Veterinary radiology
VET-TECH DR4343

GER innovation and exclusivity

PICOXIA : Artificial intelligence veterinary diagnostic aid

  • With thorax and abdominal pattern detection
  • Automated computing of clinical indices (VHS/Dysplasia)

GER direct digital radiology

Last generation direct digital acquisition:

  • GER «All in one» touchscreen console with PICOXIA software for image processing
  • 43*43cm High Resolution flat panel detector
  • Optimum image quality
  • Lower X-Ray doses with Csl technology
GER «All in one» touchscreen console with PICOXIA software for image processing

Advance your radiology!

  • Automatic VHS and dysplasia analysis
  • Save time with flat panel detector technology
  • Complete image processing software (contrasts, measurements ...)
  • Transfer in JPEG and DICOM to the client file
  • Complete customer report with PICOXIA
Technical specifications
Direct digital acquisition GER DR 4343

Scintillator

Csl

Dimensions ( L x l x h )

460 mm x 460 mm x 15,1 mm (18.1" x 18.1" x 0.6")

Weight

4.7 kg (10.4 lbs)

Pixel matrix

3,072 x 3,072 pixel

Active area

43 cm x 43 cm (17“ x 17“)

A/D conversion

14 bits

Spatial resolution

min. 4.0 lp/mm

Image transfer time

2s

Max. power consumption

16 W

Synchronisation

AED (Automatic Exposure Detection) / external trigger

GER PicoxIA console

Software controls detector, image acquisition and optimization, connects dose area product measurement device, Data storage & Option: Artificial intelligence for diagnostic aid

Scintillator Csl

Dimensions ( W x H x D ) 460 mm x 460 mm x 15,1 mm (18.1" x 18.1" x 0.6")

Weight 4.7 kg (10.4 lbs)

Pixel matrix 3,072 x 3,072 pixel

Active area 43 cm x 43 cm (17“ x 17“)

A/D conversion 14 bits

Spatial resolution min. 4.0 lp/mm

Image transfer time 2 s

Max. power consumption 16 W

Synchronisation AED (Automatic Exposure Detection) / external trigger

GER PicoxIA console Software controls detector, image acquisition and optimization, connects dose area product measurement device, Data storage & Option: Artificial intelligence for diagnostic aid