Diameter Estimation of Fallopian Tubes Using Visual Sensing

Amir M Hajiyavand, Matthew J Graham, Karl D Dearn

Research output: Contribution to journalArticlepeer-review

96 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number100
JournalBiosensors
Volume11
Issue number4
DOIs
Publication statusPublished - 1 Apr 2021

Keywords

  • Algorithms
  • Fallopian Tubes/anatomy & histology
  • Female
  • Humans
  • Monitoring, Physiologic/methods

Fingerprint

Dive into the research topics of 'Diameter Estimation of Fallopian Tubes Using Visual Sensing'. Together they form a unique fingerprint.

Cite this