Work

Quantitative T1 MRI

Year: 2023

Type: dataset

Abstract: About: This dataset consists of Python objects in pkl format, which were generated by executing qMRLab scripts in MATLAB, and they are utilized to produce interactive visualizations with Plotly. The outputs are derived from Bloch simulations of qMRI experiments and incorporate a select number of in-vivo datasets. These outputs serve to illustrate the connection between quantitative images and their corresponding qualitative counterparts from which they were derived. Dataset provided for NeuroLibre preprint. Author repo: https://github.com/qMRLab/t1-book-neurolibre NeuroLibre fork:https://github.com/roboneurolibre/t1-book-neurolibre For details, please visit the corresponding NeuroLibre technical screening. https://neurolibre.org

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.10067640

Authors: Mathieu Boudreau, Kathryn E. Keenan, Nikola Stikov

Institutions: Montreal Heart Institute, National Institute of Standards and Technology, Physical Measurement Laboratory

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W4393800166

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