Haberkorn U, Rudat V, Layer G, Zuna I, Lorenz A, van Kaick G
Abteilung für Onkologische Diagnostik und Therapie, Deutsches Krebsforschungszentrum Heidelberg.
Rofo. 1991 Oct;155(4):327-31. doi: 10.1055/s-2008-1033272.
Using a tissue-mimicking phantom and a computerised sonography system an ultrasound b scan analysis was performed. The images were acquired with different fat-muscle combinations as ultrasound wave path. These are simulations of a different composition or thickness of the abdominal wall. The analysis of the ultrasound images was performed using mathematical statistical parameters for ultrasound tissue characterisation. We examined the influence of the thickness or composition of the abdominal wall on ultrasound image brightness, microtexture and macrotexture. A dependence of ultrasound image brightness and microtexture on the thickness of the fat path was observed. Muscle tissue shows only a weak influence on the microtexture of the ultrasound image. These data demonstrate that a thick fat layer leads to a darker and diffuse image. This disturbs the evaluation e.g. of the liver parenchyma by analysis of the echo structure and may lead to false diagnoses especially in adiposity.
使用组织模拟体模和计算机超声系统进行了超声B扫描分析。以不同的脂肪-肌肉组合作为超声波传播路径采集图像。这些是对腹壁不同组成或厚度的模拟。使用用于超声组织表征的数学统计参数对超声图像进行分析。我们研究了腹壁厚度或组成对超声图像亮度、微观纹理和宏观纹理的影响。观察到超声图像亮度和微观纹理与脂肪路径厚度有关。肌肉组织对超声图像微观纹理的影响较弱。这些数据表明，厚脂肪层会导致图像更暗且模糊。这会干扰例如通过回声结构分析对肝实质的评估，并可能导致误诊，尤其是在肥胖患者中。
