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Simulated Diagnostic Performance of Ultra-Low-Field MRI: Harnessing Open-Access Datasets to Evaluate Novel Devices

2021-07-05

Abstract excerpt

The purpose of this study is to demonstrate a method for virtually evaluating novel imaging devices using machine learning and open-access datasets, here applied to a new, ultra-low-field strength (ULF), 64mT, portable MRI device. Paired 3T and 64mT brain images were used to develop and validate a transformation converting standard clinical images to ULF-quality images. Separately, 3T images were aggregated from o...

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Literature Corpus work
8ceb4275-a223-50fc-a9a6-8ad3b77b555b
DOI
10.1101/2021.07.02.21259789
Open publication

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Simulated Diagnostic Performance of Ultra-Low-Field MRI: Harnessing Open-Access Datasets to Evaluate Novel DevicesDOI 10.1101/2021.07.02.21259789
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