Abstract #1136

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

Sneha Potdar¹, Pavan Poojar^1,2, Ashok kumar Reddy², Keerthi Sravan^1,3, Stefan Kroboth⁴, Jon-Fredrik Nielsen⁵, Maxim Zaitsev⁴, Ramesh Venkatesan², and Sairam Geethanath^1,6

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here