Diameter Estimation of Fallopian Tubes Using Visual Sensing.

Diameter Estimation of Fallopian Tubes Using Visual Sensing.
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DOI:
10.3390/bios11040100
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发表时间:
2021-04-01
期刊:
Biosensors
影响因子:
--
通讯作者:
Dearn KD
Dearn KD
中科院分区:
其他
文献类型:
--
作者:
Hajiyavand AM;Graham MJ;Dearn KD

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从二维图像计算任意血管形状的精确直径在医学和生物医学领域的各种应用中都有很大的用途。了解生物血管形态尺寸的变化有助于更好地了解它们的特性和功能。由于管子的尺寸沿其长度不断变化,估计管子的直径是非常具有挑战性的。本文描述了一种连续变化截面的生物管径估计的新算法。该算法使用各种受控图像进行评估,提供了比手动测量更高和更好的自动直径估计,并提供了关于管子沿线直径变化的准确信息。结果表明,该自动算法在较短的时间内提供了更准确的结果。这种方法有可能加快在广泛的医学领域的诊断程序。
Calculating an accurate diameter of arbitrary vessel-like shapes from 2D images is of great use in various applications within medical and biomedical fields. Understanding the changes in morphological dimensioning of the biological vessels provides a better understanding of their properties and functionality. Estimating the diameter of the tubes is very challenging as the dimensions change continuously along its length. This paper describes a novel algorithm that estimates the diameter of biological tubes with a continuously changing cross-section. The algorithm, evaluated using various controlled images, provides an automated diameter estimation with higher and better accuracy than manual measurements and provides precise information about the diametrical changes along the tube. It is demonstrated that the automated algorithm provides more accurate results in a much shorter time. This methodology has the potential to speed up diagnostic procedures in a wide range of medical fields.
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