A regularization approach for ultrasonic attenuation imaging

Andres Coila, Julien Rouyer, Omar Zenteno, Roberto Lavarello

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

8 Citas (Scopus)

Resumen

The quantitative estimation of the attenuation coefficient slope (ACS) has the potential to differentiate between healthy and pathological tissues. However, attempts to characterize ACS maps using pulse-echo data using methods such as the spectral log difference (SLD) technique have been limited by the large variability of the estimates. In the present work, ACSs were estimated using a regularized SLD technique. The performance of the proposed approach was experimentally evaluated using two physical phantoms: a homogeneous phantom, and a phantom with a cylindrical inclusion. The results obtained with the SLD and regularized SLD techniques were compared to the ACS values obtained with through-transmission techniques. In the homogeneous phantom, the use of regularization allowed reducing the standard deviation by more than 90% while keeping the estimation bias around 2%. For the inhomogenenous phantom, a trade-off between contrast-to-noise ratio (CNR) and estimation bias was observed. However, the use of regularization allowed nearly doubling the CNR from 0.54 to 0.97-1.29 when compared to the standard SLD, while achieving an estimation bias between 10% and 20%. The results suggest that the use of regularization methods can effectively reduce the variability of ACS estimation.

Idioma originalInglés
Título de la publicación alojada2016 IEEE International Symposium on Biomedical Imaging
Subtítulo de la publicación alojadaFrom Nano to Macro, ISBI 2016 - Proceedings
EditorialIEEE Computer Society
Páginas469-472
Número de páginas4
ISBN (versión digital)9781479923502
DOI
EstadoPublicada - 15 jun. 2016
Evento2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, República Checa
Duración: 13 abr. 201616 abr. 2016

Serie de la publicación

NombreProceedings - International Symposium on Biomedical Imaging
Volumen2016-June
ISSN (versión impresa)1945-7928
ISSN (versión digital)1945-8452

Conferencia

Conferencia2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
País/TerritorioRepública Checa
CiudadPrague
Período13/04/1616/04/16

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