Abstract #1279

Comparison of mtrk, Pulseq, and vendor sequences using simulated, phantom, and in-vivo acquisitions

Anais Artiges^1,2, Amanpreet Singh Saimbhi^1,2, Carlos Castillo-Passi^3,4,5, Eros Montin^1,2, Ilias Giannakopoulos^1,2, Riccardo Lattanzi^1,2, and Kai Tobias Block^1,2

¹Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, ²Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, ³School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ⁴Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Santiago, Chile, ⁵Millennium Institute for Intelligent Healthcare Engineering (iHEALTH), Pontificia Universidad Católica de Chile, Santiago, Chile

Synopsis

Keywords: Software Tools, Software Tools, Open-source

Motivation: Pulse-sequence development traditionally relies on proprietary and access-restricted vendor SDKs. Open-source frameworks can make pulse-sequence programming more intuitive and accessible.

Goal(s): Establish mtrk as an open-source web-based tool for developing or converting custom MRI pulse sequences into a standardized format.

Approach: mtrk was used to design a spin-echo sequence, which was then converted into Pulseq format. Both versions were evaluated in phantom and in vivo scans. The results were compared to images from a vendor sequence.

Results: Images from the mtrk, Pulseq, and vendor sequences showed high similarity. Phantom results matched synthetic images simulated for the same sequence using KomaMRI.

Impact: mtrk can improve the reproducibility, accessibility, and dissemination of pulse sequences through an intuitive development environment. Its human-readable descriptive language, its compatibility with Pulseq, and its agreement with vendor sequences make mtrk a powerful open-source tool for MRI pulse-sequence development.

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