Abstract
In this paper, we explore the feasibility of 3D ultrasound (US) reconstruction of the liver in the presence of respiratory motion using a minimally cumbersome acquisition protocol involving a commonly available tracked 2D+t wobbler US probe. We exploit measurements of the probe’s displacement against the skin to coarsely assign frames to their corresponding respiratory states. These assignments are refined using a graph representation of the spatial adjacency relationships and appearance continuity between the frames. Finally, frames providing the smallest motion variation, within a respiratory state, are first selected using a shortest path strategy, then passed to the reconstruction algorithm. Our method is fully based on tracked US imaging and does not require a pre-operative reference image. Moreover, no breath-control effort is required on the part of the patient, thereby limiting the complexity of the acquisition protocol. We tested our approach with an intercostal acquisition protocol, demonstrating enhancements in stability and the quality of liver reconstruction at different respiratory states, compared to a naive gating approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
Using the Anticosti system for investigation purposes only.
References
Atkinson, D., Burcher, M., Declerck, J., Noble, J.: Respiratory motion compensation for 3-D freehand echocardiography. Ultrasound Med. Biol. 27(12), 1615–1620 (2001)
Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput. 15(6), 1373–1396 (2003)
Harris, E.J., Miller, N.R., Bamber, J.C., Evans, P.M., Symonds-Tayler, J.R.N.: Performance of ultrasound based measurement of 3D displacement using a curvilinear probe for organ motion tracking. Phys. Med. Biol. 52(18), 5683 (2007)
Koshani, R., Balter, J.M., Hayman, J.A., Henning, G.T., van Herk, M.: Short-term and long-term reproducibility of lung tumor position using active breathing control (ABC). Int. J. Radiat. Oncol. 65(5), 1553–1559 (2006)
Lachaine, M., Falco, T.: Intrafractional prostate motion management with the clarity autoscan system. Med. Phys. Int. 1(1), 72–80 (2013)
Langen, K., Pouliot, J., Anezinos, C., Aubin, M., Gottschalk, A., Hsu, I.C., Lowther, D., Liu, Y.M., Shinohara, K., Verhey, L., Weinberg, V., Roach III, M.: Evaluation of ultrasound-based prostate localization for image-guided radiotherapy. Int. J. Radiat. Oncol. 57(3), 635–644 (2003)
Nakamoto, M., Hirayama, H., Sato, Y., Konishi, K., Kakeji, Y., Hashizume, M., Tamura, S.: Recovery of respiratory motion and deformation of the liver using laparoscopic freehand 3D ultrasound system. Med. Image Anal. 11(5), 429–442 (2007)
Preiswerk, F., De Luca, V., Arnold, P., Celicanin, Z., Petrusca, L., Tanner, C., Bieri, O., Salomir, R., Cattin, P.C.: Model-guided respiratory organ motion prediction of the liver from 2D ultrasound. Med. Image Anal. 18(5), 740–751 (2014)
Scheipers, U., Koptenko, S., Remlinger, R., Falco, T., Lachaine, M.: 3-D ultrasound volume reconstruction using the direct frame interpolation method. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 57(11), 2460–2470 (2010)
Sedgewick, R.: Algorithms in C, Part 5: Graph Algorithms. Addison-Wesley, Boston (2002)
von Siebenthal, M., Székely, G., Gamper, U., Boesiger, P., Lomax, A., Cattin, P.: 4D MR imaging of respiratory organ motion and its variability. Phys. Med. Biol. 52(6), 1547 (2007)
Wachinger, C., Yigitsoy, M., Navab, N.: Manifold learning for image-based breathing gating with application to 4D ultrasound. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. Lecture Notes in Computer Science, vol. 6362, pp. 26–33. Springer, Heidelberg (2010)
Wein, W., Cheng, J.Z., Khamene, A.: Ultrasound based respiratory motion compensation in the abdomen. In: MICCAI Worshop on Image Guidance and Computer Assistance for Soft-tissue Interventions (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Gueziri, HE., Tremblay, S., Laporte, C., Brooks, R. (2017). Graph-Based 3D-Ultrasound Reconstruction of the Liver in the Presence of Respiratory Motion. In: Zuluaga, M., Bhatia, K., Kainz, B., Moghari, M., Pace, D. (eds) Reconstruction, Segmentation, and Analysis of Medical Images. RAMBO HVSMR 2016 2016. Lecture Notes in Computer Science(), vol 10129. Springer, Cham. https://doi.org/10.1007/978-3-319-52280-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-52280-7_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52279-1
Online ISBN: 978-3-319-52280-7
eBook Packages: Computer ScienceComputer Science (R0)