公开(公告)号：US20240016446A1

公开(公告)日：2024-01-18

申请号：US18039421

申请日：2020-12-16

申请人： IMAGOWORKS INC.

发明人： Youngjun KIM ,  Bonjour SHIN ,  Hannah KIM ,  Jinhyeok CHOI

IPC分类号： A61B5/00 ,  G06T17/00 ,  G06T7/00 ,  G06V10/44 ,  G06V10/764 ,  G16H30/20 ,  A61C9/00

CPC分类号： A61B5/4547 ,  G06T17/00 ,  G06T7/0012 ,  G06V10/44 ,  G06V10/764 ,  G16H30/20 ,  A61C9/0053 ,  G06V2201/07 ,  G06T2207/20084 ,  G06T2207/30036

摘要： A method for automatically detecting a landmark in three-dimensional (3D) dental scan data includes projecting 3D scan data to generate a two-dimensional (2D) depth image, determining full arch data obtained by scanning all teeth of a patient and partial arch data obtained by scanning only a part of teeth of the patient by applying the 2D depth image to a convolutional neural network model, detecting a 2D landmark in the 2D depth image using a fully-connected convolutional neural network model and back-projecting the 2D landmark onto the 3D scan data to detect a 3D landmark of the 3D scan data.

公开(公告)号：US20230306677A1

公开(公告)日：2023-09-28

申请号：US18111709

申请日：2023-02-20

申请人： IMAGOWORKS INC.

发明人： Hannah KIM ,  Bonjour SHIN ,  Jinhyeok CHOI ,  Youngjun KIM

IPC分类号： G06T15/08 ,  G06T7/50 ,  G06V10/60 ,  G06V10/74 ,  G06V40/16

CPC分类号： G06T15/08 ,  G06T7/50 ,  G06V10/60 ,  G06V10/761 ,  G06V40/171 ,  G06T2207/10028 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/20084 ,  G06T2207/30201

摘要： An automated registration method of 3D facial scan data and 3D volumetric medical image data using deep learning, includes extracting scan landmarks from the 3D facial scan data using a convolutional neural network, extracting volume landmarks from the 3D volumetric medical image data using the convolutional neural network and operating an initial registration of the 3D facial scan data and the 3D volumetric medical image data using the scan landmarks and the volume landmarks.

公开(公告)号：US20220398738A1

公开(公告)日：2022-12-15

申请号：US17835390

申请日：2022-06-08

申请人： IMAGOWORKS INC.

发明人： Eungjune SHIM ,  Jung-Min HWANG ,  Youngjun KIM

IPC分类号： G06T7/11 ,  G06T7/12 ,  G06T7/66 ,  G06V10/25 ,  G06V10/82

摘要： A method of automated tooth segmentation of a three dimensional scan data using a deep learning, includes determining a U-shape of teeth in input scan data and operating a U-shape normalization operation to the input scan data to generate first scan data, operating a teeth and gum normalization operation, in which the first scan data are received and a region of interest (ROI) of the teeth and gum is set based on a landmark formed on the tooth, to generate second scan data, inputting the second scan data to a convolutional neural network to label the teeth and the gum and extracting a boundary between the teeth and the gum using labeled information of the teeth and the gum.

公开(公告)号：US20240341927A1

公开(公告)日：2024-10-17

申请号：US18754386

申请日：2024-06-26

申请人： IMAGOWORKS INC.

发明人： Jinhyeok CHOI ,  Hannah KIM ,  Tae-geun SON ,  Youngjun KIM

IPC分类号： A61C9/00 ,  G06T7/00 ,  G06T11/20

CPC分类号： A61C9/0053 ,  G06T7/0012 ,  G06T11/203 ,  G06T2207/10081 ,  G06T2207/20101 ,  G06T2207/30036

摘要： An automated method for aligning 3D (three-dimensional) dental data includes extracting landmark points of a CT (computerized tomography) data, extracting landmark points of scan data of a digital impression model, determining an up vector representing a direction of a patient's eyes and nose and identifying left and right of the landmark points of the scan data, extracting a teeth portion of the scan data, searching a source point of the scan data on a spline curve of the CT data to generate a candidate target point group and determining the candidate target point group having a smallest error with the landmark points of the CT data as a final candidate.

公开(公告)号：US20230206455A1

公开(公告)日：2023-06-29

申请号：US18087846

申请日：2022-12-23

申请人： IMAGOWORKS INC.

发明人： Seongjun TAK ,  Eungjune SHIM ,  Youngjun KIM

IPC分类号： G06T7/12 ,  G06T7/73

CPC分类号： G06T7/12 ,  G06T7/73 ,  G06T2207/20084 ,  G06T2207/30036

摘要： An automated method includes detecting a tooth of the scan data using a first artificial intelligence neural network, extracting a tooth scan data from the scan data based on a result of a tooth detection, generating a tooth mapped data corresponding to a predetermined space based on the tooth scan data, generating the tooth boundary curve by inputting the tooth mapped data to a second artificial intelligence neural network and mapping the tooth boundary curve to the scan data.

