Swoop® Portable MR Imaging System®

The Swoop® Portable MR Imaging System® is designed to provide accessible, ultra-low field magnetic resonance imaging of the head at the point-of-care, utilizing software-modified pulse sequences (T1W, T2W, FLAIR, DWI) and deep learning-enhanced image reconstruction for T1W, T2W, and FLAIR. This iteration incorporates software updates to pulse parameters, image reconstruction for key sequences, and DWI post-processing, including expanded advanced denoising, to provide diagnostically useful images where conventional MRI is impractical.

The Swoop® Portable MR Imaging System® is an ultra-low field (63.3 mT) magnetic resonance imaging device designed for producing images of the internal structure of the head in settings where conventional full diagnostic examinations are not clinically practical, such as at the point of care in emergency rooms, critical care units, hospitals, or rehabilitation rooms. It aims to provide information useful for diagnosis when interpreted by a trained physician, catering to both adult and pediatric patients (0 years and older). The system utilizes a commercial off-the-shelf tablet as its main interface for operating the system, accessing patient data, exam setup and execution, viewing MRI image data for quality control, and managing cloud storage interactions. It is capable of generating MRI data sets with a broad range of contrasts including T1-weighted (T1W), T2-weighted (T2W), FLAIR, and Diffusion-Weighted Imaging (DWI). This iteration of the Swoop system introduces software modifications primarily related to pulse sequence parameters for T1W, T2W, FLAIR, and DWI. It also features updated image reconstruction algorithms for T1W, T2W, and FLAIR sequences, which employ deep learning techniques to improve image quality by reducing image noise and blurring. Furthermore, DWI image post-processing has been modified, notably including 'Advanced Denoising' now applicable to DWI sequences in addition to T1W, T2W, and FLAIR. Non-clinical performance data, including software verification, image performance testing (benchmarked against NEMA and ACR standards), and software validation, demonstrated that the device meets its design requirements and applicable standards. Testing for biocompatibility, cleaning/disinfection, electrical safety, EMC, specific absorption rate (SAR), and cybersecurity was leveraged from the predicate device as modifications did not introduce new worst-case scenarios.

AI Regulatory Concerns

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• Q1. How does the image quality, particularly signal-to-noise ratio and spatial resolution, of the ultra-low field (63.3 mT) Swoop system for DWI sequences compare to conventional MRI, and what is the clinical impact of the new DWI post-processing modifications?; What specific enhancements do the modified pulse sequence parameters for T1W, T2W, and FLAIR offer in terms of scan time, contrast, or artifact reduction compared to the predicate device?; Can the deep learning algorithms used for T1W, T2W, and FLAIR image reconstruction be retrained or updated in the field, and what is the process for validating such updates to ensure continued diagnostic accuracy?; Considering its portability and point-of-care use, what are the specific environmental or patient-related factors that might most significantly impact the performance and image quality of this ultra-low field MRI system?; How does the 'Advanced Denoising' applied to DWI sequences in this iteration differ algorithmically from the denoising applied to T1W, T2W, and FLAIR, and what quantifiable improvements in DWI image quality have been demonstrated through non-clinical testing?