公开(公告)号：US20160163101A1

公开(公告)日：2016-06-09

申请号：US14680104

申请日：2015-04-07

Applicant: Korea Advanced Institute of Science and Technology

Inventor： In Gwun Jang ,  Jung Jin KIM

IPC: G06T17/20 ,  G06T11/00 ,  A61B5/00 ,  A61B6/03 ,  A61B6/00 ,  G06T7/00 ,  A61B5/055

CPC classification number: G06T17/205 ,  A61B5/4509 ,  A61B6/032 ,  A61B6/469 ,  A61B6/505 ,  A61B6/5205 ,  A61B6/5217 ,  A61B6/563 ,  A61B8/485 ,  G06T7/0014 ,  G06T11/003 ,  G06T11/006 ,  G06T17/20 ,  G06T2200/04 ,  G06T2207/10072 ,  G06T2207/30008 ,  G06T2207/30196 ,  G06T2210/41 ,  G06T2219/008 ,  G06T2219/016

Abstract: An apparatus and method for reconstructing a skeletal image for osteoporotic diagnosis is disclosed. A skeletal image reconstruction method may include separating a region of interest (ROI) corresponding to a skeletal system from an image captured from an inspection target, and reconstructing a high-resolution skeletal image by performing a finite element method (FEM) and topology optimization on the ROI.

Abstract translation: 公开了一种重建用于骨质疏松诊断的骨骼图像的装置和方法。 骨骼图像重建方法可以包括从与检查对象捕捉的图像相对应的与骨骼系统相对应的感兴趣区域（ROI），并且通过执行有限元方法（FEM）和拓扑优化来重建高分辨率骨架图像 投资回报率。

公开(公告)号：US20190087960A1

公开(公告)日：2019-03-21

申请号：US15860398

申请日：2018-01-02

Applicant: Korea Advanced Institute of Science and Technology

Inventor： InGwun JANG ,  Jung Jin KIM ,  Ji Min NAM

IPC: G06T7/11 ,  G06T7/155 ,  G06T7/136

Abstract: Disclosed are a method and apparatus for fully automatically segmenting a joint based on a patient-specific optimal thresholding method and a watershed algorithm. The method of fully automatically segmenting an image may include the steps of extracting region information corresponding to a target object to be segmented from a medical image of the target object by associating a thresholding method and a load path algorithm, generating a first mask MASK 1 based on the extracted region information, generating a morphological patch by performing morphological subdivision on the medical image based on a watershed algorithm, generating a second mask MASK 2 based on the generated morphological patch, and segmenting an image corresponding to the target object from the medical image based on the first mask and the second mask.

公开(公告)号：US20180018766A1

公开(公告)日：2018-01-18

申请号：US15331620

申请日：2016-10-21

Applicant: Korea Advanced Institute of Science and Technology

Inventor： InGwun JANG ,  Jung Jin KIM

IPC: G06T7/00 ,  G06K9/46 ,  A61B5/00 ,  A61B6/03 ,  G06T11/00 ,  A61B5/055 ,  A61B6/00 ,  H04N5/232 ,  G06T17/20

CPC classification number: G06T7/0012 ,  A61B5/055 ,  A61B5/4509 ,  A61B6/032 ,  A61B6/505 ,  A61B6/5205 ,  A61B2576/02 ,  G06K9/40 ,  G06K9/4604 ,  G06K9/4671 ,  G06T11/008 ,  G06T17/205 ,  G06T2207/30008 ,  H04N5/23245

Abstract: A local high-resolution imaging method and apparatus for a three-dimensional (3D) skeletal image is provided. The method includes determining a volume of interest (VOI) to perform high-resolution imaging from the 3D skeletal image in which an object to be inspected is captured, localizing the VOI based on a finite element method (FEM), and setting a multi-resolution constraint based on a bone mineral density (BMD) between the 3D skeletal image and the localized VOI and reconstructing a skeletal image in which high-resolution imaging is performed on the localized VOI.