Total Nuclear Variation Spectral Log Difference for Ultrasonic Attenuation Images

Edmundo A. Miranda, Adrian Basarab, Roberto Lavarello

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

Resumen

Quantitative Ultrasound (QUS) is a non-invasive imaging modality that characterizes tissues numerically. A well-known QUS parameter is the attenuation coefficient slope (ACS). A previous work proposed a regularized spectral log difference method (RSLD) to estimate the ACS, yet the ACS and the backscatter component were computed as independent parameters using a single channel total variation with no joint prior exploited. This work proposes a joint reconstruction method named the Total Nuclear Variation SLD (TNV-SLD). It couples geometrical information of the ACS and the backscatter component to enhance the quality of the images, measured by the mean percentage error (MPE) and contrast-to-noise ratio (CNR). Metrics are compared to the RSLD with data from a simulated and a physical phantom. Initial results show that TNV-SLD can provide comparable CNR values than RSLD but with lower MPE values. In the simulation, RSLD achieved a MPE of 25.4% (inclusion) and 8.1% (background), while TNV-SLD obtained MPE of 15.9% (inclusion) and 2.8% (background). In the real phantom, RSLD achieved a MPE of 37.7% (inclusion) and 1.9% (background), while TNV-SLD obtained MPE of 22.5% (inclusion) and 1.8% (background). Furthermore, TNV-SLD was more robust in terms of the regularization parameter μ, maintaining a more s table MPE and a higher CNR than RSLD for a broader range of μ values, thus surpassing the risk of over-regularizing the images.

Idioma originalInglés
Título de la publicación alojada2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023
EditorialIEEE Computer Society
ISBN (versión digital)9781665473583
DOI
EstadoPublicada - 2023
Evento20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 - Cartagena, Colombia
Duración: 18 abr. 202321 abr. 2023

Serie de la publicación

NombreProceedings - International Symposium on Biomedical Imaging
Volumen2023-April
ISSN (versión impresa)1945-7928
ISSN (versión digital)1945-8452

Conferencia

Conferencia20th IEEE International Symposium on Biomedical Imaging, ISBI 2023
País/TerritorioColombia
CiudadCartagena
Período18/04/2321/04/23

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