Mailloux G, Bertrand M, Stampfler R, Ethier S
J Clin Ultrasound. 1986 Sep;14(7):521-7. doi: 10.1002/jcu.1870140705.
Ultrasound B-scan images of the thyroid obtained from 10 patients with Hashimoto disease were digitized and processed by a computer method of image analysis that segments complex B-scan images into regions of homogeneous texture. The method was first applied to B-scan images of the normal thyroid and it consistently classified the normal tissue into a unique region. When applied to Hashimoto disease B-scan images, the same method segmented the thyroid into two regions. Detailed analysis of these regions revealed that their gray-level histograms were very different from that of the normal thyroid in eight cases. In two cases the histogram of one of the regions was similar to that of the previous eight cases, whereas the histogram and the tissue of the other region were similar to those of the normal tissue. This paper shows how these results can be interpreted according to the natural history of the Hashimoto disease.
从10例桥本氏病患者获取的甲状腺超声B超图像进行了数字化处理，并采用一种图像分析计算机方法进行处理，该方法将复杂的B超图像分割成纹理均匀的区域。该方法首先应用于正常甲状腺的B超图像，它始终将正常组织分类到一个独特的区域。当应用于桥本氏病的B超图像时，相同的方法将甲状腺分割成两个区域。对这些区域的详细分析表明，在8例中它们的灰度直方图与正常甲状腺的灰度直方图非常不同。在2例中，其中一个区域的直方图与前8例相似，而另一个区域的直方图和组织与正常组织相似。本文展示了如何根据桥本氏病的自然病史来解释这些结果。
