Abstract
Ultrasound (US) image guidance in orthopaedic surgery is emerging as a viable non-invasive alternative to the currently dominant radiation-based modalities. Though it offers many advantages including reduced imaging costs and safer operation, the relatively low US image quality complicates data processing and visualization. We propose a novel approach for robust bone localization that integrates multiple US image features including local phase information, local signal attenuation, and bone shadowing to robustly segment bone surfaces. We demonstrate the advantages of our approach in different contexts including improved segmentation quality, increased registration accuracy, and decreased sensitivity to parameter setting. We present quantitative and qualitative validation on a bovine femur phantom and on real-life clinical pelvis US data from 18 trauma patients using computed tomography (CT) image sets as ground truth.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ungi, T., Moult, E., Schwab, J.H., Fichtinger, G.: Tracked ultrasound snapshots in percutaneous pedicle screw placement navigation: a feasibility study. Clin. Orthop. Relat. Res. 471(12), 4047–4055 (2013)
Amin, D.V., Kanade, T., Digioia, A.M., Jaramaz, B.: Ultrasound registration of the bone surface for surgical navigation. J. Comput. Aided Surg. 8(1), 1–16 (2003)
Tonetti, J., Carrat, L., Blendea, S.: Clinical results of percutaneous pelvic surgery: computer assisted surgery using ultrasound compared to standard fluoroscopy. J. Comput. Aided Surg. 6(4), 204–211 (2001)
Cheung, C.W., Law, S.Y., Zheng, Y.P.: Development of 3D ultrasound system for assessment of adolescent idiopathic scoliosis (AIS): and system validation. In: Proceedings IEEE Conference on Engineering Medical Biology Society (2013)
Hacihaliloglu, I., Rasoulian, A., Rohling, R.N., Abolmaesumi, P.: Statistical shape model to 3D ultrasound registration for spine interventions using enhanced local phase features. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part II. LNCS, vol. 8150, pp. 361–368. Springer, Heidelberg (2013)
Hacihaliloglu, I., Abugharbieh, R., Hodgson, A.J., Rohling, R.: Bone segmentation and fracture detection in ultrasound using 3D local phase features. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 287–295. Springer, Heidelberg (2008)
Hacihaliloglu, I., Guy, P., Hodgson A., Abugharbieh, R.: Volume-specific parameter optimization of 3D local phase features for improved extraction of bone surfaces in ultrasound images. Int. J. Med. Robot. Comput. Assist. Surg. (2013)
Foroughi, P., Boctor, E., Swatrz, M.J., Taylor, R.H., Fichtinger, G.: Ultrasound bone segmentation using dynamic programming. In: IEEE Ultrasonics Symposium, pp. 2523–2526 (2007)
Kowal, J., Amstutz, C., Langlotz, F., TAlib, H., Ballester, M.G.: Automated bone contour detection in ultrasound B-mode images for minimally invasive registration in computer assisted surgery an in vitro evaluation. Int. J. Med. Robot. Comput. Assist. Surg. 3, 341–348 (2007)
Fanti, Z., Torres, F., Cosío, F.A.: Preliminary results in large bone segmentation from 3D freehand ultrasound. In: International Seminar on Medical Information Processing and Analysis (2013)
Karamalis, A., Wein, W., Klein, T., Navab, N.: Ultrasound confidence maps using random walks. Med. Image Anal. 16, 1101–1112 (2012)
Grady, L.: Random walks for image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 28, 1768–1783 (2006)
Hacihaliloglu, I., Brounstein, A., Guy, P., Hodgson, A., Abugharbieh, R.: 3D ultrasound-CT registration in orthopaedic trauma using GMM registration with optimized particle simulation-based data reduction. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part II. LNCS, vol. 7511, pp. 82–89. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Quader, N., Hodgson, A., Abugharbieh, R. (2014). Confidence Weighted Local Phase Features for Robust Bone Surface Segmentation in Ultrasound. In: Linguraru, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2014. Lecture Notes in Computer Science(), vol 8680. Springer, Cham. https://doi.org/10.1007/978-3-319-13909-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-13909-8_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13908-1
Online ISBN: 978-3-319-13909-8
eBook Packages: Computer ScienceComputer Science (R0)