Quantitative measurement of nerve cells and myelin sheaths from microscopic images via two-staged segmentation

Yung Chun Liu, Chih Kai Chen, Hsin Chen Chen, Syu Huai Hong, Cheng Chang Yang, I. Ming Jou, Yung Nien Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cell morphology measurement is important in evaluating the injury level of nervous system. However, current measurement process is mostly achieved by manual estimation which is subjective and time-consuming. We hence propose a two-stage method to automatically segment axons and myelin sheaths from microscopic images for measuring the cell morphology quantitatively. First, an automatic thresholding method is used to obtain axon candidates and then geometric and image properties are used to assure the axon regions. Second, the outer contour of myelin sheath is segmented using the active contour model with the obtained axon contour as the initial solution. Then, the desired morphological parameters can be readily measured. In the experiments, we used seven nerve images for accuracy validation and achieved very small contour distance errors (less than 0.5 μm with nerve diameter around 8 μm in average). Overall, the proposed method is found efficient and useful in nerve parameter evaluation.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings
Pages486-494
Number of pages9
EditionPART 3
DOIs
Publication statusPublished - 2012 Mar 27
Event4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012 - Kaohsiung, Taiwan
Duration: 2012 Mar 192012 Mar 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume7198 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012
CountryTaiwan
CityKaohsiung
Period12-03-1912-03-21

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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