Philips Affiniti50 Premium Shared Service Ultrasound System Monitor with Auto ElastQ AIUS for Cardiology OB/GYN Radiology Philips Affiniti 50
$52000.00~58000.00 / Parcel Min.order:1
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Philips Affiniti 50 Premium Shared Service Ultrasound System Monitor with Auto ElastQ AIUS for Cardiology OB/GYN Radiology
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- 1. Premium Shared Service Platform - One System for Multiple Clinical Departments The Affiniti 50 is a premium shared service ultrasound system built on the same platform as the EPIQ series. It excels across cardiology, OB/GYN, vascular, radiology, musculoskeletal, and point-of-care applications, enabling departments to share one high-performance system across multiple clinical needs.
- 2. Crystal Transducer Technology - Exceptional Imaging in Difficult Patients crystal technology uses uniformly arranged piezoelectric elements to deliver ultra-wide dynamic range and unique beam reconstruction, reinforcing exceptional tissue information at greater depths with less noise. Ideal for technically difficult patients including those with high BMI.
- 3. Precision Beamforming with Tissue Specific Presets (TSP) Affiniti 50's precision beamforming with a wide dynamic range delivers superb spatial and contrast resolution, outstanding tissue uniformity, few artifacts, and reduced image clutter. TSP automatically adjusts over 7,500 parameters to optimize the transducer for each exam type.
- 4. Auto ElastQ - Automated Liver Elastography with Real-Time Shear Wave Quantification Perform automated liver elastography with Auto ElastQ for next-generation liver health assessment. Designed to simplify user workflow with real-time, quantitative shear wave measurements, Auto ElastQ automatically analyzes shear wave elastography data and identifies optimal measurement frames and ROI.
- 5. SonoCT Real-Time Compound Imaging + XRES Speckle Reduction SonoCT applies electronic steering of up to 9 frames at different steering angles, compounding them into one image at real-time frame rates. XRES adaptive image processing reduces speckle, haze, and clutter artifacts using proprietary contextural algorithms, delivering sharper images with enhanced tissue differentiation.
