公开(公告)号：US08064677B2

公开(公告)日：2011-11-22

申请号：US12626608

申请日：2009-11-25

申请人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

发明人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

IPC分类号： G06K9/00

CPC分类号： G06T7/62 ,  G06T2207/10116 ,  G06T2207/30068

摘要： A system and method are provided for the measurement and display of attributes of an object of interest in a medical image. An object of interest is identified, such as a lesion or cluster of lesions in a breast area on a mammography image. At least one attribute of the lesion is then automatically measured, such as the area of the lesion, the width and height of a cluster of lesions, the number of lesions in a cluster, or the distance from one or more lesions to an anatomical feature such as the nipple, skin line or chest wall. The measurements are then displayed to a user, for example by displaying the measurements on the mammography image. Additionally, anatomical zones, such as standard, quadrant and clock zones of the breast area may be determined and displayed on the mammography image or diagram to display the location of the lesion as it corresponds to the zones.

摘要翻译： 提供了一种用于测量和显示医学图像中感兴趣对象的属性的系统和方法。 识别感兴趣的对象，例如乳房X线照相图像上的乳房区域中的病变或病变簇。 然后自动测量病变的至少一个属性，例如病变的面积，病灶群的宽度和高度，群集中的病变数，或从一个或多个病变到解剖特征的距离 如乳头，皮肤线或胸壁。 然后，例如通过在乳房X线照相图像上显示测量，将测量值显示给用户。 此外，解剖区域，例如乳房区域的标准，象限和时钟区域可以被确定并显示在乳房造影图像或图上，以显示病变对应于区域的位置。

公开(公告)号：US20110123087A1

公开(公告)日：2011-05-26

申请号：US12626608

申请日：2009-11-25

申请人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

发明人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

IPC分类号： G06K9/00 ,  G09G5/00

CPC分类号： G06T7/62 ,  G06T2207/10116 ,  G06T2207/30068

摘要： A system and method are provided for the measurement and display of attributes of an object of interest in a medical image. An object of interest is identified, such as a lesion or cluster of lesions in a breast area on a mammography image. At least one attribute of the lesion is then automatically measured, such as the area of the lesion, the width and height of a cluster of lesions, the number of lesions in a cluster, or the distance from one or more lesions to an anatomical feature such as the nipple, skin line or chest wall. The measurements are then displayed to a user, for example by displaying the measurements on the mammography image. Additionally, anatomical zones, such as standard, quadrant and clock zones of the breast area may be determined and displayed on the mammography image or diagram to display the location of the lesion as it corresponds to the zones.

摘要翻译： 提供了一种用于测量和显示医学图像中感兴趣对象的属性的系统和方法。 识别感兴趣的对象，例如乳房X线照相图像上的乳房区域中的病变或病变簇。 然后自动测量病变的至少一个属性，例如病变的面积，病灶群的宽度和高度，群集中的病变数，或从一个或多个病变到解剖特征的距离 如乳头，皮肤线或胸壁。 然后，例如通过在乳房X线照相图像上显示测量，将测量值显示给用户。 此外，解剖区域，例如乳房区域的标准，象限和时钟区域可以被确定并显示在乳房造影图像或图上，以显示病变对应于区域的位置。

公开(公告)号：US20110122146A1

公开(公告)日：2011-05-26

申请号：US12626602

申请日：2009-11-25

申请人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

发明人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

IPC分类号： G09G5/02

CPC分类号： G06T5/009 ,  G06T5/004 ,  G06T5/40 ,  G06T5/50 ,  G06T2207/30068

摘要： A system and method is provided for matching visual features in at least two related medical images. The differences in visual features between at least two related images are identified, such as separate mammography images of a left breast and a right breast of a patient. The visual features may include the image brightness, contrast, sharpness (or edge strength), alignment or dynamic range. The visual features of at least one of the images is then adjusted to match the visual features of the other image, or both images are adjusted to match a predefined value of visual features for a medical image. The adjusted images may then be displayed to a user, such as a radiologist or technician, who is able to more accurately identify physiological inconsistencies between the two images now that they have similar underlying visual features.

