Bone VCAR

Spine assessment with deep-learning based CT application.

At a glance

Efficiency

Automated spine identification and labelling.

Consistency

>90% labeling accuracy based on Deep learning algorithm trained on global datasets acquired with a broad range of acquisition parameters.

Workflow

Automated curved reformats to aid in rapid reading and reporting.

Features

  • Automated spine labeling
  • Automated generation of a 3D trace to generate oblique and straightened reformat views
  • Automated generation of oblique views perpendicular to vertebral bodies and disc spaces
  • Easily edit the centerline to ensure accurate placement in the most challenging cases
  • Accessible for any exam type: trauma, oncology, dedicated spine, general imaging
  • Load multiple series and vertebrae labeling will propagate to the different volumes
  • Works on full spine acquisitions as well as limited acquisitions containing segments of the spine
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JB28622XX March 2024