CT CoPilot® for
Quantitative Imaging

CT CoPilot improves workflow efficiency, measurement accuracy, and clinical confidence by providing consistent views of head CT exams and automated quantitative measurements.

OVERVIEW

A Smarter Solution for Radiologists

Automatically registers head CT images to an anatomical atlas and generates aligned reformatted images for standard viewing

Co-registers current and prior exams and generates a subtraction series

Segments and quantifies lateral ventricle volume, calculates a midline shift index, and reports change over time

STATISTICS

Research Has Shown that CT CoPilot Enables

73%

IMPROVEMENT in radiologist reading efficiency when assessing a change in ventricular volume.*

19%

IMPROVEMENT in radiologist certainty when determining a change in ventricular volume.*

*Learn more about this research, here and here.

CT CoPilot quickly and automatically provides correctly aligned images, which enables me to read head CT scans faster and more confidently. It has increased my productivity and has become indispensable in my interpretation of head CTs.

Dr. Nikdokht Farid, Neuroradiologist and Associate Professor of Radiology
UC San Diego Health

STATISTICS

Research Has Shown that CT CoPilot Enables

*Learn more about this research, here and here.

73%

IMPROVEMENT in radiologist reading efficiency when assessing a change in ventricular volume.*

19%

IMPROVEMENT in radiologist certainty when determining a change in ventricular volume.*

Automated Alignment

CT CoPilot automatically aligns head CT images to an anatomical atlas and generates aligned reformatted images for standardized, consistent viewing of cases.

Automated Subtraction Maps

CT CoPilot automatically co-registers current and prior exams and generates a subtraction series for improved conspicuity of change over time.

Current

Prior

Difference (Current-Prior)

Automated Quantification

CT CoPilot automatically segments and quantifies lateral ventricle volume, calculates a midline shift index, and measures change in these metrics over time.