Skip to main content

Multi-slice ultrasound image calibration of an intelligent skin-marker for soft tissue artefact compensation

5Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, a novel multi-slice ultrasound (US) image calibration of an intelligent skin-marker used for soft tissue artefact compensation is proposed to align and orient image slices in an exact H-shaped pattern. Multi-slice calibration is complex, however, in the proposed method, a phantom based visual alignment followed by transform parameters estimation greatly reduces the complexity and provides sufficient accuracy. In this approach, the Hough Transform (HT) is used to further enhance the image features which originate from the image feature enhancing elements integrated into the physical phantom model, thus reducing feature detection uncertainty. In this framework, slice by slice image alignment and calibration are carried out and this provides manual ease and convenience.

Cite

CITATION STYLE

APA

Masum, M. A., Pickering, M. R., Lambert, A. J., Scarvell, J. M., & Smith, P. N. (2017). Multi-slice ultrasound image calibration of an intelligent skin-marker for soft tissue artefact compensation. Journal of Biomechanics, 62, 165–171. https://doi.org/10.1016/j.jbiomech.2016.12.030

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free