公开(公告)号：WO9904680A3

公开(公告)日：1999-04-08

申请号：PCT/US9815166

申请日：1998-07-24

Applicant: ARCH DEV CORP

Inventor： GIGER MARYELLEN L ,  AL-HALLAQ HANIA ,  WOLVERTON DULCY ,  BICK ULRICH

IPC: A61B20060101 ,  A61B8/00 ,  G06T7/00

CPC classification number: G06T7/0012 ,  G06T2207/30068

Abstract: The present invention is a method (100), and apparatus (1000) for the computerized automatic analysis of lesions in ultrasound images, including the computerized analysis of lesions in the breast using gradient, gray level, and texture based measures (108, 1007, 1010, 1011). Echogenicity features are developed to assess the characteristics of the lesions (110, 1014), and in some cases give an estimate of the likelihood of malignancy or of prognosis for the automated segmentation of the lung regions in lateral chest radiographs. The output from the computerized analysis (112, 1020) is used in making a diagnosis, and/or prognosis. For example, with the analysis of the ultrasound images of the breast, the features can be used to either distinguish between malignant and benign lesions, or distinguish between (i.e., diagnosis) the types of benign lesions such as benign solid lesions (e.g. fibroadenoma), simple cysts, complex cysts, and benign cysts. The ultrasound image features can be merged with those from mammographic, and/or magnetic resonance images of the same lesion for classification by means of a common artificial neural network.

Abstract translation: 本发明是一种用于计算机化自动分析超声图像中的损伤的方法（100）和装置（1000），包括使用梯度，灰度和基于纹理的测量来对乳房中的病变进行计算机化分析（108,1007， 1010,1011）。 开发Echogenicity特征以评估病变的特征（110,1014），并且在某些情况下给出对于胸部横断面X线照片中肺区域的自动分割的恶性程度或预后的可能性的估计。 计算机化分析（112,1020）的输出用于诊断和/或预后。 例如，通过对乳房超声图像的分析，可以将特征用于区分恶性和良性病变，或区分（即，诊断）良性病变的类型，例如良性固体病变（例如纤维腺瘤） ，简单囊肿，复杂囊肿和良性囊肿。 可以将超声图像特征与来自相同病变的乳房X线照相和/或磁共振图像的那些融合，以通过常见的人造神经网络进行分类。

公开(公告)号：EP0813720A1

公开(公告)日：1997-12-29

申请号：EP96906597

申请日：1996-03-04

Applicant: ARCH DEV CORP

Inventor： BICK ULRICH ,  GIGER MARYELLEN L

IPC: A61B6/00 ,  G06K9/48 ,  G06T1/00 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00 ,  G06T7/60 ,  G06K9/00

CPC classification number: G06K9/482 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/12 ,  G06T7/149 ,  G06T7/155 ,  G06T7/187 ,  G06T2207/20056 ,  G06T2207/20156 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method and system for the automated detection of lesions in the medical images. Medical images, such as mammograms are segmented and optionally processing with peripheral enhancement and/or modified median filtering. A modified morphological open operation (104-106) and filtering with a modified mass filter (107-109) are performed for the initial detection of circumscribed lesions. Then, the lesions are matched using a deformable shape template with Fourier descriptors (110-112). Characterization of the match is done using simulated annealing, and measuring the circularity and density characteristics of the suspected lesion. The procedure is performed iteratively at different spatial resolution in which at each resolution step a specific lesion size is detected. The detection of the lesion leads to a localization of a suspicious region and thus the likelyhood of cancer.

公开(公告)号：EP1113752A4

公开(公告)日：2003-06-25

申请号：EP99946877

申请日：1999-09-15

Applicant: ARCH DEV CORP

Inventor： GILHUIJS KENNETH ,  GIGER MARYELLEN L ,  BICK ULRICH

IPC: A61B5/055 ,  G06T1/00 ,  G06T5/00 ,  A61B6/00 ,  G06T5/50

CPC classification number: G06T7/11 ,  G06T2207/10088 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method, computer program product, and system for assessing tumor extent in medical temporally acquired images. An image acquisition unit (2) may acquire images, and converts the breast images into digital images. A breast volume segmentation unit (6) performs volume segmentation on the images obtained by the image acquisition unit (2), and a border removal unit (8) performs breast border removal based on data generated by the volume segmentation unit (6). A lesion enhancement unit (10) performs lesion enhancement for image data generated by the volume segmentation unit (6). A bounding unit (12) determines a bounding sphere based on the image data generated by the lesion enhancement unit (10), and a three-dimensional search volume unit (14) determines a three-dimensional search volume within the image data generated by the bounding unit (12). A suppression unit (16) suppresses surrounding structures in the image data generated by the three-dimensional search unit.

