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使用数字图像处理技术对小鼠腮腺显微图像进行分析。

Image analysis of microsialograms of the mouse parotid gland using digital image processing.

作者信息

Yoshiura K, Ohki M, Yamada N

机构信息

Department of Oral Radiology, Nagasaki University School of Dentistry, Japan.

出版信息

Dentomaxillofac Radiol. 1991 Feb;20(1):17-24. doi: 10.1259/dmfr.20.1.1884847.

DOI:10.1259/dmfr.20.1.1884847
PMID:1884847
Abstract

We compared two digital-image feature-extraction methods for the analysis of microsialograms of the mouse parotid gland following either overfilling, experimentally induced acute sialoadenitis or irradiation. Microsialograms were digitized using a drum-scanning microdensitometer. The grey levels were then partitioned into four bands representing soft tissue, peripheral minor, middle-sized and major ducts, and run-length and histogram analysis of the digital images performed. Serial analysis of microsialograms during progressive filling showed that both methods depicted the structural characteristics of the ducts at each grey level. However, in the experimental groups, run-length analysis showed slight changes in the peripheral duct system more clearly. This method was therefore considered more effective than histogram analysis.

摘要

我们比较了两种数字图像特征提取方法,用于分析小鼠腮腺在过度充盈、实验性诱导的急性涎腺炎或辐照后的微涎腺造影图。使用鼓式扫描显微密度计对微涎腺造影图进行数字化处理。然后将灰度级划分为四个波段,分别代表软组织、外周小导管、中等大小导管和主导管,并对数字图像进行游程长度和直方图分析。在渐进充盈过程中对微涎腺造影图进行的系列分析表明,两种方法都能描绘出每个灰度级导管的结构特征。然而,在实验组中,游程长度分析更清晰地显示了外周导管系统的细微变化。因此,该方法被认为比直方图分析更有效。

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Image analysis of microsialograms of the mouse parotid gland using digital image processing.使用数字图像处理技术对小鼠腮腺显微图像进行分析。
Dentomaxillofac Radiol. 1991 Feb;20(1):17-24. doi: 10.1259/dmfr.20.1.1884847.
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