Literature DB >> 24438822

Primary ciliary dyskinesia assessment by means of optical flow analysis of phase-contrast microscopy images.

Eduardo Parrilla1, Miguel Armengot2, Manuel Mata3, José Manuel Sánchez-Vílchez4, Julio Cortijo3, José L Hueso5, Jaime Riera5, David Moratal6.   

Abstract

Primary ciliary dyskinesia implies cilia with defective or total absence of motility, which may result in sinusitis, chronic bronchitis, bronchiectasis and male infertility. Diagnosis can be difficult and is based on an abnormal ciliary beat frequency (CBF) and beat pattern. In this paper, we present a method to determine CBF of isolated cells through the analysis of phase-contrast microscopy images, estimating cilia motion by means of an optical flow algorithm. After having analyzed 28 image sequences (14 with a normal beat pattern and 14 with a dyskinetic pattern), the normal group presented a CBF of 5.2 ± 1.6 Hz, while the dyskinetic patients presented a 1.9 ± 0.9 Hz CBF. The cutoff value to classify a dyskinetic specimen was set to 3.45 Hz (sensitivity 0.86, specificity 0.93). The presented methodology has provided excellent results to objectively diagnose PCD.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Active contours; Beat frequency; Fourier-Mellin transform; Optical flow; Primary ciliary dyskinesia

Mesh:

Year:  2013        PMID: 24438822     DOI: 10.1016/j.compmedimag.2013.12.010

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  2 in total

1.  Assessing the Collective Dynamics of Motile Cilia in Cultures of Human Airway Cells by Multiscale DDM.

Authors:  Luigi Feriani; Maya Juenet; Cedar J Fowler; Nicolas Bruot; Maurizio Chioccioli; Steven M Holland; Clare E Bryant; Pietro Cicuta
Journal:  Biophys J       Date:  2017-07-11       Impact factor: 4.033

2.  Quantitative Analysis of Intracellular Motility Based on Optical Flow Model.

Authors:  Yali Huang; Lei Hao; Heng Li; Zhiwen Liu; Peiguang Wang
Journal:  J Healthc Eng       Date:  2017-07-30       Impact factor: 2.682

  2 in total

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