Abstract translation: 一种方法，计算机程序产品和用于评估医学临时获取的图像中的肿瘤程度的系统。 计算机程序产品和系统所基于的方法包括获得与包括肿瘤和周围解剖结构的时间上获取的图像相对应的图像数据，并且对获得的图像数据执行方差处理以导出定义表示变化的方差图像的方差图像数据 的体素在时间上获得的医学图像。 技术包括乳房体积分割，乳房边界去除，病变增强，边界确定，3-D搜索体积的计算，周围结构的抑制和体积增长的新颖的发展和实现。 该方法的输出产生了乳腺肿瘤（病变）程度的估计。

公开(公告)号：EP0813720A4

公开(公告)日：1998-07-01

申请号：EP96906597

申请日：1996-03-04

Applicant: ARCH DEV CORP

Inventor： BICK ULRICH ,  GIGER MARYELLEN L

IPC: A61B6/00 ,  G06K9/48 ,  G06T1/00 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00 ,  G06T7/60 ,  G06K9/00

CPC classification number: G06K9/482 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/12 ,  G06T7/149 ,  G06T7/155 ,  G06T7/187 ,  G06T2207/20056 ,  G06T2207/20156 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method and system for the automated detection of lesions in the medical images. Medical images, such as mammograms are segmented and optionally processing with peripheral enhancement and/or modified median filtering. A modified morphological open operation (104-106) and filtering with a modified mass filter (107-109) are performed for the initial detection of circumscribed lesions. Then, the lesions are matched using a deformable shape template with Fourier descriptors (110-112). Characterization of the match is done using simulated annealing, and measuring the circularity and density characteristics of the suspected lesion. The procedure is performed iteratively at different spatial resolution in which at each resolution step a specific lesion size is detected. The detection of the lesion leads to a localization of a suspicious region and thus the likelyhood of cancer.

Abstract translation: 一种用于在医学图像病变的自动化检测方法和系统。 医学图像，颜色：如乳房X线照片是分段的并且任选地处理与外围增强和/或修改的中值滤波。 一种改进的形态开放手术和过滤与改性质量过滤器执行用于外接病变的初始检测。 然后，病灶使用的是有傅立叶描述一个变形的形状模板匹配。 匹配的表征使用完成模拟退火，并测定可疑病变的圆度和密度特性。 该程序在哪个在每个分辨率步骤中检测的特定损伤尺寸不同的空间分辨率迭代地执行。 病变的检测导致了可疑区域的定位和癌症因而可能性。

公开(公告)号：EP0731959A4

公开(公告)日：1997-01-22

申请号：EP95903128

申请日：1994-11-29

Applicant: ARCH DEV CORP

Inventor： BICK ULRICH ,  GIGER MARYELLEN L

IPC: A61B6/00 ,  G06T1/00 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00 ,  G06T5/40

CPC classification number: G06K9/342 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/12 ,  G06T7/136 ,  G06T7/155 ,  G06T7/187 ,  G06T2207/10116 ,  G06T2207/20036 ,  G06T2207/20041 ,  G06T2207/30068

公开(公告)号：DE69432106T2

公开(公告)日：2003-12-11

申请号：DE69432106

申请日：1994-11-29

Applicant: ARCH DEV CORP

Inventor： BICK ULRICH ,  GIGER L

IPC: A61B6/00 ,  G06T1/00 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00 ,  G06T5/40

Abstract: A method for the automated segmentation of medical images, including generating image data from radiographic images of the breast. The method is applicable to breast mammograms including the extraction of the skinline as well as correction for non-uniform exposure conditions, hand radiographs, and chest radiographs. Techniques for the segmentation include noise filtering, local gray value range determination, modified global histogram analysis, region growing and determination of object contour. The method also is applicable to skin detection and analysis of skin thickening in medical images, where image segmentation, local optimization of external skinline, creation of a gradient image, identification of the internal skinline and then skin thickness determination are carried out.

