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首页> 外文会议>Medical Imaging 1997: Image Processing >Detection and measurement of tubulitis in renal allograft rejection
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Detection and measurement of tubulitis in renal allograft rejection

机译：肾移植排斥反应中肾小管炎的检测和测量

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Abstract: Tubulitis is one of the most reliable signs of acute renal allograft rejection. It occurs when mononuclear cells are localized between the lining tubular epithelial cells with or without disruption of the tubular basement membrane. It has been found that tubulitis takes place predominantly in the regions of the distal convoluted tubules and the cortical collecting system. The image processing tasks are to find the tubule boundaries and to find the relative location of the lymphocytes and epithelial cells and tubule boundaries. The requirement for accuracy applies to determining the relative locations of the lymphocytes and the tubule boundaries. This paper will show how the different sizes and grey values of the lymphocytes and epithelial cells simplify their identification and location. Difficulties in finding the tubule boundaries image processing will be illustrated. It will be shown how proximate location of epithelial cells and the tubule boundary leads to distortion in determination of the calculated boundary. However, in tubulitis the lymphocytes and the tubule boundaries are proximate.In these cases the tubule boundary is adequately resolved and the image processing is satisfactory to determining relativity in location. An adaptive non-linear anisotropic diffusion process is presented for image filtering and segmentation. Multi-layer analysis is used to extract lymphocytes and tubulitis from images. This paper will discuss grading of tissue using the Banff system. The ability to use computer to use computer processing will be argued as obviating problems of reproducability of values for this classification. This paper will also feature discussion of alternative approaches to image processing and provide an assessment of their capability for improving the identification of the tubule boundaries. !9
机译：摘要：肾小管炎是急性肾移植排斥反应的最可靠的迹象之一。当单核细胞位于衬里的管状上皮细胞之间时，会发生或不破坏管状基膜的情况。已经发现，肾小管炎主要发生在远端回旋的肾小管和皮层收集系统的区域中。图像处理任务是找到肾小管边界，并找到淋巴细胞和上皮细胞与肾小管边界的相对位置。对准确性的要求适用于确定淋巴细胞和肾小管边界的相对位置。本文将展示淋巴细胞和上皮细胞的不同大小和灰度值如何简化它们的识别和定位。将说明发现肾小管边界图像处理的困难。在确定计算边界时，将显示上皮细胞和肾小管边界的邻近位置如何导致变形。然而，在肾小管炎中，淋巴细胞和肾小管边界很近。在这些情况下，肾小管边界已被充分分辨，并且图像处理足以确定位置的相对性。提出了一种自适应非线性各向异性扩散过程，用于图像滤波和分割。多层分析用于从图像中提取淋巴细胞和肾小管炎。本文将讨论使用Banff系统进行组织分级。使用计算机进行计算机处理的能力将被认为消除了该分类值的可再现性问题。本文还将重点讨论图像处理的替代方法，并评估其改善肾小管边界识别的能力。 ！9

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