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Reverse time migration and genetic algorithms Combined for Reconstruction in Transluminal Shear Wave Elastography: An In Silico Case Study.
Gomez, Antonio; Rus, Guillermo; Saffari, Nader.
Afiliación
  • Gomez A; UCL Mechanical Engineering, University College London, Roberts Engineering Building, Torrington Place, London, WC1E 7JE, United Kingdom; ibs.GRANADA, Instituto de Investigación Biosanitaria, Avenida de Madrid 15, Granada, 18012, Spain. Electronic address: aj.gomez@ucl.ac.uk.
  • Rus G; Department of Structural Mechanics, University of Granada, Edificio Politécnico, Campus de Fuentenueva, Granada, 18071, Spain; ibs.GRANADA, Instituto de Investigación Biosanitaria, Avenida de Madrid 15, Granada, 18012, Spain; Excellence Research Unit "Modeling Nature", University of Granada, Campus de Fuentenueva, Granada, 18071, Spain.
  • Saffari N; UCL Mechanical Engineering, University College London, Roberts Engineering Building, Torrington Place, London, WC1E 7JE, United Kingdom.
Ultrasonics ; 138: 107206, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38008004
A new reconstruction approach that combines Reverse Time Migration (RTM) and Genetic Algorithms (GAs) is proposed for solving the inverse problem associated with transluminal shear wave elastography. The transurethral identification of the first thermal lesion generated by transrectal High Intensity Focused Ultrasound (HIFU) for the treatment of prostate cancer, was used to preliminarily test in silico the combined reconstruction method. The RTM method was optimised by comparing reconstruction images from several cross-correlation techniques, including a new proposed one, and different device configurations in terms of the number and arrangement of emitters and receivers of the conceptual transurethral probe. The best results were obtained for the new proposed cross-correlation method and a device configuration with 3 emitters and 32 receivers. The RTM reconstructions did not completely contour the shape of the HIFU lesion, however, as planned for the combined approach, the areas in the RTM images with high level of correlation were used to narrow down the search space in the GA-based technique. The GA-based technique was set to find the location of the HIFU lesion and the increment in stiffness and viscosity due to thermal damage. Overall, the combined approach achieves lower level of error in the reconstructed values, and in a shorter computational time, compared to the GA-based technique alone. The lowest errors were accomplished for the location of HIFU lesion, followed by the contrast ratio of stiffness between thermally treated tissue and non-treated normal tissue. The homologous ratio of viscosity obtained higher level of error. Further investigation considering diverse scenarios to be reconstructed and with experimental data is required to fully evaluate the feasibility of the combined approach.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diagnóstico por Imagen de Elasticidad / Ultrasonido Enfocado de Alta Intensidad de Ablación Límite: Humans / Male Idioma: En Revista: Ultrasonics Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diagnóstico por Imagen de Elasticidad / Ultrasonido Enfocado de Alta Intensidad de Ablación Límite: Humans / Male Idioma: En Revista: Ultrasonics Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos