New image processing models for opacity image analysis in chest radiographs

Author

Pattichis, M.S. ; Muralldharan, H. ; Pattichis, C.S. ; Soliz, P.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of New Mexico, NM, USA

fYear

2002

fDate

2002

Firstpage

260

Lastpage

264

Abstract

The aim of this research is to develop new image processing models that can be used to characterize single opacities and opacity density within pre-selected regions of interest (ROI). We derive our new image processing models based on the International Labor Organization (ILO) standard for assessing opacity shape and profusion. Pattern spectrum analysis is used for opacity shape and profusion measurements. Opacity enhancement is done using a novel AM-FM model. We use radial pattern spectra to detect the presence of opacities within the ROI, and measure opacity density. The opacity shape and profusion measurement results compare favorably with the ILO standards. The AM-FM model appears to be well-suited for single opacity enhancement

Keywords

diagnostic radiography; image segmentation; lung; medical image processing; opacity; spectral analysis; AM-FM model; ILO standard; International Labor Organization; chest radiographs; image processing models; lung; miners; opacity density; opacity image analysis; pattern spectrum analysis; pre-selected ROI; profusion measurements; radial pattern spectra; regions of interest; Density measurement; Image analysis; Image processing; Lungs; Medical conditions; Radiography; Shape measurement; Silicon compounds; Standards organizations; X-rays;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation, 2002. Proceedings. Fifth IEEE Southwest Symposium on

Conference_Location

Sante Fe, NM

Print_ISBN

0-7695-1537-1

Type

conf

DOI

10.1109/IAI.2002.999929

Filename

999929