Lindström Stefan B, Uhlin Fredrik, Bjarnegård Niclas, Gylling Micael, Nilsson Kamilla, Svensson Christina, Yngman-Uhlin Pia, Länne Toste
Departments of Management and Engineering, Linköping University, Linköping, Sweden.
Departments of Medical and Health Sciences, Linköping University, Linköping, Sweden.
J Ultrasound Med. 2018 Apr;37(4):1025-1031. doi: 10.1002/jum.14439. Epub 2017 Oct 13.
A method for computer-aided assessment of blood vessel geometries based on shape-fitting algorithms from metric vision was evaluated. Acoustic images of cross sections of the radial artery and cephalic vein were acquired, and medical practitioners used a computer application to measure the wall thickness and nominal diameter of these blood vessels with a caliper method and the shape-fitting method. The methods performed equally well for wall thickness measurements. The shape-fitting method was preferable for measuring the diameter, since it reduced systematic errors by up to 63% in the case of the cephalic vein because of its eccentricity.
对一种基于度量视觉的形状拟合算法进行计算机辅助血管几何评估的方法进行了评估。采集了桡动脉和头静脉横截面的声学图像，医学从业者使用计算机应用程序通过卡尺法和形状拟合方法测量这些血管的壁厚和标称直径。两种方法在壁厚测量方面表现相当。形状拟合方法在测量直径方面更可取，因为对于偏心的头静脉，它可将系统误差降低多达63%。
