Abstract
This paper describes the basis and behavior of segmentation of single figures in 3D by deformable m-reps models. Results are given for the segmentation of kidneys from CT and of hippocampi from MR images. Special focus is made on multi-scale-level stages of segmentation, on intrinsic correspondences under deformation that are provided by m-reps, and on the match against model-relative templates provided by both theoretical edge strength templates and templates derived from training images.
Chapter PDF
Similar content being viewed by others
Keywords
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
Casselles, V, R Kimmel and G Sapiro (1997). Geodesic Active Contours. IJCV 22(1): 61–79.
Cootes, TF, C Beeston, GJ Edwards, CJ Taylor, A Unified Framework for Atlas Matching Using Active Appearance Models. Information Processing in Medical Imaging (IPMI 1999), A Kuba, M Samal, A Todd-Pokropek eds., Springer LNCS 1613: 322–333.
Crouch, JR, SM Pizer, EL Chaney, M Zaider, Elastic registration of prostate images using the finite element method with m-rep models. Poster, 2nd Int. Conf. On Innovative Solutions for Prostate Cancer Care 2001. Also at website http://www.cs.unc.edu/Research/Image/MIDAG/pubs/presentations/prostate-mrep-Crouch2001_files/frame.htm.
Joshi, S, SM Pizer, PT Fletcher, A Thall, G Tracton, Multi-Scale 3-D Deformable Model Segmentation Based on Medical Description. Information Processing in Medical Imaging (IPMI 2001), MF Insana, RM Leahy, eds., Springer LNCS 2082: 64–77.
Kelemen, A, G Szekely and G Gerig (1999). Elastic Model-Based Segmentation of 3D Neuroradiological Data Sets. IEEE Transactions On Medical Imaging 18: 828–839.
Montagnat, J, H Delingette (1998). Globally Constrained Deformable Models for 3D Object Reconstruction. Signal Processing 71: 173–186
Pizer, SM, PT Fletcher, Y Fridman, D Fritsch, AG Gash, J Glotzer, S Joshi, A Thall, G Tracton, P Yushkevich, EL Chaney, Deformable M-Reps for 3D Medical Image Segmentation. Internal report 2001 at website ftp://ftp.cs.unc.edu/pub/users/MIDAG/defmrep3d.final.pdf
Staib, LH, JS Duncan (1996). Model-based Deformable Surface Finding for Medical Images. IEEE Trans. Med. Imaging 15(5): 1–12.
Styner, M, G Gerig, Medical Models Incorporating Object Variability for 3D Shape Analysis. Information Processing in Medical Imaging (IPMI 2001), MF Insana, RM Leahy, eds., Springer LNCS 2082: 502–516.
Fletcher, PT, SM. Pizer, A Thall, P Yushkevich with S Joshi. Medial Geometry and Interpolation through Medial Correspondence. In preparation (2001).
Willis, L, A Geometric Description of Lung Shape During Respiration via M-reps and Normalized Mutual Information. MS thesis 2001, Dept. of Biomedical Engineering, UNC in preparation
Yushkevich, P, SM Pizer, S Joshi, JS Marron, Intuitive, Localized Analysis of Shape Variability. Information Processing in Medical Imaging (IPMI 2001), MF Insana, RM Leahy, eds., Springer LNCS 2082: 402–408.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pizer, S.M., Joshi, S., Fletcher, P.T., Styner, M., Tracton, G., Chen, J.Z. (2001). Segmentation of Single-Figure Objects by Deformable M-reps. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_103
Download citation
DOI: https://doi.org/10.1007/3-540-45468-3_103
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42697-4
Online ISBN: 978-3-540-45468-7
eBook Packages: Springer Book Archive