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Abstract #2778

Ginkgo: a novel modular and and Open Source MRI pulse sequence development framework dedicated to MRI systems

Anaïs Artiges1, Franck Mauconduit1, Ivy Uszynski1, Baptiste Mulot2, Elodie Chaillou3, Philippe Ciuciu4, and Cyril Poupon1
1BAOBAB, NeuroSpin, Paris-Saclay University, CNRS, CEA, Gif-sur-Yvette, France, 2Beauval Nature, ZooParc de Beauval, Saint-Aignan, France, 3UMR 85 Physiologie de la Reproduction et des Comportements, INRAE Centre Val-de-Loire, Nouzilly, France, 4Parietal, NeuroSpin, Paris-Saclay University, Inria, CEA, Gif-sur-Yvette, France

Synopsis

We created a new object-oriented environment for MR pulse-sequence development based on IDEA VE11C and above versions using an Open Science philosophy. This Ginkgo toolkit uses a modular structure to facilitate the design of pulse sequences using the aggregation of basic open-source sequence blocks available from the toolkit. Proofs of concept of the productivity gain reached using Ginkgo are provided through the implementation of a series of sequence models including a diffusion-weighted PGSE 3D EPI sequence.

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