Controlling an alert signal for spectral computed tomography imaging

Abstract

A mechanism for identifying potential areas of clinical relevance that are not readily visible in non-spectral CT image data. The non-spectral CT image data is processed using a machine-learning method to produce predicted spectral CT image data. The predicted spectral CT image data is compared to (actual) spectral CT image data to identify any differences between the two. Any identified differences are used to control an alert signal, for instance, to draw a clinician or other user's attention to possible areas of clinical relevance that are not readily visible in the non-spectral CT image data.

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