title: Collagen morphology and texture analysis: from statistics to classification.
abstract: In this study we present an image analysis methodology capable of quantifying morphological changes in tissue collagen fibril organization caused by pathological conditions. Texture analysis based on first-order statistics (FOS) and second-order statistics such as gray level co-occurrence matrix (GLCM) was explored to extract second-harmonic generation (SHG) image features that are associated with the structural and biochemical changes of tissue collagen networks. Based on these extracted quantitative parameters, multi-group classification of SHG images was performed. With combined FOS and GLCM texture values, we achieved reliable classification of SHG collagen images acquired from atherosclerosis arteries with >90% accuracy, sensitivity and specificity. The proposed methodology can be applied to a wide range of conditions involving collagen re-modeling, such as in skin disorders, different types of fibrosis and muscular-skeletal diseases affecting ligaments and cartilage.
authors.affiliation: National Research Council Canada, Medical Devices Portfolio 435 Ellice Avenue, Winnipeg, MB, Canada R3B 1Y6.
authors.forename: Leila B
authors.initials: LB
authors.lastname: Mostaço-Guidolin
authors.forename: Alex C-T
authors.initials: AC
authors.lastname: Ko
authors.forename: Fei
authors.initials: F
authors.lastname: Wang
authors.forename: Bo
authors.initials: B
authors.lastname: Xiang
authors.forename: Mark
authors.initials: M
authors.lastname: Hewko
authors.forename: Ganghong
authors.initials: G
authors.lastname: Tian
authors.forename: Arkady
authors.initials: A
authors.lastname: Major
authors.forename: Masashi
authors.initials: M
authors.lastname: Shiomi
authors.forename: Michael G
authors.initials: MG
authors.lastname: Sowa
mesh_terms: D000818:Animals; D001011:Aorta / Q000378:metabolism / Q000473:pathology; D005260:Female; D024022:Fibrillar Collagens / Q000378:metabolism / Q000648:ultrastructure; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted; D036641:Microscopy, Fluorescence, Multiphoton / Q000379:methods*; D009203:Myocardial Infarction / Q000378:metabolism / Q000473:pathology; D058226:Plaque, Atherosclerotic / Q000378:metabolism / Q000473:pathology; D012372:ROC Curve; D011817:Rabbits; D051381:Rats; D060388:Support Vector Machine
chemical_list: D024022:Fibrillar Collagens