Benchmarking the performance of a low-cost magnetic resonance control system at multiple sites in the open MaRCoS community.
Teresa Guallart-NavalThomas O'ReillyJosé M AlgarínRuben Pellicer-GuridiYolanda Vives-GilabertLincoln Craven-BrightmanVlad NegnevitskyBenjamin MenkücFernando GalveJason P StockmannAndrew G WebbJoseba AlonsoPublished in: NMR in biomedicine (2022)
The results presented here show that a number of different sequences commonly used in the clinic can be programmed into an open-source system relatively quickly and easily, and can produce good quality images even at this early stage of development. Both the hardware and software will continue to develop, and it is an aim of this article to encourage other groups to join this international consortium.
Keyphrases
- low cost
- magnetic resonance
- early stage
- deep learning
- mental health
- minimally invasive
- primary care
- convolutional neural network
- healthcare
- optical coherence tomography
- sentinel lymph node
- contrast enhanced
- quality improvement
- data analysis
- squamous cell carcinoma
- computed tomography
- radiation therapy
- magnetic resonance imaging
- genetic diversity
- lymph node
- machine learning