摘要翻译： 提供了一种用于匹配至少两个相关医学图像中的视觉特征的系统和方法。 识别至少两个相关图像之间的视觉特征的差异，例如患者的左乳房和右乳房的单独的乳房X线照相图像。 视觉特征可以包括图像亮度，对比度，锐度（或边缘强度），对准或动态范围。 然后调整至少一个图像的视觉特征以匹配另一图像的视觉特征，或者调整两个图像以匹配用于医学图像的视觉特征的预定义值。 然后可以将经调整的图像显示给诸如放射科医师或技术人员的用户，其能够更准确地识别两个图像之间的生理不一致性，因为它们具有相似的底层视觉特征。

公开(公告)号：US20110123086A1

公开(公告)日：2011-05-26

申请号：US12626597

申请日：2009-11-25

申请人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

发明人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

IPC分类号： G06K9/00

CPC分类号： G06T5/003 ,  G06T5/009 ,  G06T5/40 ,  G06T2200/24 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/20012 ,  G06T2207/20104 ,  G06T2207/20192 ,  G06T2207/30068

摘要： A system and method is provided for enhancing a region of interest in a medical image to improve its visibility. A region of interest is first identified in the medical image, such as identifying a breast region in a mammography image. The identified region of interest is then enhanced using an image processing technique, for example by adjusting the intensity or contrast, or by performing edge enhancement. Other regions of the medical image outside the region of interest remain unaltered, or may be diminished, such that the clarity of the region of interest is improved in comparison with the other regions of the medical image. A user viewing the enhanced image is less distracted by the non-enhanced regions and is not required to adjust the image on his or her own. The user can more quickly and effectively review the medical image to identify abnormalities and diagnose disease.

摘要翻译： 提供了一种用于增强医学图像中的感兴趣区域以提高其可视性的系统和方法。 首先在医学图像中识别感兴趣区域，例如识别乳房X线照相图像中的乳房区域。 然后使用图像处理技术，例如通过调整强度或对比度，或通过执行边缘增强来增强所识别的感兴趣区域。 感兴趣区域以外的医疗图像的其他区域保持不变，或可能减少，使得与医学图像的其他区域相比，感兴趣区域的清晰度得到改善。 观看增强图像的用户较少被非增强区域分散注意力，不需要自己调整图像。 用户可以更快速有效地检查医学图像以识别异常并诊断疾病。

公开(公告)号：US20080187194A1

公开(公告)日：2008-08-07

申请号：US11671142

申请日：2007-02-05

申请人： Daoxian H. Zhang ,  Yong Chu ,  Nariman Majdi-Nasab ,  Yue Shen ,  Erez E. Shermer

发明人： Daoxian H. Zhang ,  Yong Chu ,  Nariman Majdi-Nasab ,  Yue Shen ,  Erez E. Shermer

IPC分类号： G06K9/00

CPC分类号： G06T5/002 ,  G06T5/008 ,  G06T5/40 ,  G06T2207/30068

摘要： A method for normalizing an image of tissue from a patient. The image type is determined, then the background content values in the image data are distinguished from tissue content values according to the image type. Noise is reduced in the background content values. A look-up table is formed for remapping tissue content values to a predetermined range. Tissue content values are remapped according to the look-up table to provide a normalized image.

摘要翻译： 一种用于使来自患者的组织的图像标准化的方法。 确定图像类型，然后根据图像类型将图像数据中的背景内容值与组织内容值区分开。 背景内容值降低噪音。 形成用于将组织内容值重新映射到预定范围的查找表。 组织内容值根据查找表重新映射以提供标准化图像。

公开(公告)号：US20110123074A1

公开(公告)日：2011-05-26

申请号：US12626586

申请日：2009-11-25

申请人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

发明人： Yao Nie ,  Chao Shi ,  Nariman Majdi-Nasab ,  Akira Hasegawa

IPC分类号： G06K9/00

CPC分类号： G06T5/008 ,  A61B6/12 ,  A61B6/5252 ,  G06K2209/057 ,  G06T2207/10116 ,  G06T2207/30068

摘要： A system and method are provided for altering the appearance of an artificial object in a medical image. An artificial object is first identified in the medical image, such as identifying a breast implant in a mammography image. The prominence of the artificial object is then reduced, for example by suppressing the brightness or masking the artificial object out altogether. The resulting medical image with the altered artificial object is then displayed to a user so that the medical image can be more accurately analyzed without requiring the user to adjust the image on his or her own.

摘要翻译： 提供了用于改变医学图像中的人造物体的外观的系统和方法。 首先在医学图像中识别人造物体，例如在乳房X线照相图像中识别乳房植入物。 然后减少人造物体的突出，例如通过抑制亮度或完全遮蔽人造物体。 然后将所得到的具有改变的人造对象的医学图像显示给用户，使得可以更准确地分析医学图像，而不需要用户自己调整图像。