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Spectral CT

Spectral CT

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Full Spectral Transformation

Deep Learning Spectral*1

  • Multi-energy raw data sets transformed into both a full high and low energy separated set.
  • Energy separation for Spectral analysis with high resolution and low noise
  • Easy to use, and fully integrated with automatic transfers of monochromatic volumes, iodine maps1 and VNC images to PACS.
  • Spectral material differentiation and characterization evaluations launched directly from PACS with integration of Vitrea Advanced Visualization*3 software.
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Full Spectral Transformation

World's first Spectral Deep Learning Reconstruction

The advantage of Deep Learning Spectral*1 reconstruction is it's ability to transform multi-energy raw data sets into two full high and low energy separated sinograms. This provides excellent energy separation for Spectral analysis with the high resolution and low noise properties you would expect from a routine diagnostic CT exam.

16 cm1 Wide-Area
Spectral CT

Rapid kV switching, Auto Exposure, 16 cm volume
Multiple kVp, High kVp, Low kVp

An extensive suite of Spectral analysis applications2,3

H20,Pe,keV,I

*Available on Aquilion ONE / INSIGHT Edition, Aquilion ONE / Prism Edition, Aquilion ONE / GENESIS Edition
1Option
2Gray scale iodine maps directly from CT console, color iodine maps only with Advanced Vitrea application.
3In combination with Vitrea® Advanced Visualization.