公开(公告)号：AT246383T

公开(公告)日：2003-08-15

申请号：AT00111213

申请日：1994-11-29

Applicant: ARCH DEV CORP

Inventor： BICK ULRICH ,  GIGER MARYELLEN L

IPC: A61B6/00 ,  G06T1/00 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00 ,  G06T5/40

Abstract: A method for the automated segmentation of medical images, including generating image data from radiographic images of the breast. The method is applicable to breast mammograms including the extraction of the skinline as well as correction for non-uniform exposure conditions, hand radiographs, and chest radiographs. Techniques for the segmentation include noise filtering, local gray value range determination, modified global histogram analysis, region growing and determination of object contour. The method also is applicable to skin detection and analysis of skin thickening in medical images, where image segmentation, local optimization of external skinline, creation of a gradient image, identification of the internal skinline and then skin thickness determination are carried out.

公开(公告)号：DE69432995D1

公开(公告)日：2003-09-04

申请号：DE69432995

申请日：1994-11-29

Applicant: ARCH DEV CORP

Inventor： BICK ULRICH ,  GIGER MARYELLEN L

IPC: A61B6/00 ,  G06T1/00 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00 ,  G06T5/40

Abstract: A method for the automated segmentation of medical images, including generating image data from radiographic images of the breast. The method is applicable to breast mammograms including the extraction of the skinline as well as correction for non-uniform exposure conditions, hand radiographs, and chest radiographs. Techniques for the segmentation include noise filtering, local gray value range determination, modified global histogram analysis, region growing and determination of object contour. The method also is applicable to skin detection and analysis of skin thickening in medical images, where image segmentation, local optimization of external skinline, creation of a gradient image, identification of the internal skinline and then skin thickness determination are carried out.

公开(公告)号：AU5919099A

公开(公告)日：2000-04-10

申请号：AU5919099

申请日：1999-09-15

Applicant: ARCH DEV CORP

Inventor： GILHUIJS KENNETH ,  GIGER MARYELLEN L ,  BICK ULRICH

IPC: A61B5/055 ,  G06T1/00 ,  G06T5/00 ,  A61B6/00

Abstract: A method, computer program product, and system for assessing tumor extent in medical temporally acquired images. The method, on which the computer program product and system is based, includes obtaining image data corresponding to temporally acquired images including a tumor and surrounding anatomy and performing variance processing on the obtained image data to derive variance image data defining a variance image indicative of variation of voxels in the temporally acquired medical images. Techniques include novel developments and implementations of breast volume segmentation, breast border removal, lesion enhancement, determination of the bounding sphere, computation of a 3-D search volume, suppression of surrounding structures, and volume growing. Output from the methods yields an estimate of the extent of the tumor (lesion) in the breast.

公开(公告)号：CA2177477A1

公开(公告)日：1995-06-01

申请号：CA2177477

申请日：1994-11-29

Applicant: ARCH DEV CORP

Inventor： BICK ULRICH ,  GIGER MARYELLEN L

IPC: A61B6/00 ,  G06T1/00 ,  G06T5/00 ,  G06T5/30 ,  G06T7/00 ,  G06T5/40 ,  A61B6/03

Abstract: A method for the automated segmentation of medical images (figures 5, 11, 12 and 20), including generating image data (figure 19) from radiographic images of the breast (figure 5). The method is applicable to breast mammograms including the extraction of the skinline as well as correction for non-uniform exposure conditions, hand radiographs (figure 11), and chest radiographs (figure 12). Techniques for the segmentation include noise filtering (152 of figure 15), local gray value range determination (153), modified global histogram analysis (154), region growing and determination of object contour (155). The method also is applicable to skin detection and analysis of skin thickening in medical images, where image segmentation (164), local optimization of external skinline (166), creation of a gradient image, identification of the internal skinline (167) and then skin thickness determination are carried out.