公开(公告)号：WO0013133A9

公开(公告)日：2000-06-22

申请号：PCT/US9918825

申请日：1999-08-27

Applicant: ARCH DEV CORP

Inventor： JIANG CHUNSHENG ,  CHINANDER MICHAEL R ,  GIGER MARYELLEN L

IPC: A61B10/00 ,  A61B6/00 ,  G06T1/00 ,  G06T7/00 ,  G06K9/00 ,  G01N15/02 ,  G01N23/06 ,  G06K9/62

CPC classification number: G06T7/0012

Abstract: An automated method (Figure 1(a)), storage medium, and system (1000) for analyzing bone. Digitized image data corresponding to an image of the bone are obtained. Next, there is determined, based on the digital images, a measure of bone mineral density (BMD) and at least one of a measure of bone geometry, a Minkowski Dimension, and a trabecular orientation. The strength of the bone is estimated based upon the measure of BMD and at least one of the measure of bone geometry, the Minkowski Dimension, and the trabecular orientation. To improve bone texture analysis, the present invention also provides a novel automated method, storage medium, and system in which digital image data corresponding to an image of the bone is obtained, and a region of interest (ROI) is selected within the bone (Figure 11(b)). A fractal characteristic of the image data within the ROI using an artificial neural network is extracted. The strength of the bone is estimated based at least in part on the extracted fractal characteristic. To perform bone analysis with an improved measure of bone mineral density, the present invention also provides a novel automated method, storage medium, and system in which digital image data corresponding to an image of the bone is obtained. A measure of normalized bone density (BMD) corresponding to a volumetric bone mineral density of the bone is determined, and the strength of the bone is estimated based at least in part on the normalized BMD (Figure 10(b)).

Abstract translation: 用于分析骨骼的自动化方法（图1（a）），存储介质和系统（1000）。 获得与骨骼的图像对应的数字化图像数据。 接下来，基于数字图像确定骨矿物质密度（BMD）的量度以及骨几何学，闵可夫斯基尺寸和小梁取向中的至少一个。 骨骼的强度基于BMD的测量以及骨几何，Minkowski尺寸和小梁取向中的至少一个来估计。 为了改善骨骼纹理分析，本发明还提供了一种新颖的自动化方法，存储介质和系统，其中获得与骨骼的图像相对应的数字图像数据，并且在骨骼内选择感兴趣区域（ROI） 图11（b））。 提取使用人工神经网络的ROI内的图像数据的分形特征。 骨骼的强度至少部分地基于所提取的分形特征来估计。 为了通过骨矿物质密度的改进测量进行骨分析，本发明还提供了一种新颖的自动化方法，存储介质和系统，其中获得了与骨骼图像相对应的数字图像数据。 确定对应于骨的体积骨矿物质密度的标准化骨密度（BMD）的量度，并且至少部分地基于归一化BMD来估计骨的强度（图10（b））。

