H-scan ultrasound imaging for the classification of thyroid tumors

Mawia Khairalseed, Rosa Laimes, Joseph Pinto, Jorge Guerrero, Himelda Chavez, Claudia Salazar, Gary R. Ge, Roberto J. Lavarello, Kenneth Hoyt

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)


H-scan ultrasound (US) imaging is a high-resolution soft tissue characterization technique. It is a matched filter approach derived from analysis of scattering from incident pulses in the general form of nth-order Gaussian-weighted Hermite polynomial functions (GHn). The purpose of this study was to evaluate the potential of H-scan US imaging to distinguish scatterer distributions of biopsy-confirmed human benign and malignant thyroid lesions (N = 16 per group). Image data was acquired using a Sonix Touch US system (Analogic Ultrasound) equipped with an L14-5 linear array transducer. To generate H-scan US images, three convolution filters (i.e., GHn, n = 2,4, and 8) were applied in parallel to the radiofrequency (RF) data sequences to measure the relative strength of the backscattered US signals. To examine any spatial differences in H-scan US image intensity, textural features like contrast, energy, homogeneity, etc., were extracted from same-sized region-of-interests (ROIs) confined to each individual tumor. Experimental results verified the utility of H-scan US imaging of human thyroid tumors. Results from texture analysis of the H-scan US images indicated that there were statistically significant differences between benign and malignant tumor types for select features (p < 0.03).

Idioma originalInglés
Título de la publicación alojadaIUS 2022 - IEEE International Ultrasonics Symposium
EditorialIEEE Computer Society
ISBN (versión digital)9781665466578
EstadoPublicada - 2022
Evento2022 IEEE International Ultrasonics Symposium, IUS 2022 - Venice, Italia
Duración: 10 oct. 202213 oct. 2022

Serie de la publicación

NombreIEEE International Ultrasonics Symposium, IUS
ISSN (versión impresa)1948-5719
ISSN (versión digital)1948-5727


Conferencia2022 IEEE International Ultrasonics Symposium, IUS 2022


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