Paper Info
Title
Automated Detection Of Cilia In Low Magnification Transmission Electron Microscopy Images Using Template Matching
Abstract
Ultrastructural analysis using Transmission Electron Microscopy (TEM) is a common approach for diagnosing primary ciliary dyskinesia. The manually performed diagnostic procedure is time consuming and subjective, and automation of the process is highly desirable. We aim at automating the search for plausible cilia instances in images at low magnification, followed by acquisition of high magnification images of regions with detected cilia for further analysis. This paper presents a template matching based method for automated detection of cilia objects in low magnification TEM images, where object radii do not exceed 10 pixels. We evaluate the performance of a series of synthetic templates generated for this purpose by comparing automated detection with results manually created by an expert pathologist. The best template achieves a detection at equal error rate of 47 % which suffices to identify densely populated cilia regions suitable for high magnification imaging.
Year
DOI
Venue
2016
10.1109/ISBI.2016.7493289
2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
Keywords
Field
DocType
Normalized cross-correlation, Automated image acquisition, Primary ciliary dyskinesia
Template matching,Cross-correlation,Computer vision,Pattern recognition,Computer science,Word error rate,Transmission electron microscopy,Automation,Artificial intelligence,Pixel,Template,Magnification
Conference
ISSN
Citations 
PageRank 
1945-7928
3
0.55
References 
Authors
1
5
Name
Order
Citations
PageRank
Amit Suveer130.89
Natasa Sladoje220426.16
Joakim Lindblad319727.45
Anca Dragomir451.38
Ida-Maria Sintorn511413.85