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Conference Papers Year : 2020

PySAP-MRI: a Python Package for MR Image Reconstruction

Abstract

Target audience: It is expected that the audience has preliminary knowledge of classical MRI acquisition and reconstruction techniques. Pysap-mri is aimed at researchers who need fast MR image reconstruction algorithms for under-sampled k-space data. It has been fully tested on Linux Ubuntu 16.04/18.04 LTS and Mac OS operating systems. Purpose: We present the open-source MRI plugin, called pysap-mri, of the software package PySAP (Python Sparse data Analysis Package). PySAP offers a large set of fast wavelet transforms and a range of integrated optimization algorithms in Python. The plugin pysap-mri provides methods, tools and examples for MR image reconstruction in various acquisition setups (2D and 3D imaging, Cartesian and non-Cartesian readout, parallel imaging, etc.) in the context of accelerated acquisitions using compressed sensing. This plugin is available on Pypi as pysap-mri 0.1.1. Test data are available in pysap-data.
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Dates and versions

hal-02399267 , version 1 (09-12-2019)

Identifiers

  • HAL Id : hal-02399267 , version 1

Cite

Loubna El Gueddari, Chaithya Giliyar Radhakrishna, Zaccharie Ramzi, Samuel Farrens, Sophie Starck, et al.. PySAP-MRI: a Python Package for MR Image Reconstruction. ISMRM workshop on Data Sampling and Image Reconstruction, Jan 2020, Sedona, AZ, United States. ⟨hal-02399267⟩
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