METHOD FOR ACQUIRING A DENTAL OBJECT

    公开(公告)号:US20210307637A1

    公开(公告)日:2021-10-07

    申请号:US17352457

    申请日:2021-06-21

    Abstract: Disclosed herein is a method for acquiring a dental object of a patient with an object volume, in particular at least a part of a skull, an upper jaw and/or a lower jaw. To do so, a plurality of segment volume ranges are defined in the object volume, where the segment volume ranges overlap at most partially and directions of the segment volume ranges are not parallel to one another. The image data of the segment volume ranges is recorded by an MRI machine within a measuring volume of the MRI machine A two-dimensional composite image is generated from the image data of the individual segment volume ranges by projecting the image data onto a target plane. The target plane is disposed parallel to a defined midsagittal 10 plane of the skull or corresponds to the midsagittal plane, where a first segment volume range at least partially includes the midsagittal plane of the skull.

    METHOD FOR ACQUIRING A DENTAL OBJECT
    2.
    发明申请

    公开(公告)号:US20180160931A1

    公开(公告)日:2018-06-14

    申请号:US15837049

    申请日:2017-12-11

    Abstract: Disclosed herein is a method for acquiring a dental object of a patient with an object volume, in particular at least a part of a skull, an upper jaw and/or a lower jaw. To do so, a plurality of segment volume ranges are defined in the object volume, where the segment volume ranges overlap at most partially and directions of the segment volume ranges are not parallel to one another. The image data of the segment volume ranges is recorded by an MRI machine within a measuring volume of the MRI machine. A two-dimensional composite image is generated from the image data of the individual segment volume ranges by projecting the image data onto a target plane. The target plane is disposed parallel to a defined midsagittal plane of the skull or corresponds to the midsagittal plane, where a first segment volume range at least partially includes the midsagittal plane of the skull.

    AUTOMATIC GENERATION OF A REPROJECTION PANORAMIC VIEW FROM DENTAL DVT VOLUMES USING MACHINE LEARNING METHODS

    公开(公告)号:US20250104182A1

    公开(公告)日:2025-03-27

    申请号:US18290839

    申请日:2022-07-11

    Abstract: The present invention relates to a method for automatically generating a projection panoramic view (RPV) from a dental DVT volume of a patient, comprising the steps of; (S1) localizing dental relevant anatomical structures in the DVT volume by using a machine learning method; (S2) automatically placing a guide curve by optimizing it based on the position of the localized dental relevant anatomical structures; (S3) defining a projection region of the reprojection panoramic view using the placed guide curve without manual steps in the DVT volume so that the localized dental relevant anatomical structures are encompassed; (S4) creating the reprojection panoramic view by reprojecting the DVT volume in the defined projection region.

    METHOD AND SYSTEM FOR GENERATING DENTAL PANORAMIC IMAGES WITH SHARPENED DEPICTION OF CLINICALLY RELEVANT, PATIENT-SPECIFIC PRE-SELECTED ANATOMICAL STRUCTURES

    公开(公告)号:US20250029292A1

    公开(公告)日:2025-01-23

    申请号:US18714600

    申请日:2022-12-05

    Abstract: Reconstructing a panoramic image of a patient's dental regions, including: providing at least one initial panoramic image reconstructed by using a plurality of projectional images of the patient and an initial layer including the mapping points corresponding to the patient's dental regions, to be sharply depicted in the initial panoramic image further including: detecting one or more clinically relevant patient-specific pre-selected anatomical structures in the initial panoramic; computing, using the anatomical data and the initial panoramic image, a new layer which includes the clinically relevant patient-specific pre-selected anatomical structure to provide a sharper depiction of the clinically relevant patient-specific pre-selected anatomical structures in a new panoramic image to be reconstructed compared to the depiction of the clinically relevant patient-specific pre-selected anatomical structure in the initial panoramic image; and reconstructing the new panoramic image using the plurality of projectional images of the patient and the computed new layer.

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