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Proceedings Paper

Synthetic aperture imaging in ultrasound calibration
Author(s): Golafsoun Ameri; John S. H. Baxter; A. Jonathan McLeod; Uditha L. Jayaranthe; Elvis C. S. Chen; Terry M. Peters
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Paper Abstract

Ultrasound calibration allows for ultrasound images to be incorporated into a variety of interventional applica­ tions. Traditional Z- bar calibration procedures rely on wired phantoms with an a priori known geometry. The line fiducials produce small, localized echoes which are then segmented from an array of ultrasound images from different tracked probe positions. In conventional B-mode ultrasound, the wires at greater depths appear blurred and are difficult to segment accurately, limiting the accuracy of ultrasound calibration. This paper presents a novel ultrasound calibration procedure that takes advantage of synthetic aperture imaging to reconstruct high resolution ultrasound images at arbitrary depths. In these images, line fiducials are much more readily and accu­ rately segmented, leading to decreased calibration error. The proposed calibration technique is compared to one based on B-mode ultrasound. The fiducial localization error was improved from 0.21mm in conventional B-mode images to 0.15mm in synthetic aperture images corresponding to an improvement of 29%. This resulted in an overall reduction of calibration error from a target registration error of 2.00mm to 1.78mm, an improvement of 11%. Synthetic aperture images display greatly improved segmentation capabilities due to their improved resolution and interpretability resulting in improved calibration.

Paper Details

Date Published: 12 March 2014
PDF: 6 pages
Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 90361I (12 March 2014); doi: 10.1117/12.2043899
Show Author Affiliations
Golafsoun Ameri, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
John S. H. Baxter, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
A. Jonathan McLeod, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Uditha L. Jayaranthe, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Elvis C. S. Chen, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Terry M. Peters, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 9036:
Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
Ziv R. Yaniv; David R. Holmes, Editor(s)

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