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Literature DB >> 19618198

Advances in laryngeal imaging.

Antanas Verikas¹, Virgilijus Uloza, Marija Bacauskiene, Adas Gelzinis, Edgaras Kelertas.

Abstract

Imaging and image analysis became an important issue in laryngeal diagnostics. Various techniques, such as videostroboscopy, videokymography, digital kymography, or ultrasonography are available and are used in research and clinical practice. This paper reviews recent advances in imaging for laryngeal diagnostics.

Mesh：

Year: 2009 PMID： 19618198 DOI： 10.1007/s00405-009-1050-4

Source DB: PubMed Journal: Eur Arch Otorhinolaryngol ISSN： 0937-4477 Impact factor: 2.503

85 in total

1. Imaging of vocal fold vibration by digital multi-plane kymography.

Authors: M Tigges; T Wittenberg; P Mergell; U Eysholdt
Journal: Comput Med Imaging Graph Date: 1999 Nov-Dec Impact factor: 4.790

2. [Imaging diagnostics of the pharynx and larynx].

Authors: S Ruffing; T Struffert; A Grgic; W Reith
Journal: Radiologe Date: 2005-09 Impact factor: 0.635

3. Analysis of vocal-fold vibrations from high-speed laryngeal images using a Hilbert transform-based methodology.

Authors: Yuling Yan; Kartini Ahmad; Melda Kunduk; Diane Bless
Journal: J Voice Date: 2005-06 Impact factor: 2.009

Review 4. What have we learned about laryngeal physiology from high-speed digital videoendoscopy?

Authors: Stellan Hertegård
Journal: Curr Opin Otolaryngol Head Neck Surg Date: 2005-06 Impact factor: 2.064

5. Towards a computer-aided diagnosis system for vocal cord diseases.

Authors: A Verikas; A Gelzinis; M Bacauskiene; V Uloza
Journal: Artif Intell Med Date: 2006-01 Impact factor: 5.326

6. Functional analysis of voice using simultaneous high-speed imaging and acoustic recordings.

Authors: Yuling Yan; Edward Damrose; Diane Bless
Journal: J Voice Date: 2006-09-11 Impact factor: 2.009

7. Extracting physiologically relevant parameters of vocal folds from high-speed video image series.

Authors: Chao Tao; Yu Zhang; Jack J Jiang
Journal: IEEE Trans Biomed Eng Date: 2007-05 Impact factor: 4.538

8. Autofluorescent diagnostics in laryngeal pathology.

Authors: Nenad Baletic; Zeljko Petrovic; Ivica Pendjer; Hidajet Malicevic
Journal: Eur Arch Otorhinolaryngol Date: 2003-09-25 Impact factor: 2.503

9. Using the patient's questionnaire data to screen laryngeal disorders.

Authors: A Verikas; A Gelzinis; M Bacauskiene; V Uloza; M Kaseta
Journal: Comput Biol Med Date: 2009-01-13 Impact factor: 4.589

10. Indirect fluorescence laryngoscopy in the diagnosis of precancerous and cancerous laryngeal lesions.

Authors: C Arens; D Reussner; J Woenkhaus; A Leunig; C S Betz; H Glanz
Journal: Eur Arch Otorhinolaryngol Date: 2007-02-10 Impact factor: 3.236

7 in total

1. Quantitative analysis of videokymography in normal and pathological vocal folds: a preliminary study.

Authors: Cesare Piazza; Stefano Mangili; Francesca Del Bon; Francesca Gritti; Claudia Manfredi; Piero Nicolai; Giorgio Peretti
Journal: Eur Arch Otorhinolaryngol Date: 2011-09-30 Impact factor: 2.503

Review 2. [Imaging for surgical planning : Tumor surgery including reconstructive procedures].

Authors: F Bootz; S Greschus
Journal: HNO Date: 2017-06 Impact factor: 1.284

Review 3. Advanced computing solutions for analysis of laryngeal disorders.

Authors: H Irem Turkmen; M Elif Karsligil
Journal: Med Biol Eng Comput Date: 2019-09-06 Impact factor: 2.602

Review 4. State of the art laryngeal imaging: research and clinical implications.

Authors: Dimitar D Deliyski; Robert E Hillman
Journal: Curr Opin Otolaryngol Head Neck Surg Date: 2010-06 Impact factor: 2.064

5. Spatial Segmentation for Laryngeal High-Speed Videoendoscopy in Connected Speech.

Authors: Ahmed M Yousef; Dimitar D Deliyski; Stephanie R C Zacharias; Alessandro de Alarcon; Robert F Orlikoff; Maryam Naghibolhosseini
Journal: J Voice Date: 2020-11-27 Impact factor: 2.300

6. Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network.

Authors: Mona Kirstin Fehling; Fabian Grosch; Maria Elke Schuster; Bernhard Schick; Jörg Lohscheller
Journal: PLoS One Date: 2020-02-10 Impact factor: 3.240

7. A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech.

Authors: Ahmed M Yousef; Dimitar D Deliyski; Stephanie R C Zacharias; Alessandro de Alarcon; Robert F Orlikoff; Maryam Naghibolhosseini
Journal: Appl Sci (Basel) Date: 2021-01-27 Impact factor: 2.679

7 in total