title: Rapid quantification of pixel-wise fiber orientation data in micrographs.
abstract: Defining fiber orientation at each pixel within a medical image has traditionally been computationally intensive and prone to systematic errors. A weighted orientation vector summation algorithm capable of detecting fiber orientation simultaneously at each pixel within an image is presented. As a result, pixel-specific fiber orientation information with 2 deg to 3 deg accuracy can be determined within seconds, enabling the practical use of pixel-wise orientation data for characterizing structural anisotropy. This analysis technique has applicability and potential diagnostic utility for a variety of modalities, including second harmonic generation, scanning electron microscopy and immunohistochemical imaging is demonstrated.
authors.affiliation: Tufts University, Science & Technology Center, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, USA. Kyle.Quinn@tufts.edu
authors.forename: Kyle P
authors.initials: KP
authors.lastname: Quinn
authors.forename: Irene
authors.initials: I
authors.lastname: Georgakoudi
mesh_terms: D000465:Algorithms; D000818:Animals; D016880:Anisotropy; D002645:Chickens; D005727:Ganglia, Spinal / Q000648:ultrastructure; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007150:Immunohistochemistry; D008954:Models, Biological; D010784:Photomicrography / Q000379:methods*
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