Abstract
Segmentation of multiple muscles in magnetic resonance imaging (MRI) is challenging because of the similar intensities of the tissue. In this paper, a novel approach is presented applying a scene-based discrete deformable model (simplex mesh). 3D segmentation is performed on a set of structures rather than on a single object. Relevant structures are modeled in a two-stage hierarchy from groups of clustered muscles (as they usually appear in MRI) to individual muscles. Collision detection is involved during mesh deformation to provide additional information of neighboring structures. The method is implemented in C++ within the Medical Imaging Interaction Toolkit (MITK) framework. As a proof of concept, we tested the approach on five datasets of the pelvis, three of which have been segmented manually. Indicating the potential impact of the method, we do not claim its general validity yet.
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
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ullrich S, Grottke O, Fried E, et al. An intersubject variable regional anaesthesia simulator with a virtual patient architecture. Int J Comp Ass Radiol Surg. 2009;4(6):561–570.
Grottke O, Ntouba A, Ullrich S, et al. Virtual reality-based simulator for training in regional anaesthesia. Br J Anaesth. 2009;103(4):594–600.
Teich C, Liao W, Ullrich S, et al. MITK-based segmentation of co-registered MRI for subject-related regional anaesthesia simulation. Procs SPIE. 2008;6918:2M1–2M10.
Yushkevich PA, Piven J, Hazlett HC, et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. NeuroImage. 2006;31(3):1116–1128.
Jurcak V, Fripp J, Engstrom C, et al. Automated segmentation of the quadratus lumborum muscle from magnetic resonance images using a hybrid atlas based - geodesic active contour scheme. In: Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE; 2008. p. 867–870.
Delingette H. General object reconstruction based on simplex meshes. Int J Computer Vis. 1999 Sep;32(2):111–146.
Gilles B, Moccozet L, Magnenat-Thalmann N. Anatomical modeling of the musculoskeletal system from MRI. Proc MICCAI. 2006; p. 289–296.
Ericson C. Real-Time Collision Detection. Morgan Kaufmann; 2004.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Geng, Y., Ullrich, S., Grottke, O., Rossaint, R., Kuhlen, T., Deserno, T.M. (2011). Scene-Based Segmentation of Multiple Muscles from MRI in MITK. In: Handels, H., Ehrhardt, J., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2011. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19335-4_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-19335-4_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19334-7
Online ISBN: 978-3-642-19335-4
eBook Packages: Computer Science and Engineering (German Language)