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Proceedings Paper

Tendon strain imaging using non-rigid image registration: a validation study
Author(s): Nuno M. Almeida; Pieter Slagmolen; Daniel Barbosa; Lennart Scheys; Leonie Geukens; Shingo Fukagawa; Koen Peers; Johan Bellemans; Paul Suetens; Jan D'Hooge
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Paper Abstract

Ultrasound image has already been proved to be a useful tool for non-invasive strain quantifications in soft tissue. While clinical applications only include cardiac imaging, the development of techniques suitable for musculoskeletal system is an active area of research. On this study, a technique for speckle tracking on ultrasound images using non-rigid image registration is presented. This approach is based on a single 2D+t registration procedure, in which the temporal changes on the B-mode speckle patterns are locally assessed. This allows estimating strain from ultrasound image sequences of tissues under deformation while imposing temporal smoothness in the deformation field, originating smooth strain curves. METHODS: The tracking algorithm was systematically tested on synthetic images and gelatin phantoms, under sinusoidal deformations with amplitudes between 0.5% and 4.0%, at frequencies between 0.25Hz and 2.0Hz. Preliminary tests were also performed on Achilles tendons isolated from human cadavers. RESULTS: The strain was estimated with deviations of -0.011%±0.053% on the synthetic images and agreements of ±0.28% on the phantoms. Some tests with real tendons show good tracking results. However, significant variability between the trials still exists. CONCLUSIONS: The proposed image registration methodology constitutes a robust tool for motion and deformation tracking in both simulated and real phantom data. Strain estimation in both cases reveals that the proposed method is accurate and provides good precision. Although the ex-vivo results are still preliminary, the potential of the proposed algorithm is promising. This suggests that further improvements, together with systematic testing, can lead to in-vivo and clinical applications.

Paper Details

Date Published: 24 February 2012
PDF: 10 pages
Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 832010 (24 February 2012); doi: 10.1117/12.911401
Show Author Affiliations
Nuno M. Almeida, Katholieke Univ. Leuven (Belgium)
Pieter Slagmolen, Katholieke Univ. Leuven (Belgium)
Daniel Barbosa, Katholieke Univ. Leuven (Belgium)
Lennart Scheys, Smith & Nephew European Ctr. for Knee Research (Belgium)
Leonie Geukens, Katholieke Univ. Leuven (Belgium)
Shingo Fukagawa, Univ. Hospitals Leuven (Belgium)
Koen Peers, Katholieke Univ. Leuven (Belgium)
Johan Bellemans, Univ. Hospitals Leuven (Belgium)
Paul Suetens, Katholieke Univ. Leuven (Belgium)
Jan D'Hooge, Katholieke Univ. Leuven (Belgium)

Published in SPIE Proceedings Vol. 8320:
Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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