公开(公告)号：US20200184639A1

公开(公告)日：2020-06-11

申请号：US16665711

申请日：2019-10-28

Applicant: Medicalip Co., Ltd.

Inventor： Sang Joon Park ,  Doo Hee Lee ,  Soon Ho Yoon

IPC: G06T7/00 ,  G06T7/11 ,  G06T11/00

Abstract: Provided is a method and apparatus for reconstructing a medical image. The apparatus for reconstructing a medical image generates at least one base image by reducing a dimensionality of a three-dimensional (3D) medical image, generates at least one segmented image by reducing a dimensionality of a 3D image of a region of a tissue segmented from the 3D medical image or a 3D image of a region excluding the tissue from the 3D medical image, and trains, by using training data including the at least one base image and the at least one segmented image, an artificial intelligence (AI) model that separates at least one tissue from a medical image showing a plurality of tissues overlapping one another on the same plane.

公开(公告)号：US20240127950A1

公开(公告)日：2024-04-18

申请号：US18224010

申请日：2023-07-19

Applicant: Medicalip Co., Ltd.

Inventor： Sang Joon Park ,  Jong Min Kim ,  Han Jae Chung

IPC: G16H50/20 ,  G06N3/0464 ,  G16H10/60 ,  G16H30/20 ,  G16H30/40 ,  G16H50/30

CPC classification number: G16H50/20 ,  G06N3/0464 ,  G16H10/60 ,  G16H30/20 ,  G16H30/40 ,  G16H50/30

Abstract: Provided is a disease prediction method and apparatus. The disease prediction apparatus may receive a medical image and clinical information, identify, from the medical image, quantitative data comprising a volume of at least one anatomical structure, and predict a disease occurrence based on the clinical information and the quantitative data. An artificial intelligence model may be used for each of identification of an anatomical structure and prediction of the disease occurrence. The disclosure was supported by the “AI Precision Medical Solution (Doctor Answer 2.0) Development” project hosted by Seoul National University Bundang Hospital (Project Serial No.: 1711151151, Project No.: S0252-21-1001).

公开(公告)号：US11809599B2

公开(公告)日：2023-11-07

申请号：US17840953

申请日：2022-06-15

Applicant: MEDICALIP CO., LTD.

Inventor： Sang Joon Park ,  Doo Hee Lee

IPC: G06F21/62 ,  G06T7/187 ,  G06T7/11 ,  G06T7/13 ,  G16H30/40

CPC classification number: G06F21/6254 ,  G06T7/11 ,  G06T7/13 ,  G06T7/187 ,  G16H30/40 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/30196

Abstract: A method and apparatus for anonymizing a three-dimensional medical image are provided. The apparatus determines a skin region of a three-dimensional medical image, generates a human mask based on a human tissue region of the three-dimensional medical image, the human tissue region including various organs, generates a skin expansion region in which the skin region of the three-dimensional medical image is expanded, generates an anonymization region obtained by removing a region corresponding to the human mask from the skin expansion region, and changes brightness values of voxels corresponding to the anonymization region in the three-dimensional medical image to a predefined value or an arbitrary value.

公开(公告)号：US20220405425A1

公开(公告)日：2022-12-22

申请号：US17840953

申请日：2022-06-15

Applicant: MEDICALIP CO., LTD.

Inventor： Sang Joon Park ,  Doo Hee Lee

IPC: G06F21/62 ,  G06T7/11 ,  G06T7/13 ,  G06T7/187 ,  G16H30/40

Abstract: A method and apparatus for anonymizing a three-dimensional medical image are provided. The apparatus determines a skin region of a three-dimensional medical image, generates a human mask based on a human tissue region of the three-dimensional medical image, the human tissue region including various organs, generates a skin expansion region in which the skin region of the three-dimensional medical image is expanded, generates an anonymization region obtained by removing a region corresponding to the human mask from the skin expansion region, and changes brightness values of voxels corresponding to the anonymization region in the three-dimensional medical image to a predefined value or an arbitrary value.

公开(公告)号：US20240362753A1

公开(公告)日：2024-10-31

申请号：US18647766

申请日：2024-04-26

Applicant: MEDICALIP CO., LTD.

Inventor： Sang Joon Park ,  Jong Min Kim ,  Da In Lee

IPC: G06T5/50 ,  G06T5/60 ,  G06T7/00 ,  G06T7/49

CPC classification number: G06T5/50 ,  G06T5/60 ,  G06T7/0002 ,  G06T7/49 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004

Abstract: Provided are a method and apparatus for generating an image reconstruction model and an image reconstruction method and apparatus using the image reconstruction model. The image reconstruction apparatus extracts, through an encoder configured to extract a structure and a texture, a structure and a texture of each of a first medical image and a second medical image and generates, through a decoder configured to reconstruct an image based on a structure and a texture, a third medical image in which the texture of the second medical image is combined with the structure of the first medical image.

