METHOD FOR DETERMINING AT LEAST ONE RELEVANT SINGLE IMAGE OF A DENTAL SUBJECT
    31.
    发明申请
    METHOD FOR DETERMINING AT LEAST ONE RELEVANT SINGLE IMAGE OF A DENTAL SUBJECT 有权
    用于确定牙科主体的至少一个相关单个图像的方法

    公开(公告)号:US20150289756A1

    公开(公告)日:2015-10-15

    申请号:US14439826

    申请日:2013-10-30

    Inventor: Bernhard Schmitt

    Abstract: The invention relates to a method for determining at least one relevant single image, wherein a plurality of single optical images are generated during a continuous optical measurement (3) of a dental subject (1) to be recorded. During the optical measurement (3) an audio recording is generated by means of a microphone (4) and at least one speech sequence (12; 15; 28) spoken by a user (6) is recorded. The relevant single image (7; 8; 24) is then selected within a specified sequence duration between a start time (17, 18) and an end time of the speech sequence (12; 15; 28).

    Abstract translation: 本发明涉及一种用于确定至少一个相关单一图像的方法,其中在要记录的牙科对象(1)的连续光学测量(3)期间产生多个单个光学图像。 在光学测量(3)期间,通过麦克风(4)产生音频记录,并且记录由用户(6)说出的至少一个语音序列(12; 15; 28)。 然后在开始时间(17,18)和语音序列(12; 15; 28)的结束时间之间的指定的序列持续时间内选择相关的单个图像(7; 8; 24)。

    METHOD FOR RECORDING INDIVIDUAL THREE-DIMENSIONAL OPTICAL IMAGES OF A DENTAL OBJECT
    32.
    发明申请
    METHOD FOR RECORDING INDIVIDUAL THREE-DIMENSIONAL OPTICAL IMAGES OF A DENTAL OBJECT 有权
    用于记录牙科物体的个体三维光学图像的方法

    公开(公告)号:US20150206306A1

    公开(公告)日:2015-07-23

    申请号:US14421271

    申请日:2013-08-14

    Inventor: Anders Adamson

    Abstract: The invention relates to a method for recording individual three-dimensional optical images (2) to form a global image of a dental object (1) which is to be measured. After each individual image (2) is taken by means of a dental camera (3), a computer (8) automatically checks whether an overlapping area (5, 12) between the images which are to be combined meet the recording requirements determined for a correct recording. If the overlapping area (5) meets the recording requirements, the recording is carried out between the images (6, 7) to be combined and a first image sequence (9) is set in motion. Said images of the first image sequence (9) are subsequently combined to form a first cluster (23). If the overlapping area (12) of an image (13) does not meet the recording requirements, the first image sequence (9) is interrupted, an additional second image sequence (14) is automatically started with said image (13). Subsequently, the images of the second image sequence (14) are combined to form a second cluster (24).

    Abstract translation: 本发明涉及用于记录各个三维光学图像(2)以形成待测量的牙科物体(1)的全局图像的方法。 在通过牙科相机(3)拍摄每个单独的图像(2)之后,计算机(8)自动检查要组合的图像之间的重叠区域(5,12)是否满足针对 正确记录 如果重叠区域(5)满足记录要求,则在要组合的图像(6,7)之间进行记录,并且第一图像序列(9)被设置为运动。 随后组合第一图像序列(9)的所述图像以形成第一簇(23)。 如果图像(13)的重叠区域(12)不满足记录要求,则第一图像序列(9)被中断,所述图像(13)自动开始附加的第二图像序列(14)。 随后,将第二图像序列(14)的图像组合以形成第二簇(24)。

    METHOD FOR RECORDING MULTIPLE THREE-DIMENSIONAL IMAGES OF A DENTAL OBJECT
    33.
    发明申请
    METHOD FOR RECORDING MULTIPLE THREE-DIMENSIONAL IMAGES OF A DENTAL OBJECT 有权
    用于记录牙科物体的多维三维图像的方法

    公开(公告)号:US20140177931A1

    公开(公告)日:2014-06-26

    申请号:US14236517

    申请日:2012-08-01

    Abstract: The invention relates to a method for recording several three-dimensional recordings of a dental object, wherein each of the three-dimensional images comprises 3D measured data and color data of a measured surface of the object, wherein the individual images are combined to form an overall image using a computer-assisted recording algorithm, wherein first regions with hard tissue and second regions with soft tissue are identified in each of the images using a segmentation method that depends on the color data. In applying the recording algorithm, the first regions and the second regions are weighted with different weighting factors.

