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Scene-Based Segmentation of Multiple Muscles from MRI in MITK

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Bildverarbeitung für die Medizin 2011

Part of the book series: Informatik aktuell ((INFORMAT))

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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.

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References

  1. 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.

    Article  Google Scholar 

  2. 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.

    Article  Google Scholar 

  3. 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.

    Google Scholar 

  4. 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.

    Article  Google Scholar 

  5. 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.

    Google Scholar 

  6. Delingette H. General object reconstruction based on simplex meshes. Int J Computer Vis. 1999 Sep;32(2):111–146.

    Article  Google Scholar 

  7. Gilles B, Moccozet L, Magnenat-Thalmann N. Anatomical modeling of the musculoskeletal system from MRI. Proc MICCAI. 2006; p. 289–296.

    Google Scholar 

  8. Ericson C. Real-Time Collision Detection. Morgan Kaufmann; 2004.

    Google Scholar 

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Correspondence to Yan Geng .

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© 2011 Springer-Verlag Berlin Heidelberg

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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

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