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Fully automatic and reference marker-free image stitching method for full-spine and full-leg imaging with computed radiography

机译:全自动和参考无标记图像拼接方法,用于计算机放射成像的全脊柱和全腿成像

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Full-leg and full-spine imaging with standard computed radiography (CR) systems requires several cassettes/storage phosphor screens to be placed in a staggered arrangement and exposed simultaneously to achieve an increased imaging area. A method has been developed that can automatically and accurately stitch the acquired sub-images without relying on any external reference markers. It can detect and correct the order, orientation, and overlap arrangement of the sub-images for stitching. The automatic determination of the order, orientation, and overlap arrangement of the sub-images consists of (1) constructing a hypothesis list that includes all cassette/screen arrangements, (2) refining hypotheses based on a set of rules derived from imaging physics, (3) correlating each consecutive sub-image pair in each hypothesis and establishing an overall figure-of-merit, (4) selecting the hypothesis of maximum figure-of-merit. The stitching process requires the CR reader to over scan each CR screen so that the screen edges are completely visible in the acquired sub-images. The rotational displacement and vertical displacement between two consecutive sub-images are calculated by matching the orientation and location of the screen edge in the front image and its corresponding shadow in the back image. The horizontal displacement is estimated by maximizing the correlation function between the two image sections in the overlap region. Accordingly, the two images are stitched together. This process is repeated for the newly stitched composite image and the next consecutive sub-image until a full-image composite is created. The method has been evaluated in both phantom experiments and clinical studies. The standard deviation of image misregistration is below one image pixel.
机译:使用标准计算机射线照相(CR)系统进行的全腿和全脊柱成像需要将多个盒式磁带/存储荧光屏以交错的方式放置并同时曝光以实现更大的成像面积。已经开发了一种方法,该方法可以自动且准确地缝合所获取的子图像,而无需依赖任何外部参考标记。它可以检测和校正用于拼接的子图像的顺序,方向和重叠排列。子图像的顺序,方向和重叠排列的自动确定包括:(1)构造一个假设列表,其中包括所有暗盒/屏幕的排列;(2)根据一组从成像物理学得出的规则来完善假设, (3)将每个假设中的每个连续子图像对相关联,并建立一个总体品质因数,(4)选择最大品质因数的假设。拼接过程需要CR阅读器对每个CR屏幕进行过度扫描,以使屏幕边缘在所获取的子图像中完全可见。通过匹配正面图像中屏幕边缘的方向和位置以及背面图像中屏幕边缘的对应阴影,可以计算出两个连续子图像之间的旋转位移和垂直位移。通过最大化重叠区域中的两个图像部分之间的相关函数来估计水平位移。因此,将两个图像缝合在一起。对新缝合的合成图像和下一个连续的子图像重复此过程,直到创建全图像合成为止。该方法已在幻影实验和临床研究中进行了评估。图像重合失准的标准偏差在一个图像像素以下。

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