SELF-CALIBRATING DENTAL DVT SUPPORTED BY MACHINE LEARNING

Aspects relate to geometric calibration of a DVT imaging, by updating the geometric parameters used in a reconstruction method, in which the updating of the geometric parameters is supported by a first correction method based on machine learning (ML) by using the result of a first correction method...

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Bibliographische Detailangaben
Hauptverfasser: MAUR, Susanne, HUELSBUSCH, Markus
Format: Patent
Sprache:eng
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Zusammenfassung:Aspects relate to geometric calibration of a DVT imaging, by updating the geometric parameters used in a reconstruction method, in which the updating of the geometric parameters is supported by a first correction method based on machine learning (ML) by using the result of a first correction method as a reference for a second correction method for parameter estimation, and in which the second correction method for parameter estimation involves the measurement data of the DVT imaging, which includes the following steps: (S1) providing the measurement data of the DVT imaging and the geometric parameters; (S2) providing a first volume by applying a reconstruction method to the provided measurement data and the geometric parameters; (S3) providing a corrected volume by applying the first correction method to the first volume; (S4) providing updated geometric parameters by applying the second correction method to the measurement data and the corrected volume.