Artificial intelligence-enabled localization of anatomical landmarks

US11475559B2 · kind B2 · utility

Assignee

• KONINIKLIJKE PHILIPS N.V. · NL

Inventors

• Fabian Wenzel · Hamburg, DE
• TOM BROSCH · Hamburg, DE

Key dates

• Filing date: Nov 16, 2018
• Grant date: Oct 18, 2022
• Expiry date: Jul 9, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20081
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

The present disclosure relates to a method for medical imaging method for locating anatomical landmarks of a predetermining defined anatomy. The method comprises: a) providing a machine learning model for predicting anatomical landmarks in image data obtained using a set of acquisition parameters and for predicting a subsequent set of acquisition parameters of the set of acquisition parameters for subsequent acquisition of image data; b) determining 5 a current set of acquisition parameters; c) receiving survey image data representing a slice of the anatomy, the survey image data having the current set of current acquisition parameters; d) identifying anatomical landmarks in the received image data using the machine learning model; e) predicting another set of acquisition parameters using the machine learning model and repeating steps c)-e) for a predefined number of repetitions using the predicted set of 10 acquisition parameters as the current set of parameters; and f) providing the identified anatomical landmarks.