Mammogram synthesis using a 3D simulation. II. Evaluation of synthetic mammogram texture

Mammogram synthesis using a 3D simulation. II. Evaluation of synthetic mammogram texture
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DOI:
10.1118/1.1501144
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发表时间:
2002-09-01
期刊:
影响因子:
3.8
通讯作者:
Maidment, ADA
Maidment, ADA
中科院分区:
医学3区
文献类型:
--
作者:
Bakic, PR;Albert, M;Maidment, ADA

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我们已经评估了一种合成乳房X光照片的方法,通过比较临床和合成乳房X光照片的纹理。合成算法是基于对乳房组织和乳房X光成像过程的模拟。通过模拟脂肪组织隔间的投影来合成乳房X线片纹理。假设合成纹理和临床纹理具有相似的属性,假设乳房X光照片纹理反映3D组织分布。通过数学形态学计算出投影室的大小。根据四个不同组织区域的纹理特征在临床和合成乳房X线片中的分布情况,计算和分析了纹理能量和分维。对95张乳腺X光片计算的平均特征的累积分布的比较表明,合成图像模拟了临床乳房X光片的纹理的平均特征。在所有图像上平均的临床和合成纹理特征直方图的相关性表明,合成图像可以模拟在一大组乳房X光照片上看到的特征范围。以脂肪组织为主的模拟隔室半径为4~13.3 mm,乳晕后纤维腺组织和致密纤维腺组织的半径分别为2.7~5.33 mm和1.3~2.7 mm,与临床质地吻合最好。(C)2002年美国医学物理学家协会。
We have evaluated a method for synthesizing mammograms by comparing the texture of clinical and synthetic mammograms. The synthesis algorithm is based upon simulations of breast tissue and the mammographic imaging process. Mammogram texture was synthesized by projections of simulated adipose tissue compartments. It was hypothesized that the synthetic and clinical texture have similar properties, assuming that the mammogram texture reflects the 3D tissue distribution. The size of the projected compartments was computed by mathematical morphology. The texture energy and fractal dimension were also computed and analyzed in terms of the distribution of texture features within four different tissue regions in clinical and synthetic mammograms. Comparison of the cumulative distributions of the mean features computed from 95 mammograms showed that the synthetic images simulate the mean features of the texture of clinical mammograms. Correlation of clinical and synthetic texture feature histograms, averaged over all images, showed that the synthetic images can simulate the range of features seen over a large group of mammograms. The best agreement with clinical texture was achieved for simulated compartments with radii of 4-13.3 mm in predominantly adipose tissue regions, and radii of 2.7-5.33 and 1.3-2.7 mm in retroareolar and dense fibroglandular tissue regions, respectively. (C) 2002 American Association of Physicists in Medicine.