Pixyl.Neuro.BV
Pixyl
Information source:
Vendor
Last updated: April 11, 2024 |
General Information
General | |
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Product name | Pixyl.Neuro.BV |
Company | Pixyl |
Subspeciality | Neuro |
Modality | MR |
Disease targeted | Neurodegenerative diseases, dementia, Alzheimer’s disease, Multiple Sclerosis, Parkinson’s disease |
Key-features | Brain volume quantification, brain segmentation, comparison with normative values, longitudinal analysis |
Suggested use | During: perception aid (prompting all abnormalities/results/heatmaps) |
Technical Specifications
Data characteristics | |
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Population | patients with known or suspected neurodegenerative disease |
Input | MR sequence, 3D T1-weighted image |
Input format | DICOM |
Output | structured quantitative report, table of quantified values, comparison with normative values, graphs of volume evolution with respect to normative values, brain MRI representative screenshots, longitudinal analysis |
Output format | PDF report, DICOM report |
Technology | |
Integration | Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased |
Deployment | Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution |
Trigger for analysis | Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc. |
Processing time | 1 - 10 minutes |
Regulatory
Certification | |
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CE |
Certified,
Class IIa
, MDR
|
FDA | 510(k) cleared , Class II |
Intended Use Statements | |
Intended use (according to CE) | Pixyl.Neuro is intended for the automatic labelling, visualization and volumetric quantification of segmentable brain structures and lesions from a set of MRI images. Volumetric measurements may be compared to reference percentile data. |
Market
Market presence | |
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On market since | 10-2019 |
Distribution channels | Incepto, GE, Siemens, Blackford |
Countries present (clinical, non-research use) | |
Paying clinical customers (institutes) | |
Research/test users (institutes) | |
Pricing | |
Pricing model | Subscription |
Based on | Number of installations, Number of analyses |
Evidence
Evidence | |
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Peer reviewed papers on performance | |
Non-peer reviewed papers on performance | |
Other relevant papers |