公开(公告)号：US20230206450A1

公开(公告)日：2023-06-29

申请号：US17983525

申请日：2022-11-09

申请人： IMAGOWORKS INC.

发明人： Sojeong CHEON ,  Eungjune SHIM ,  Youngjun KIM

IPC分类号： G06T7/11 ,  G06T15/00 ,  G06T7/73

CPC分类号： G06T7/11 ,  G06T15/00 ,  G06T7/73 ,  G06T2207/20084 ,  G06T2200/04 ,  G06T2207/30036

摘要： An automated method for tooth segmentation of a three dimensional scan data includes converting the three dimensional scan data into a two dimensional image, determining a three dimensional landmark using a first artificial intelligence neural network receiving the two dimensional image, generating cut data by cutting the scan data using the three dimensional landmark, determining an anchor point using the three dimensional landmark and the cut data, generating a mapped data by mapping the cut data into a predetermined space using the anchor point, determining a segmentation mask using a second artificial intelligence neural network receiving the mapped data and mapping the segmentation mask to the scan data or to the cut data.

公开(公告)号：US20220160477A1

公开(公告)日：2022-05-26

申请号：US17330361

申请日：2021-05-25

申请人： IMAGOWORKS INC.

发明人： Youngjun KIM ,  Tae-geun SON ,  Jinhyeok CHOI ,  Taeseok LEE

IPC分类号： A61C13/00 ,  A61C7/00 ,  G06F30/20

摘要： A method of generating a 3D model for digital dentistry using a virtual bridge based multi input Boolean operation, includes generating a first group model by generating a first virtual bridge connecting models spaced apart from each other among first input models of a first input group when the models are spaced apart from each other among the first input models, generating a second group model by generating a second virtual bridge connecting models spaced apart from each other among second input models of a second input group when the models are spaced apart from each other among the second input models, generating a first result model by a Boolean operation of the first group model and the second group model and removing a remaining first virtual bridge or a remaining second virtual bridge when the first virtual bridge or the second virtual bridge remains in the first result model.

公开(公告)号：US20220054237A1

公开(公告)日：2022-02-24

申请号：US17395954

申请日：2021-08-06

申请人： IMAGOWORKS INC.

发明人： Jinhyeok CHOI ,  Hannah KIM ,  Tae-geun SON ,  Youngjun KIM

IPC分类号： A61C9/00 ,  G06T7/00 ,  G06T11/20

摘要： An automated method for aligning 3D (three-dimensional) dental data includes extracting landmark points of a CT (computerized tomography) data, extracting landmark points of scan data of a digital impression model, determining an up vector representing a direction of a patient's eyes and nose and identifying left and right of the landmark points of the scan data, extracting a teeth portion of the scan data, searching a source point of the scan data on a spline curve of the CT data to generate a candidate target point group and determining the candidate target point group having a smallest error with the landmark points of the CT data as a final candidate.

公开(公告)号：US20240156578A1

公开(公告)日：2024-05-16

申请号：US18384720

申请日：2023-10-27

申请人： IMAGOWORKS INC.

发明人： Junseong AHN ,  Jinhyeok CHOI ,  Dong Uk KAM ,  Tae-geun SON ,  Youngjun KIM

IPC分类号： A61C13/00 ,  A61C9/00 ,  G06T7/00 ,  G06T7/70 ,  G06T17/20

CPC分类号： A61C13/0004 ,  A61C9/0053 ,  G06T7/0012 ,  G06T7/70 ,  G06T17/205 ,  G06T2207/20084 ,  G06T2207/30036

摘要： An automated method for generating a prosthesis from a 3D scan data, the method includes extracting prep information of a prepared tooth from the 3D scan data, generating a two dimensional (“2D”) projection images by projecting the 3D scan data based on the prep information and generating a 3D prosthesis based on the 2D projection images using a generative adversarial network including a 2D encoder and a 3D decoder.

公开(公告)号：US20230419495A1

公开(公告)日：2023-12-28

申请号：US17269881

申请日：2021-01-07

申请人： IMAGOWORKS INC.

发明人： Seungbin PARK ,  Eung June SHIM ,  Youngjun KIM

IPC分类号： G06T7/11

CPC分类号： G06T7/11 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06T2207/10081

摘要： A method of automatic segmentation of a maxillofacial bone in a CT image using a deep learning, the method includes receiving input CT slices of the CT image including the maxillofacial bone, segmenting the input CT slices into a mandible and a portion of the maxillofacial bone excluding the mandible using a convolutional neural network structure and accumulating 2D segmentation results which are outputs of the convolutional neural network structure to reconstruct a 3D segmentation result. The convolutional neural network structure includes an encoder including a first operation and a second operation different from the first operation in a same layer and a decoder including a third operation and a fourth operation different from the third operation in a same layer.