System and method for an automated measurement of ossification of an iliac crest apophyses of the ilium of a pelvic bone for the assessment of risser stages

Abstract

One or more example embodiments relates to a system for a measurement of ossification of an iliac crest apophyses of an ilium of a pelvic bone for an assessment of Risser stages, the system comprising a data interface configured to receive a fluoroscopic image which depicts at least the ilium of the pelvic bone; a landmark model configured to recognize landmarks in the fluoroscopic image using machine learning, and the landmark model trained to identify at least one lateral starting point, one current ossification point and one medial end point of ossification as landmarks, wherein the system is configured to determine sections between at least one lateral starting point, one current ossification point and one medial end point of ossification, the sections represent distances at least from the starting point to the current ossification point and from the starting point or the current ossification point to the end point.

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