GPT4MR: Exploring GPT-4 as an MR Sequence and Reconstruction Programming Assistant

MCML Authors

Vladimir Golkov

Dr.

* Former Member

→ Group Daniel Cremers
 Computer Vision & Artificial Intelligence

Daniel Cremers

Prof. Dr.

Director

Computer Vision & Artificial Intelligence

Abstract

The programming of MRI sequences remains a challenging and time-consuming task for researchers, technicians and students alike. With the Pulseq standard, this process recently became simpler. In this study, we investigated the potential of GPT-4, an advanced large language model (LLM) capable of programming and producing natural language, as an MRI sequence programming assistant using the Pulseq framework, accelerating MR prototyping in development and education.<br>

inproceedings ZDG+23

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ESMRMB 2023

39th Annual Meeting of the European Society for Magnetic Resonance in Medicine and Biology. Basel, Switzerland, Oct 04-07, 2023.

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Authors

M. Zaiss • H. N. Dang • V. Golkov • J. R. Rajput • D. Cremers • F. Knoll • A. Maier

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Links

URL

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Research Area

 B1 | Computer Vision