公开(公告)号：DE69517524D1

公开(公告)日：2000-07-20

申请号：DE69517524

申请日：1995-03-30

Applicant: ARCH DEV CORP

Inventor： GIGER L ,  BAE KYONGTAE TY ,  DOI KUNIO

IPC: A61B6/03 ,  G06T1/00 ,  G06T7/00 ,  G06F19/00

Abstract: A method and system for the automated detection of lesions in computed tomographic images, including generating image data from at least one selected portion of an object, for example, from CT images of the thorax. The image data are then analyzed in order to produce the boundary of the thorax. The image data within the thoracic boundary is then further analyzed to produce boundaries of the lung regions using predetermined criteria. Features within the lung regions are then extracted using multi-gray-level thresholding and correlation between resulting multi-level threshold images and between at least adjacent sections. Classification of the features as abnormal lesions or normal anatomic features is then performed using geometric features yielding a likelihood of being an abnormal lesion along with its location in either the 2-D image section or in the 3-D space of the object.

公开(公告)号：DE69432106D1

公开(公告)日：2003-03-13

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：DE69432641D1

公开(公告)日：2003-06-12

申请号：DE69432641

申请日：1994-11-29

Applicant: ARCH DEV CORP

Inventor： GIGER L ,  DOI KUNIO

IPC: A61B6/00 ,  G06F19/00 ,  G06T7/00 ,  A61B5/103

Abstract: A computerized method and system for the radiographic analysis of bone structure and risk of future fracture with or without the measurement of bone mass. Techniques include texture analysis for use in quantitating the bone structure and risk of future fracture. The texture analysis of the bone structure incorporates directionality information, for example in terms of the angular dependence of the RMS variation and first moment of the power spectrum of a ROI in the bony region of interest. The system also includes using dual energy imaging in order to obtain measures of both mass and bone structure with one exam. Specific applications are given for the analysis of regions within the vertebral bodies on conventional spine radiographs. Techniques include novel features that characterize the power spectrum of the bone structure and allow extraction of directionality features with which to characterize the spatial distribution and thickness of the bone trabeculae. These features are then merged using artificial neural networks in order to yield a likelihood of risk of future fracture. In addition, a method and system is presented in which dual-energy imaging techniques are used to yield measures of both bone mass and bone structure with one low-dose radiographic examination; thus, making the system desirable for screening (for osteoporosis and risk of future fracture).

公开(公告)号：DE69432601D1

公开(公告)日：2003-06-05

申请号：DE69432601

申请日：1994-11-29

Applicant: ARCH DEV CORP

Inventor： GIGER L ,  DOI KUNIO ,  LU PING ,  HUO ZHIMIN

IPC: A61B6/00 ,  G06K9/00 ,  G06T1/00 ,  G06T7/00 ,  G06T5/00 ,  G06K9/46 ,  G06K9/44 ,  G06K9/62 ,  G06K9/38

Abstract: A method and system for the automated detection and classification of masses in mammograms. These method and system include the performance of iterative, multi-level gray level thresholding, followed by a lesion extraction and feature extraction techniques for classifying true masses from false-positive masses and malignant masses from benign masses. The method and system provide improvements in the detection of masses include multi-gray-level thresholding of the processed images to increase sensitivity and accurate region growing and feature analysis to increase specificity. Novel improvements in the classification of masses include a cumulative edge gradient orientation histogram analysis relative to the radial angle of the pixels in question; i.e., either around the margin of the mass or within or around the mass in question. The classification of the mass leads to a likelihood of malignancy.

公开(公告)号：DE69517524T3

公开(公告)日：2004-05-13

申请号：DE69517524

申请日：1995-03-30

Applicant: ARCH DEV CORP

Inventor： GIGER L ,  BAE KYONGTAE TY ,  DOI KUNIO

IPC: A61B6/03 ,  G06T1/00 ,  G06T7/00 ,  A61K39/17

Abstract: A method and system for the automated detection of lesions in computed tomographic images, including generating image data from at least one selected portion of an object, for example, from CT images of the thorax. The image data are then analyzed in order to produce the boundary of the thorax. The image data within the thoracic boundary is then further analyzed to produce boundaries of the lung regions using predetermined criteria. Features within the lung regions are then extracted using multi-gray-level thresholding and correlation between resulting multi-level threshold images and between at least adjacent sections. Classification of the features as abnormal lesions or normal anatomic features is then performed using geometric features yielding a likelihood of being an abnormal lesion along with its location in either the 2-D image section or in the 3-D space of the object.

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：DE69517524T2

公开(公告)日：2001-02-08

申请号：DE69517524

申请日：1995-03-30

Applicant: ARCH DEV CORP

Inventor： GIGER L ,  BAE KYONGTAE TY ,  DOI KUNIO

IPC: A61B6/03 ,  G06T1/00 ,  G06T7/00 ,  G06F19/00

Abstract: A method and system for the automated detection of lesions in computed tomographic images, including generating image data from at least one selected portion of an object, for example, from CT images of the thorax. The image data are then analyzed in order to produce the boundary of the thorax. The image data within the thoracic boundary is then further analyzed to produce boundaries of the lung regions using predetermined criteria. Features within the lung regions are then extracted using multi-gray-level thresholding and correlation between resulting multi-level threshold images and between at least adjacent sections. Classification of the features as abnormal lesions or normal anatomic features is then performed using geometric features yielding a likelihood of being an abnormal lesion along with its location in either the 2-D image section or in the 3-D space of the object.