Characterization of Direct Localization Algorithms for Ultrasound Super-Resolution Imaging in a Multibubble Environment: A Numerical and Experimental Study

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dc.catalogadorpau
dc.contributor.authorXavier, Aline
dc.contributor.authorAlarcon, Hector
dc.contributor.authorEspindola, David
dc.date.accessioned2024-07-18T21:15:39Z
dc.date.available2024-07-18T21:15:39Z
dc.date.issued2022
dc.description.abstractLocalization plays a significant role in the production of ultrasound localization microscopy images. For instance, detecting more microbubbles reduces the time of acquisition, while localizing them more accurately improves the resolution of the images. Previous approaches to compare the multiple localization algorithms rely on numerical simulation of a single steady microbubble, with or without modeling its nonlinear response. In real-life situations, vessels have a nonconstant velocity profile, which creates relative movement, producing dynamically overlapped microbubbles even at low concentrations. These complexities deteriorate the behavior of the localization algorithms. To incorporate these effects on the characterization of the localization methods, we designed a virtual medium containing four microtubes of different inner diameters, where single-pixel microbubbles were allowed to flow within each microtube with a parabolic velocity profile. A finite difference method was used to simulate the propagation of ultrasound waves to obtain B-mode images that fed four direct microbubbles localization algorithms (i.e., weighted centroid, 2D-spline interpolation, parabolic fitting, and onset detection). The performance of these methods was quantified using the number of microbubbles detected, the microbubbles distribution, the full width at half maximum, the maximum velocity, and the computational time as metrics. Our simulation results suggest that 2D-spline and paraboloid fitting were the best methods, detecting 100% of the microbubbles with an error in their distribution of 249 and 244 microbubbles, respectively. Both methods with a computational time cost of 18% and 7% lower than weighted centroid, respectively. We also present an experimental comparison of these localization methods, finding results similar to the numerical ones.
dc.fechaingreso.objetodigital2024-07-18
dc.format.extent9 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1109/ACCESS.2022.3173308
dc.identifier.issn2169-3536
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2022.3173308
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/87138
dc.identifier.wosidWOS:000795575100001
dc.information.autorucEscuela de Ingeniería; Xavier, Aline; S/I; 1030565
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.final49999
dc.pagina.inicio49991
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.rightsacceso abierto
dc.rights.licenseCC BY 4.0 ATTRIBUTION 4.0 INTERNATIONAL
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectLocation awareness
dc.subjectUltrasonic imaging
dc.subjectSuperresolution
dc.subjectNumerical models
dc.subjectStandards
dc.subjectSplines (mathematics)
dc.subjectRadio frequency
dc.subjectFullWave simulations
dc.subjectLocalization algorithms
dc.subjectMicrovessel imaging
dc.subjectUltrasound localization microscopy
dc.subjectUltrasound super-resolution
dc.titleCharacterization of Direct Localization Algorithms for Ultrasound Super-Resolution Imaging in a Multibubble Environment: A Numerical and Experimental Study
dc.typeartículo
dc.volumen10
sipa.codpersvinculados1030565
sipa.trazabilidadWOS;2022-07-08
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