H-scan analysis of thyroid lesions

Gary R. Ge; Rosa Laimes; Joseph Pinto; Jorge Guerrero; Himelda Chavez; Claudia Salazar; Roberto J. Lavarello; Kevin J. Parker

doi:10.1117/1.JMI.5.1.013505

7 February 2018 H-scan analysis of thyroid lesions

Gary R. Ge, Rosa Laimes, Joseph Pinto, Jorge Guerrero, Himelda Chavez, Claudia Salazar, Roberto J. Lavarello, Kevin J. Parker

Author Affiliations +

Funded by: Hajim School of Engineering and Applied Sciences, Pontificia Universidad Católica del Perú, Peruvian Government CONCYTEC

Journal of Medical Imaging, Vol. 5, Issue 1, 013505 (February 2018). https://doi.org/10.1117/1.JMI.5.1.013505

Abstract

The H-scan analysis of ultrasound images is a matched-filter approach derived from analysis of scattering from incident pulses in the form of Gaussian-weighted Hermite polynomial functions. This framework is applied in a preliminary study of thyroid lesions to examine the H-scan outputs for three categories: normal thyroid, benign lesions, and cancerous lesions within a total group size of 46 patients. In addition, phantoms comprised of spherical scatterers are analyzed to establish independent reference values for comparison. The results demonstrate a small but significant difference in some measures of the H-scan channel outputs between the different groups.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Gary R. Ge, Rosa Laimes, Joseph Pinto, Jorge Guerrero, Himelda Chavez, Claudia Salazar, Roberto J. Lavarello, and Kevin J. Parker "H-scan analysis of thyroid lesions," Journal of Medical Imaging 5(1), 013505 (7 February 2018). https://doi.org/10.1117/1.JMI.5.1.013505

Received: 28 September 2017; Accepted: 12 January 2018; Published: 7 February 2018

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Cited by 13 scholarly publications.

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KEYWORDS

Statistical analysis

Ultrasonography

Signal attenuation

Scattering

Cancer

RGB color model

Biopsy

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