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本文引用的文献

1
Segmentation and analysis of the glomerular basement membrane in renal biopsy samples using active contours: a pilot study.使用主动轮廓线对肾活检样本中的肾小球基底膜进行分割和分析：一项初步研究。
J Digit Imaging. 2010 Jun;23(3):323-31. doi: 10.1007/s10278-009-9188-6. Epub 2009 Feb 19.
2
Segmentation and analysis of the glomerular basement membrane using the split and merge method.使用分割合并法对肾小球基底膜进行分割与分析。
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3064-7. doi: 10.1109/IEMBS.2008.4649850.
3
Current position of electron microscopy in the diagnosis of glomerular diseases.电子显微镜在肾小球疾病诊断中的当前地位
Pol J Pathol. 2007;58(2):87-92.
4
Podocyte biology in diabetic nephropathy.糖尿病肾病中的足细胞生物学
Kidney Int Suppl. 2007 Aug(106):S36-42. doi: 10.1038/sj.ki.5002384.
5
Thin glomerular basement membrane nephropathy: incidence in 3471 consecutive renal biopsies examined by electron microscopy.薄肾小球基底膜肾病：3471例连续肾活检经电子显微镜检查的发病率
Arch Pathol Lab Med. 2006 May;130(5):699-706. doi: 10.5858/2006-130-699-TGBMNI.
6
Quantitative immunoelectron microscopy of type VI collagen in glomeruli in type I diabetic patients.I型糖尿病患者肾小球中VI型胶原蛋白的定量免疫电子显微镜检查
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Comput Biol Med. 1996 May;26(3):269-79. doi: 10.1016/0010-4825(96)00004-2.
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Kidney Int Suppl. 1982 May;11:S20-8.
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Thickness of glomerular basement membranes.肾小球基底膜厚度
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使用分割合并法分析肾活检图像中的肾小球基底膜：一项初步研究。

Analysis of the glomerular basement membrane in images of renal biopsies using the split-and-merge method: a pilot study.

作者信息

Kamenetsky Ilya, Rangayyan Rangaraj M, Benediktsson Hallgrimur

机构信息

Department of Electrical & Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.

出版信息

J Digit Imaging. 2010 Aug;23(4):463-74. doi: 10.1007/s10278-009-9233-5. Epub 2009 Sep 4.

DOI:10.1007/s10278-009-9233-5
PMID:19760293
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3046663/
Abstract

Abnormal thinning, thickening, or variation in the thickness of the glomerular basement membrane (GBM) are caused by familial hematuria, diabetes mellitus, and Alport syndrome, respectively. We propose a semi-automated procedure for the segmentation and analysis of the thickness of the GBM in images of renal biopsy samples obtained by using a transmission electron microscope (TEM). The procedure includes the split-and-merge algorithm, morphological image processing, skeletonization, and statistical analysis of the width of the GBM. The procedure was tested with 34 TEM images of six patients. The mean and standard deviation of the GBM width for a patient with normal GBM were estimated to be 368 +/- 177 nm, those for a patient with thin GBM associated with familial hematuria were 216 +/- 95 nm, and those for a patient with thick GBM due to diabetic nephropathy were 1,094 +/- 361 nm. Comparative analysis of the results of image processing with manual measurements by an experienced renal pathologist indicated low error in the range of 12 +/- 9 nm.

摘要

肾小球基底膜（GBM）厚度异常变薄、增厚或厚度变化分别由家族性血尿、糖尿病和阿尔波特综合征引起。我们提出了一种半自动程序，用于对使用透射电子显微镜（TEM）获得的肾活检样本图像中的GBM厚度进行分割和分析。该程序包括分裂合并算法、形态图像处理、骨架化以及GBM宽度的统计分析。该程序用6名患者的34张TEM图像进行了测试。GBM正常的患者，其GBM宽度的平均值和标准差估计为368±177纳米；与家族性血尿相关的GBM变薄患者，其GBM宽度的平均值和标准差为216±95纳米；因糖尿病肾病导致GBM增厚的患者，其GBM宽度的平均值和标准差为1094±361纳米。通过图像处理结果与经验丰富的肾脏病理学家手动测量结果的对比分析表明，误差较小，在12±9纳米范围内。