    Abstract translation: 本发明涉及一种用于记录牙科物体的几个三维记录的方法,其中三维图像中的每一个包括被测物体的测量表面的3D测量数据和颜色数据,其中各个图像被组合以形成 使用计算机辅助记录算法的整体图像,其中使用依赖于颜色数据的分割方法在每个图像中识别具有硬组织的第一区域和具有软组织的第二区域。 在应用记录算法时,以不同的加权因子对第一区域和第二区域进行加权。

    ADDITIVE MANUFACTURING APPARATUS WITH REMOVABLE, EXCHANGEABLE FRAME-LIKE SPACER FOIL

    公开(公告)号:US20250153435A1

    公开(公告)日:2025-05-15

    申请号:US18730073

    申请日:2023-01-24

    Abstract: The present invention relates to an additive manufacturing apparatus for additively manufacturing a component including: a resin vat unit which includes: a reservoir for storing UV-light photocurable resin; and a frame assembly holding a UV-transparent window at the bottom of the reservoir, said UV-transparent window includes a UV-transparent plate and a UV-transparent anti-adhesive flexible foil; a projection unit for projecting UV-light through the UV-transparent window into the reservoir; and a movable building platform having a surface onto which said component can be formed through layerwise curing of said resin. The UV-transparent window further includes a removable frame-like spacer foil which has a predetermined thickness and can be removably mounted by means of the frame assembly between the UV-transparent plate and the UV-transparent anti-adhesive flexible foil in order to create a plate-foil air gap; and at least one air hole for communicating said plate-foil air gap with the atmosphere.

    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.

    INTRAORAL X-RAY SENSOR FOR AUTOMATIC EXPOSURE CONTROL

    公开(公告)号:US20240307020A1

    公开(公告)日:2024-09-19

    申请号:US18576820

    申请日:2022-06-27

    CPC classification number: A61B6/542 A61B6/488 A61B6/512 A61B6/548

    Abstract: The present invention relates to an intraoral X-ray sensor for use with an intraoral X-ray system having an automatic exposure control (AEC) functionality, characterized in that the intraoral X-ray sensor includes an exposure analysis unit, an imaging X-ray detector, and a communication interface, wherein a scout shot or scout video stream received from the imaging X-ray detector is analyzed by the exposure analysis unit in the intraoral X-ray sensor in order to record information on the exposure level of the scout image or video stream and to forward this information by means of the communication interface to a decision unit of the intraoral X-ray system, which is arranged externally to the intraoral X-ray sensor, and adapted for evaluation and decision of further exposures.

    DETERMINATION OF SURFACES AND VOLUMES WORTH PROTECTING IN ADDITIVE/SUBTRACTIVE MANUFACTURING JOBS WITH NEURAL NETWORKS

    公开(公告)号:US20240296264A1

    公开(公告)日:2024-09-05

    申请号:US18578357

    申请日:2022-07-12

    Inventor: Christian STAHL

    CPC classification number: G06F30/27 A61C13/0004 A61C13/34 B33Y50/00 B33Y80/00

    Abstract: A computer-implemented method for the automatic generation of component-describing data for use in a preparation of additive/subtractive manufacturing jobs for dental components such as splints, denture bases, models, restorations such as bridges and crowns, in which for each at least one component type a specialized pre-trained neural network is used for setting surface and/or volume attributes of the dental component, in which the surface and volume attributes describe the accuracy and quality requirements of construction elements of the dental components with regard to the intended use, in which the accuracy and quality requirements comprise at least one of the following: geometric dimensional accuracy, mechanical strength, surface texture color, and the avoidance of the attachment of support elements, in which the neural network has been pre-trained by means of dental components for which the surface and/or volume attribution has already been carried out.

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