公开(公告)号：EP1105834A4

公开(公告)日：2003-01-02

申请号：EP99968265

申请日：1999-08-27

Applicant: ARCH DEV CORP

Inventor： JIANG CHUNSHENG ,  CHINANDER MICHAEL R ,  GIGER MARYELLEN L

IPC: A61B10/00 ,  A61B6/00 ,  G06T1/00 ,  G06T7/00 ,  G06K9/00 ,  G01N15/02 ,  G01N23/06 ,  G06F19/00 ,  G06K9/62

CPC classification number: G06T7/0012

Abstract: An automated method (Figure 1(a)), storage medium, and system (1000) for analyzing bone. Digitized image data corresponding to an image of the bone are obtained. Next, there is determined, based on the digital images, a measure of bone mineral density (BMD) and at least one of a measure of bone geometry, a Minkowski Dimension, and a trabecular orientation. The strength of the bone is estimated based upon the measure of BMD and at least one of the measure of bone geometry, the Minkowski Dimension, and the trabecular orientation. To improve bone texture analysis, the present invention also provides a novel automated method, storage medium, and system in which digital image data corresponding to an image of the bone is obtained, and a region of interest (ROI) is selected within the bone (Figure 11(b)). A fractal characteristic of the image data within the ROI using an artificial neural network is extracted. The strength of the bone is estimated based at least in part on the extracted fractal characteristic. To perform bone analysis with an improved measure of bone mineral density, the present invention also provides a novel automated method, storage medium, and system in which digital image data corresponding to an image of the bone is obtained. A measure of normalized bone density (BMD) corresponding to a volumetric bone mineral density of the bone is determined, and the strength of the bone is estimated based at least in part on the normalized BMD (Figure 10(b)).

公开(公告)号：AU6018599A

公开(公告)日：2000-03-21

申请号：AU6018599

申请日：1999-08-27

Applicant: ARCH DEV CORP

Inventor： JIANG CHUNSHENG ,  CHINANDER MICHAEL R ,  GIGER MARYELLEN L

IPC: A61B10/00 ,  A61B6/00 ,  G06T1/00 ,  G06T7/00 ,  G06K9/00 ,  G06K9/62 ,  G01N15/02 ,  G01N23/06

Abstract: An automated method, storage medium, and system for analyzing bone. Digital image data corresponding to an image of the bone are obtained. Next there is determined, based on the digital images, a measure of bone mineral density (BMD) and at least one of a measure of bone geometry, a Minkowski dimension, and a trabecular orientation. The strength of the bone is estimated based upon the measure of BMD and at least one of the measure of bone geometery, the Minkowski dimension, and the trabecular orientation. To improve bone texture analysis, the present invention also provides a novel automated method, storage medium, and system in which digital image data corresponding to an image of the bone is obtained, and a region of interest (ROI) is selected within the bone. A fractal characteristic of the image data within the ROI using an artificial neural network is extracted. The strength of the bone is estimated based at least in part on the extracted fractal characteristic. To perform bone analysis with an improved measure of bone mineral density, the present invention also provides a novel automated method, storage medium, and system in which digital image data corresponding to an image of the bone is obtained. A measure of normalized bone mineral density (BMD) corresponding to a volumetric bone mineral density of the bone is determined, and the strength of the bone based is estimated based at least in part on the normalized BMD.

公开(公告)号：CA2342344A1

公开(公告)日：2000-03-09

申请号：CA2342344

申请日：1999-08-27

Applicant: ARCH DEV CORP

Inventor： GIGER MARYELLEN L ,  CHINANDER MICHAEL R ,  JIANG CHUNSHENG

IPC: A61B10/00 ,  A61B6/00 ,  G06T1/00 ,  G06T7/00 ,  G06K9/00 ,  G01N15/02 ,  G01N23/06 ,  G06K9/62

Abstract: An automated method (Figure 1(a)), storage medium, and system (1000) for analyzing bone. Digitized image data corresponding to an image of the bone a re obtained. Next, there is determined, based on the digital images, a measure of bone mineral density (BMD) and at least one of a measure of bone geometry, a Minkowski Dimension, and a trabecular orientation. The strength of the bone is estimated based upon the measure of BMD and at least one of the measure of bone geometry, the Minkowski Dimension, and the trabecular orientation. To improve bone texture analysis, the present invention also provides a novel automated method, storage medium, and system in which digital image data corresponding to an image of the bone is obtained, and a region of interest (ROI) is selected within the bone (Figure 11(b)). A fractal characteristic o f the image data within the ROI using an artificial neural network is extracte d. The strength of the bone is estimated based at least in part on the extracte d fractal characteristic. To perform bone analysis with an improved measure of bone mineral density, the present invention also provides a novel automated method, storage medium, and system in which digital image data corresponding to an image of the bone is obtained. A measure of normalized bone density (BMD) corresponding to a volumetric bone mineral density of the bone is determined, and the strength of the bone is estimated based at least in part on the normalized BMD (Figure 10(b)).