STAGE
Spintech, Inc. · Model 2 · UDI-DI 00866463000441
Description
STAGE works as a comprehensive brain imaging post-processing solution. The STAGE system consists of a client supplied dedicated computer with an ethernet connection to the client’s existing local network. The STAGE software will operate within a virtual machine environment (virtual STAGE module) on this dedicated computer. The computer receives DICOM data from a specific MRI 3D GRE scan protocol (i.e., the STAGE protocol) and then outputs back numerous DICOM datasets with different types of contrast to the PACS server. The data transfer is initiated by the user’s current DICOM viewing software. STAGE has been modified from the predicate to include CROWN, a white noise filtering algorithm intended to improve specific STAGE outputs. The following table provide a summary of the methodology for each output with an example image and technical comparison to the predicate.
Recalls
| Date | Firm | Reason |
|---|---|---|
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
| 2026-04-14 | Philips North America | The potential for stiffness value errors when a specific range of image reconstruction parameters is used in combination with Resoundant's algorithm, leading to the reconstruction |
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