A fast and accurate tube diameter visualization method for digestive system medical images

Mitsuru Ueda, Masafumi Kondo, Isao Kayano, Yoshihiro Sejima, Tomoyuki Yokogawa, Yoichiro Sato, Yuusaku Sugihara, Kazuyuki Matsumoto

Research output: Contribution to journalArticlepeer-review

Abstract

Although the tube diameter and stenosis rate are important observations in the diagnosis using medical images of digestive organ, such as digestive systems, the diagnosis is based on the physician’s subjective evaluation. On the other hand, automatic measurement of tube diameters by image processing has been used for blood vessels, which are tubular tissues similar to digestive systems, and it is also possible to visualize the vessel diameter by assigning pseudo-colors according to the length of the vessel. However, it is difficult to apply the existing diameter visualization methods directly to digestive system medical images due to the processing time and accuracy problems because the tubes are large and tortuous, unlike blood vessels. In this paper, we propose a method to measure the tube diameter quickly by dynamically calculating the next featured pixel using the history of the midpoints of the tube diameter line. Furthermore, we derive an approximate curve corresponding to the centerline of the tube from the history of the featured pixels and measure the tube diameter with high accuracy. We applied the proposed method to various types of digestive system medical images and confirmed that the proposed method could accurately measure and visualize the tube diameter along the shape of the tube and reduce the processing time by up to 99%.

Original languageEnglish
Pages (from-to)982-991
Number of pages10
JournalIEEJ Transactions on Electronics, Information and Systems
Volume141
Issue number9
DOIs
Publication statusPublished - Sep 1 2021
Externally publishedYes

Keywords

  • Automated diameter measurement
  • Color mapping
  • Dynamic centerline detection
  • Image processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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