title: Ultrasound image matching using genetic algorithms.
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.
authors.affiliation: Department of Human Biology, University of Cape Town, South Africa. tdouglas@cormack.uct.az.za
authors.forename: T S
authors.initials: TS
authors.lastname: Douglas
authors.forename: S E
authors.initials: SE
authors.lastname: Solomonidis
authors.forename: W A
authors.initials: WA
authors.lastname: Sandham
authors.forename: W D
authors.initials: WD
authors.lastname: Spence
mesh_terms: D000465:Algorithms; D001696:Biomechanical Phenomena; D006801:Humans; D021621:Imaging, Three-Dimensional; D007866:Leg / Q000000981:diagnostic imaging*; D011474:Prosthesis Design; D014463:Ultrasonography