos
NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences
Magnetic Resonance Imaging

