Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound
Joint Authors
Patašius, M.
Jurkonis, R.
Lukoševičius, A.
Paunksnis, A.
Marozas, V.
Daukantas, S.
Janušauskas, A.
Jegelevičius, D.
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-02
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
Algorithms and software were developed for analysis of B-scan ultrasonic signals acquired from commercial diagnostic ultrasound system.
The algorithms process raw ultrasonic signals in backscattered spectrum domain, which is obtained using two time-frequency methods: short-time Fourier and Hilbert-Huang transformations.
The signals from selected regions of eye tissues are characterized by parameters: B-scan envelope amplitude, approximated spectral slope, approximated spectral intercept, mean instantaneous frequency, mean instantaneous bandwidth, and parameters of Nakagami distribution characterizing Hilbert-Huang transformation output.
The backscattered ultrasound signal parameters characterizing intraocular and orbit tissues were processed by decision tree data mining algorithm.
The pilot trial proved that applied methods are able to correctly classify signals from corpus vitreum blood, extraocular muscle, and orbit tissues.
In 26 cases of ocular tissues classification, one error occurred, when tissues were classified into classes of corpus vitreum blood, extraocular muscle, and orbit tissue.
In this pilot classification parameters of spectral intercept and Nakagami parameter for instantaneous frequencies distribution of the 1st intrinsic mode function were found specific for corpus vitreum blood, orbit and extraocular muscle tissues.
We conclude that ultrasound data should be further collected in clinical database to establish background for decision support system for ocular tissue noninvasive differentiation.
American Psychological Association (APA)
Jurkonis, R.& Janušauskas, A.& Marozas, V.& Jegelevičius, D.& Daukantas, S.& Patašius, M.…[et al.]. 2012. Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-504955
Modern Language Association (MLA)
Jurkonis, R.…[et al.]. Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound. The Scientific World Journal No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-504955
American Medical Association (AMA)
Jurkonis, R.& Janušauskas, A.& Marozas, V.& Jegelevičius, D.& Daukantas, S.& Patašius, M.…[et al.]. Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-504955
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504955