title: Separation of preterm infection model from normal pregnancy in mice using texture analysis of second harmonic generation images.
abstract: This paper presents an image processing system to distinguish a lipopolysaccharide (LPS) infection model of preterm labor from normal mouse pregnancy using Second Harmonic Generation (SHG) images of mouse cervix. Two classes of SHG images are considered: images from mice in which premature birth was caused by intrauterine LPS administration and images from normal pregnant mice. A wide collection of image texture features consisting of co-occurrence matrix-based, granulometry-based and wavelet-based are examined. The results obtained indicate that the combination of co-occurrence-based and granulometry-based textures features provides the most effective texture set for separating these two classes of images.
authors.affiliation: Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA.
authors.forename: S
authors.initials: S
authors.lastname: Yousefi
authors.forename: N
authors.initials: N
authors.lastname: Kehtarnavaz
authors.forename: M
authors.initials: M
authors.lastname: Akins
authors.forename: K
authors.initials: K
authors.lastname: Luby-Phelps
authors.forename: M
authors.initials: M
authors.lastname: Mahendroo
mesh_terms: D000818:Animals; D001424:Bacterial Infections / Q000473:pathology*; D002584:Cervix Uteri / Q000187:drug effects / Q000473:pathology; D004195:Disease Models, Animal; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008070:Lipopolysaccharides / Q000494:pharmacology; D051379:Mice; D011247:Pregnancy; D047928:Premature Birth / Q000473:pathology*; D058067:Wavelet Analysis
chemical_list: D008070:Lipopolysaccharides