Bone VCAR

A deep-learning based spine assement application.

Automated spine labeling with oblique and straightened reformat generation to improve ease of reading and reporting.

Bone VCAR provides an automated spine labeling application based on a deep learning model. It can identify and label segments of the spine or the entire spine in a matter of seconds.

~ 6% of the total CT exam procedure volume is dedicated spine imaging.

Add to that the number of other routine procedures that include the spine and are referenced within an imaging report and you will find a significant number of imaging series generated every day for every scanner where identification and review of the vertebral bodies and their discs are necessary.

Bone VCAR is a software analysis package utilizing a deep learning technique that assists in the analysis and visualization of CT data.
Bone VCAR assists in identification and review of your spine reconstructions by providing automatic oblique and straightened reformats, completed within seconds and available within all workflows.

• 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

*timing specifications for Z440 platform and normal anatomy