MRI4All: A Week-Long Hackathon for the Development of an Open-Source Ultra-Low-Field MRI System

作者：Sai Abitha Srinivas, Leeor Alon, Akbar Alipour, Anaïs Artiges, Kai Tobias Block, Fernando E. Boada, Doug Bratner, Ryan Brown, Jingjia Chen, Vito R. Ciancia, Clarissa Cooley, Tarun Dutt, David C. Garrett, Sairam Geethanath, Bernhard Gruber, Dinank Gupta, Carlotta Ianniello, Ilknur Icke, Kalina V. Jordanova, Hector Lise de Moura, Yvonne W. Lui, Andrew Mao, Jonathan Martin, Anmol Monga, Amritha Musipatla, Shounak Nandi, Aaron Purchase, Thiago R. P. M. Rúbio, Amanpreet Saimbhi, Anja Samardzija, Charlotte R. Sappo, Greg Shakar, Yun Shang, Jeff Short, Daniel K. Sodickson, Jason Stockmann, Zach Stoebner, Heng Sun, Florin Teleanu, Sebastian Theilenberg, Radhika Tibrewala, Antonio Verdone, George C. Verghese, Roy Wiggins, B. Xin, Guang Yang, Chengtong Zhang, Horace Zhang, Ruoxun Zi, Riccardo Lattanzi, Nora Krassnig-Plass, Karthik Lakshmanan, K. Uday Kiran, Lavanya Umapathy, L. Chen, Alex Nwigwe · 发表于：Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 年份：2024 · DOI：10.58530/2024/0423 · 被引用次数：2 · 研究领域：Biomedical and Engineering Education

Motivation: To break the accessibility barrier of high-field MRI, we demonstrate that hardware and software systems necessary for an affordable MRI system, can be designed and constructed within a week using open-source tools and conventional 3D printing approaches. Goal(s): To illustrate the realization of an ultra low field MRI system fully operational using open source toolsApproach: Over the course of a week, researchers across the USA have assembled to build the main magnet, field homogenization, gradient, radio-frequency (RF), and software systems needed for the creation of MRI. Results: We present, for the first time, a community-driven open-source MRI system built within a week. Impact: to introduce a community-driven open-source MRI low-field systems have the capability to widely democratize MRI throughout the community and the world.