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    • 1. 发明授权
    • Three-dimensional reconstructions of a breast from two X-ray mammographics
    • 来自两个X射线乳房摄影术的乳房三维重建
    • US07519212B2
    • 2009-04-14
    • US10221778
    • 2001-01-31
    • John Michael BradyRalph HighnamShuk Wah Margaret Yam
    • John Michael BradyRalph HighnamShuk Wah Margaret Yam
    • G06K9/00A61B6/04A61B8/00
    • G06T7/0012G06T7/55G06T2207/30068
    • Methods are described for the production of a three-dimensional reconstruction of a undeformed object from two different views of the object under deformation using a volume constraint and also by matching corresponding features in the two images. The volume constraint involves assuming that the deformed volume is the same as the undeformed volume, and calculating the deformed volume from one of the images. Further, the deformation of the object can be parameterised by finding corresponding image entities in the each of the images. The method is particularly applicable to breast mammograms in which case the two images are the cranio-caudal (CC) image and medio-lateral oblique (MLO) image whose angular separation varies from 35 to 60 degrees. The image entities which are detected in the two images are microcalcifications, and these are matched by detecting a value representing their volume a looking for matches in this value between the two images.
    • 描述了用于使用体积约束从变形的对象的两个不同视图以及通过匹配两个图像中的对应特征来生成未变形对象的三维重建的方法。 体积约束假设变形的体积与未变形的体积相同,并且从一个图像计算变形的体积。 此外,可以通过在每个图像中找到对应的图像实体来参数化对象的变形。 该方法特别适用于乳房X线照片,在这种情况下,两幅图像是角度分离从35度到60度变化的颅尾(CC)图像和中 - 内倾斜(MLO)图像。 在两个图像中检测到的图像实体是微钙化,并且通过检测表示它们的体积的值来匹配这些图像,以在两个图像之间的该值中寻找匹配。
    • 3. 发明授权
    • Imaging technique and imaging system
    • 成像技术和成像系统
    • US09361683B2
    • 2016-06-07
    • US13990181
    • 2011-11-29
    • Ralph HighnamJohn Michael Brady
    • Ralph HighnamJohn Michael Brady
    • G06K9/00G06T7/00
    • G06T7/0012G06T7/0014G06T2207/10088G06T2207/10136G06T2207/30068
    • The present invention relates to an imaging technique and an imaging system and more particularly to an automatic assessment of quantitative measure(s)/properties(s) of an object wherein, for example, an imaging system is used to capture an image, following which image properties are quantified using image processing techniques. An imaging technique obtains an image of an object along a first axis, or by way of a first technique, and subsequently obtains an image of the object along a second axis, or by way of a second technique. One or more pixels from the first image are selected and designated as reference pixels. An automated comparison between corresponding regions of the first and second images are then performed which is based upon the reference pixels, so as to indicate regions of interest.
    • 本发明涉及成像技术和成像系统,并且更具体地涉及自动评估对象的定量测量/特性,其中例如使用成像系统来拍摄图像,随后, 图像属性使用图像处理技术进行量化。 成像技术获得沿着第一轴的物体的图像,或者通过第一技术获得物体的图像,并且随后通过第二轴获得物体的图像,或者通过第二技术获得物体的图像。 选择来自第一图像的一个或多个像素并将其指定为参考像素。 然后,基于参考像素执行第一和第二图像的相应区域之间的自动比较,以便指示感兴趣的区域。
    • 7. 发明申请
    • Imaging Technique and Imaging System
    • 成像技术与成像系统
    • US20140010429A1
    • 2014-01-09
    • US13990181
    • 2011-11-29
    • Ralph HighnamJohn Michael Brady
    • Ralph HighnamJohn Michael Brady
    • G06T7/00
    • G06T7/0012G06T7/0014G06T2207/10088G06T2207/10136G06T2207/30068
    • The present invention relates to an imaging technique and an imaging system and more particularly to an automatic assessment of quantitative measure(s)/properties(s) of an object wherein, for example, an imaging system is used to capture an image, following which image properties are quantified using image processing techniques. An imaging technique obtains an image of an object along a first axis, or by way of a first technique, and subsequently obtains an image of the object along a second axis, or by way of a second technique. One or more pixels from the first image are selected and designated as reference pixels. An automated comparison between corresponding regions of the first and second images are then performed which is based upon the reference pixels, so as to indicate regions of interest.
    • 本发明涉及成像技术和成像系统,并且更具体地涉及自动评估对象的定量测量/特性,其中例如使用成像系统来拍摄图像,随后, 图像属性使用图像处理技术进行量化。 成像技术获得沿着第一轴的物体的图像,或者通过第一技术获得物体的图像,并且随后通过第二轴获得物体的图像,或者通过第二技术获得物体的图像。 选择来自第一图像的一个或多个像素并将其指定为参考像素。 然后,基于参考像素执行第一和第二图像的相应区域之间的自动比较,以便指示感兴趣的区域。