Abstract
We present a new model-based approach for an automated labeling and segmentation of the rib cage in chest CT scans. A mean rib cage model including a complete vertebral column is created out of 29 data sets. We developed a ray search based procedure for rib cage detection and initial model pose. After positioning the model, it was adapted to 18 unseen CT data. In 16 out of 18 data sets, detection, labeling, and segmentation succeeded with a mean segmentation error of less than 1.3 mm between true and detected object surface. In one case the rib cage detection failed, in another case the automated labeling.
Chapter PDF
Similar content being viewed by others
Keywords
- Vertebral Column
- Compute Tomography Data
- Iterative Close Point
- Chest Compute Tomography Scan
- Automate Label
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Shen, H., Liang, L., Shao, M., Qing, S.: Tracing Based Segmentation for the Labeling of Individual Rib Structures in Chest CT Volume Data. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 967–974. Springer, Heidelberg (2004)
Staal, J., van Ginneken, B., Viergever, M.A.: Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data. Medical Image Analysis 11, 35–46 (2006)
Lorenz, C., von Berg, J.: A comprehensive shape model of the heart. Medical Image Analysis 10, 657–670 (2006)
Weese, J., Kaus, M., Lorenz, C., Lobregt, S., Truyen, R., Pekar, V.: Shape constrained deformable models for 3d medical image segmentation. In: Insana, M.F., Leahy, R.M. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 380–387. Springer, Heidelberg (2001)
Fitzgibbon, A.W., Pilu, M., Fisher, R.B.: Direct Least Squares Fitting of Ellipses. IEEE Transaction on Pattern Anaylysis and Machine Intelligence 21(5), 476–480 (1996)
Lorenz, C., von Berg, J.: Fast automated object detection by recursive casting search rays. Computer Assisted Radiology and Surgery, 230–235 (2005)
Besl, P.J.: A Method For Registration of 3-D Shapes. IEEE Transaction on Pattern Analysis and Machine Intelligence 14(2), 239–256 (1992)
Donato, G., Belongie, S.: Approximate Thin Plate Spline Mappings. Computer Vision - ECCV 2325(3), 21–31 (2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Klinder, T., Lorenz, C., von Berg, J., Dries, S.P.M., Bülow, T., Ostermann, J. (2007). Automated Model-Based Rib Cage Segmentation and Labeling in CT Images. In: Ayache, N., Ourselin, S., Maeder, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007. MICCAI 2007. Lecture Notes in Computer Science, vol 4792. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75759-7_24
Download citation
DOI: https://doi.org/10.1007/978-3-540-75759-7_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75758-0
Online ISBN: 978-3-540-75759-7
eBook Packages: Computer ScienceComputer Science (R0)