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Updated: Jun 29, 2026

Ultrasonic Assessment of Myocardial Microstructure
Published on: January 14, 2014
Ultrasound image matching using genetic algorithms
T S Douglas1, S E Solomonidis, W A Sandham
1Department of Human Biology, University of Cape Town, South Africa. tdouglas@cormack.uct.az.za
Abstract:
Image compounding reduces the artifacts inherent in ultrasound imaging, but accurate matching of images for compounding depends on their accurate placement in the compound image plane. A method is presented to reduce displacement errors during compounding of ultrasound B-scans of a normal human shank. A genetic algorithm was used to place matching B-scans in the compound image. The method was tested on a phantom and was shown to reduce, but not eliminate, mismatches due to the displacement of B-scans from their original position in the compound image plane. The results can be extended to applications in lower-limb prosthetics, where ultrasound imaging can be used to visualise the internal geometry of amputees' residual limbs.
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