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Abstract #1136

Pulseq-GPI: A single, comprehensive framework for MR method development

Sneha Potdar1, Pavan Poojar1,2, Ashok kumar Reddy2, Keerthi Sravan1,3, Stefan Kroboth4, Jon-Fredrik Nielsen5, Maxim Zaitsev4, Ramesh Venkatesan2, and Sairam Geethanath1,6

1Medical Imaging Research Center, MIRC, Dayananda Sagar Institutions, Bengaluru, India, 2Wipro GE Healthcare Pvt Ltd, Bengaluru, India, 3New York University Tandon School of Engineering, New York, NY, United States, 4Dept of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, Freiburg, Germany, 5Functional MRI Laboratory, University of Michigan, Michigan, MI, United States, 6Dept. of Radiology, Columbia University Medical Center, New York, NY., Columbia, SC, United States

This work develops and integrates an open source implementation of the Pulseq framework with Graphical Programming Interface (GPI). The purpose is to provide a single, open-source platform for comprehensive MR algorithm design, development, deployment and analysis. The Pulseq framework was implemented in Python and integrated with GPI. In this work, a Spin Echo sequence was implemented, deployed through an interpreter to a scanner, and reconstructed and visualized in Pulseq-GPI. The code execution times of three variants of Pulseq implementations (MATLAB, Python and Pulseq-GPI) were compared. Also, the functionalities available in Pulseq-GPI framework and other open source tools were tabulated.

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