uMR Omega

The uMR Omega is a Class II magnetic resonance diagnostic imaging system designed to produce detailed visual information of internal anatomical structures and functions through advanced imaging and spectroscopic capabilities. Its science relies on magnetic fields and radiofrequency pulses, with recent modifications focusing on enhanced RF coils, pulse sequences, and sophisticated image processing and reconstruction methods to improve diagnostic utility and workflow efficiency.

The uMR Omega diagnostic imaging system, manufactured by Shanghai United Imaging Healthcare Co., Ltd., has been determined to be substantially equivalent to previously marketed devices. This Class II magnetic resonance diagnostic device is designed to produce sagittal, transverse, coronal, oblique cross-sectional, and spectroscopic images. These images provide visual information about the internal anatomical structure and/or function of the head, body, and extremities, which can be interpreted by a trained physician to assist in diagnosis. This version of the uMR Omega incorporates several modifications, including the addition of new RF coils, updated dimensions for the detachable patient table, and enhancements to pulse sequences. It also features new imaging processing methods such as Inline Cardiac function, Inline ECV, and Inline MOCO, as well as new workflow features like Breast Biopsy and EasyFACT. New image reconstruction methods, including SparkCo, have also been added. Comprehensive non-clinical testing was performed, encompassing surface heating, image performance, and adherence to various safety, electromagnetic compatibility, software, and biocompatibility standards, confirming that the changes do not impact the device's intended use, fundamental technology, safety, or effectiveness.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

• Q1. What specific clinical advantages do the new Inline Cardiac function, Inline ECV, and Inline MOCO imaging processing methods offer compared to previous versions or competing systems?; How do the new RF coils and enhanced pulse sequences specifically improve image quality or reduce scan times for various anatomical regions?; What were the quantitative results of the non-clinical image performance testing, particularly regarding resolution, signal-to-noise ratio, and contrast for challenging pathologies?; Could the SparkCo image reconstruction method lead to a significant reduction in acquisition time or improved image fidelity, especially for specific clinical applications?; What training or workflow adjustments are required for clinicians to effectively utilize the new Breast Biopsy and EasyFACT features, and what is their impact on diagnostic efficiency?