# K233733: SyMRI

- Pathway: 510(k) (Traditional)
- Applicant: Syntheticmr AB (Publ.)
- Decided: Mar 26, 2024 after 126 days
- Product code: LNH (System, Nuclear Magnetic Resonance Imaging)
- Device class: 2
- Regulation: 21 CFR 892.1000
- Recalls of this device: none
- Data: FDA decisions to Oct 25, 2026; recalls to Oct 12, 2026

## Lineage
Longest line of descent: 1 generation back to K203372 (2021). 1 ancestor in all.
1 later device descends from it; 1 cites it directly.
0 of 3 devices in its family (counting itself) have a Class I recall.

## Predicates on the family tree (from the FDA summary)
- K203372: SyMRI, Syntheticmr AB (2021) Summary page 4.

## Most influential descendants
- K242524: SyMRI (2024), 0 descendants of its own

## Indications for use
SyMRI is a post-processing software medical device intended for use in visualization of soft tissue. SyMRI analyzes input data from MR imaging systems. SyMRI utilizes data from supported MR sequences to generate parametric maps of R1, R2 relaxation rates, and proton density (PD) SyMRI is intended for automatic labeling, visualization and volumetric quantification of segmentable brain tissues from a set of MR images. Brain tissue volumes are determined based on modeling of parametric maps from SyMRI. When interpreted by a trained physician, the parametric maps, tissue maps, and volumetrics from SyMRI can provide information useful in determining diagnosis. SyMRI is indicated for head imaging. SyMRI can also generate multiple contrast weighted images from the parametric maps generated by post-processing data from M2D-MDME sequence. SyMRI enables post-acquisition image contrasts adjustments from acquisition using M2D-MDME sequence. When M2D-MDME acquisition data is used as input to SyMRI the synthetic contrast weighted images can also provide information useful in determining diagnosis. SyMRI is intended to be used in combination with at least one other, conventional MR acquisition (e.g. T2-FLAIR).

Source page: https://510kreport.com/device/K233733
Methodology: https://510kreport.com/methodology