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    • 8. 发明申请
    • Method and system for automatic axial rotation correction in vivo images
    • 自动轴向旋转校正体内图像的方法和系统
    • US20050123179A1
    • 2005-06-09
    • US10729756
    • 2003-12-05
    • Shoupu ChenLawrence RayNathan Cahill
    • Shoupu ChenLawrence RayNathan Cahill
    • G06T3/60G06K9/00G06K9/36
    • A61B1/041G06T3/60
    • A digital image processing method for automatic axial rotation correction for in vivo images, comprising selecting, as a reference image, a first arbitrary in vivo image from a plurality of in vivo images, and subsequently, finding a rotation angle between a second arbitrary in vivo image selected from the plurality of in vivo images and the reference image. The method next corrects the orientation of the second arbitrary in vivo image, with respect to orientation of the reference image and corresponding to the rotation angle, before finding the rotation angle between other selected in vivo images and the reference image. Additionally, the method corrects for the other selected in vivo images that do not match the reference image's orientation and where there exists a rotation angle between the other selected in vivo images and the reference image.
    • 一种用于体内图像的自动轴向旋转校正的数字图像处理方法,包括从多个体内图像中选择作为参考图像的第一任意体内图像,并且随后在体内第二任意体内找到旋转角度 从所述多个体内图像和所述参考图像中选择的图像。 该方法接着在找到其他所选择的体内图像与参考图像之间的旋转角度之前,相对于参考图像的取向并对应于旋转角来校正第二任意体内图像的取向。 此外,该方法校正与参考图像的取向不匹配的其他所选择的体内图像,并且其中存在其他所选择的体内图像与参考图像之间的旋转角度。
    • 9. 发明申请
    • Method of image registration using mutual information
    • 使用相互信息的图像注册方法
    • US20050147325A1
    • 2005-07-07
    • US10747594
    • 2003-12-29
    • Shoupu ChenLawrence RayNathan CahillMarvin GoodgameCranos Williams
    • Shoupu ChenLawrence RayNathan CahillMarvin GoodgameCranos Williams
    • G06K9/00G06K9/32G06K9/64
    • G06K9/6212
    • A digital image processing method for image registration, that acquires a reference intensity image and a floating intensity image that is to be registered; and preprocesses the reference and the floating images, before converting the preprocessed reference image to a vectorized reference image. Subsequently, the vectorized reference image is converted to a reference index image. Additional image processing includes spatially transforming the preprocessed floating image using a transformation matrix; converting the transformed floating image to a vectorized floating image; converting the vectorized floating image to a floating index image; and obtaining joint statistics of the index images. Other steps include, computing a cost function due to misalignment of the two images using the joint statistics; and updating the transformation matrix and repeating several aforementioned steps, if the cost function does not satisfy a predefined criterion, otherwise, applying the transformation matrix to an acquired floating intensity image.
    • 一种用于图像配准的数字图像处理方法,其获取要登记的参考强度图像和浮动强度图像; 并在将预处理参考图像转换为矢量化参考图像之前,预处理参考和浮动图像。 随后,将矢量化参考图像转换为参考索引图像。 附加图像处理包括使用变换矩阵对预处理的浮动图像进行空间变换; 将变换的浮动图像转换为矢量化的浮动图像; 将矢量化浮动图像转换为浮动索引图像; 并获得索引图像的联合统计。 其他步骤包括:使用联合统计计算两个图像的未对准的成本函数; 并且如果所述成本函数不满足预定标准,则更新所述变换矩阵并重复若干上述步骤,否则,将所述变换矩阵应用于所获取的浮动强度图像。