Reverse Time Migration and Genetic Algorithms combined for reconstruction in transluminal shear wave elastography: An in silico case study
Metadata
Show full item recordEditorial
Elsevier
Materia
Image reconstruction Transluminal elastography Transurethral elastography
Date
2024Referencia bibliográfica
Ultrasonics 138 (2024) 107206 [10.1016/j.ultras.2023.107206]
Sponsorship
Talentia scholarship C2012H- 75146405T-1 from the regional government of Andalusia; Ministry of Science and Innovation, grants PID2020-115372RB-I00 and PDC2021- 120945-I00; Regional government of Andalusia, grants B-TEP-026-UGR18 and P18-RT-1653; University of Granada PPJIA2022-22Abstract
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.