![](data:image/png;base64,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)
Der VitaScan V2 ist der neue Standard des Tragbaren Echtzeit Blasen Scan´s
Mit USB-Anschluss zu Tablets, Laptops und PCs, stellt die VitaScan LT eine grenzenlose Möglichkeiten zur Konnektivität, Datenspeicherung, EMR Integration und zukünftige Upgrades.
VitaScan LT
- - Keine Sonographer Fähigkeiten erforderlich.
- - One-Button-Steuerelemente Test-Start und Stop.
- - Vollautomatische Mehrebenen-Scans von einer Position
- - Drei Scan-Tiefen:
- 10 cm: für Kinder.
- 16 cm: für Erwachsene.
- 23 cm: für Übergewichtige.
VitaScan LT Software
VitaScan LT Software ist intuitiv und einfach zu bedienen. Benutzer steuern die gesamte Prüfung von der Taste auf dem Scanner oder mit der Maus oder Touchscreen.
- Auto Location und Auto Tracking der Blase in Real-Time.
- Physiologische Anomalien, welche die Volumenberechnung beeinflussen können, werden visualisiert.
- Manuelle Korrekturen können einfach durchgeführt werden.
- Erweiterte Signal- und Bildverarbeitung für scharfe und klare Bilder.
- Ganzseitige Berichte in JPEG und Dicom.
- Post-Test-Qualitätsindikatoren helfen, Nutzer optimale Egebnisse zu erzielen.
- Protokollierung aller Scans.