公开(公告)号：US20240046438A1

公开(公告)日：2024-02-08

申请号：US18229119

申请日：2023-08-01

Applicant: Medicalip Co., Ltd.

Inventor： Jong Min Kim ,  Han Jae Chung ,  Seung Min Ham ,  Sang Joon Park

IPC: G06T5/00 ,  G06T5/50 ,  G06T11/00

CPC classification number: G06T5/008 ,  G06T5/50 ,  G06T11/008 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/10088 ,  G06T2207/20216

Abstract: A method and a device for converting a non-contrast image into a contrast image are disclosed. The image conversion device converts the non-contrast image into the contrast image by using a deep learning network trained with learning data including one or more contrast learning images and one or more non-contrast learning images. The disclosure was supported by the “Critical Care Patient Specialized Big Data Construction and AI-based CDSS Development” project hosted by Seoul National University Hospital (Task identification number: HI21C1074, Assignment number: HI21C1074050021).

公开(公告)号：US20180247449A1

公开(公告)日：2018-08-30

申请号：US15472048

申请日：2017-03-28

Applicant: MEDICALIP CO., LTD.

Inventor： Sang Joon Park ,  Doo Hee Lee

IPC: G06T17/10 ,  G06T19/00

CPC classification number: G06T19/20 ,  G06F3/011 ,  G06F3/014 ,  G06F3/017 ,  G06F3/0346 ,  G06F3/04815 ,  G06F3/04845 ,  G06T2210/41 ,  G06T2219/2016

Abstract: Provided is a method and apparatus for controlling a three-dimensional (3D) medical image. The apparatus renders a medical image into a 3D object displayed in a virtual space, and scales up, scales down, rotates, or moves the 3D object or displays a cross section thereof according to a control signal.

公开(公告)号：US20240095894A1

公开(公告)日：2024-03-21

申请号：US18223972

申请日：2023-07-19

Applicant: Medicalip Co., Ltd.

Inventor： Sang Joon Park ,  Jong Min Kim ,  Han Jae Chung ,  Seung Min Ham

IPC: G06T5/00 ,  G06T5/50

CPC classification number: G06T5/009 ,  G06T5/50 ,  G06T2207/10081 ,  G06T2207/20081

Abstract: Disclosed is a medical image conversion method and apparatus. The medical image conversion apparatus trains a first artificial intelligence model to output a second contrast-enhanced image, based on first learning data including a pair of a first contrast-enhanced image and a first non-contrast image, and trains a second artificial intelligence model to output a second non-contrast image, based on second learning data including a pair of the first non-contrast image of the first learning data and the second contrast-enhanced image. The disclosure was supported by the “AI Precision Medical Solution (Doctor Answer 2.0) Development” project hosted by Seoul National University Bundang Hospital (Project Serial No.: 1711151151, Project No.: S0252-21-1001).

公开(公告)号：US10402975B2

公开(公告)日：2019-09-03

申请号：US15471996

申请日：2017-03-28

Applicant: MEDICALIP CO., LTD.

Inventor： Sang Joon Park ,  Doo Hee Lee

IPC: G06T7/11 ,  G06T7/162 ,  G06T7/187

Abstract: Provided is a method and apparatus for segmenting medical images. The apparatus sets a first seed group including voxels belonging to a segmentation target region among voxels of a medical image and a second seed group including voxels belonging to a remaining region thereof, assigns a weight to a link between a start node and an end node and a voxel node, and segments the medical image into two regions by cutting a link having a minimum weight in a shortest path in which a sum of weights of a path connecting the start node and the end node is minimum.

公开(公告)号：US20180247407A1

公开(公告)日：2018-08-30

申请号：US15471996

申请日：2017-03-28

Applicant: MEDICALIP CO., LTD.

Inventor： Sang Joon Park ,  Doo Hee Lee

IPC: G06T7/00 ,  G06T7/11

CPC classification number: G06T7/11 ,  G06T7/162 ,  G06T7/187 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/30061 ,  G06T2207/30096

Abstract: Provided is a method and apparatus for segmenting medical images. The apparatus sets a first seed group including voxels belonging to a segmentation target region among voxels of a medical image and a second seed group including voxels belonging to a remaining region thereof, assigns a weight to a link between a start node and an end node and a voxel node, and segments the medical image into two regions by cutting a link having a minimum weight in a shortest path in which a sum of weights of a path connecting the start node and the end node is minimum.