A multivariate shape quantification approach for sickle red blood cell in patient-specific microscopy image data

Mengjia Xu, Jinzhu Yang, Hong Zhao

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

1 Scopus citations

Abstract

The morphological change of red blood cells(RBCs) plays an important role in revealing the biomechanical and biorheological characteristics of RBCs. Aiming to extract the shape indices for the sickle RBCs, an automated ex-vivo RBC shape quantification method is proposed. First, single RBC regions (ROIs) are extracted from raw microscopy image via an automatic hierarchical ROI extraction method. Second, an improved random walk method is used to detect the RBC outline. Finally, three types of RBC shape factors are calculated based on the elliptical fitting RBC contour. Experiments indicate that the proposed method can accurately segment the RBCs from the microscopy images with low contrast and prevent the disturbance of artifacts. Moreover, it can provide an efficient shape quantification means for diverse RBC shapes in a batch manner.

Original languageEnglish (US)
Title of host publicationNinth International Conference on Digital Image Processing, ICDIP 2017
EditorsXudong Jiang, Charles M. Falco
PublisherSPIE
ISBN (Electronic)9781510613041
DOIs
StatePublished - 2017
Externally publishedYes
Event9th International Conference on Digital Image Processing, ICDIP 2017 - Hong Kong, China
Duration: May 19 2017May 22 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10420
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference9th International Conference on Digital Image Processing, ICDIP 2017
Country/TerritoryChina
CityHong Kong
Period5/19/175/22/17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • batch processing
  • cell contour detection
  • microscopy image
  • shape analysis
  • Sickle cell disease

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