Histogram processing-based image enhancement of digital radiography for detection of cardiac calcification

Xiang Chen, Jie Jin, Baowei Fei

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

1 Scopus citations

Abstract

We are investigating histogram processing based image enhancement techniques to improve the ability of digital radiography (DR) for the detection of cardiac calcification. Computed tomography (CT) is an established tool for the diagnosis of coronary artery calcification. Digital radiography could be a cost-effective alternative. In this study, we assume that the DR image intensity values of calcified tissue have a Gaussian distribution. We use multiple Gaussian functions to fit the intensity histogram curve of DR images. Based on the mean and standard deviation parameters, we incorporated the histogram equalization enhancement method for each histogram portion of cardiac calcification. Thus, the calcification image was enhanced exclusively. We used three-dimensional (3D) CT images as the "gold standard" to evaluate the enhanced DR images for calcification detection. We acquired both CT and DR images from patients with coronary artery diseases. Experimental results show that the image enhancement method improved the ability of digital radiography for the detection of cardiac calcification.

Original languageEnglish (US)
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Pages939-942
Number of pages4
DOIs
StatePublished - Apr 16 2013
Externally publishedYes
EventWorld Congress on Medical Physics and Biomedical Engineering - Beijing, China
Duration: May 26 2012May 31 2012

Publication series

NameIFMBE Proceedings
Volume39 IFMBE
ISSN (Print)1680-0737

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering
CountryChina
CityBeijing
Period5/26/125/31/12

Keywords

  • coronary artery calcification
  • digital radiography
  • intensity histogram

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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