Vitrea Image Denoising is a software-based, post-processing filter designed to be used in conjunction with original image data. It assists clinicians in the enhancement of 3D and MPR CT and XA image presentation by enabling pixel noise reduction while preserving edge detail, spatial size and 3D structure within the original images. Image Denoising is accomplished by using Vital’s Structure Preserving Diffusion Algorithm (SPD).

Key Features

• SPD denoising algorithm
  • Customized filter
  • Reduced pixel noise
  • Improved signal contrast to noise ratio (SNR)
• Real time toggle between original and denoised volumes
• Predefined image filter presets may be modified and saved for future use
• Interactive denoising preview capability
• Compatible with multi-phase and multi-volume datasets within select corresponding protocols

Additional Features

• Cost effective solution for Vitrea deployments
  • No additional hardware required
  • Denoise images from any scanner generation or vendor
  • PACS integration with VitreaAdvanced™ deployments
• Ability to generate a denoised dataset to export to PACS for comparison with the original image data