Robust Retrieval of 3D Structures from Image Stacks

Robust high breakdown point location estimators are employed to analyze image stacks under the piecewise constant image structure model. To reduce the e ect of bias along the Z axis, the class parameters are extracted using three consecutive slices. The segmentation algorithm rst determines the most reliable seed regions which are then used in a region-growing procedure supported by local evidence. The robustness and stability of the proposed technique is shown with both synthetic and real data, the latter consisting of one MRI and one confocal microscopy set. The performance of the algorithm is consistent with the ground truth obtained with manual segmentation by physicians.

[1]  M. Stella Atkins,et al.  Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI , 1996, IEEE Trans. Medical Imaging.

[2]  J. P. Jones,et al.  Foundations of Medical Imaging , 1993 .

[3]  Glynn P. Robinson,et al.  Model-based recognition of anatomical objects from medical images , 1994, Image Vis. Comput..

[4]  R. Kikinis,et al.  Three-dimensional segmentation of MR images of the head using probability and connectivity. , 1990, Journal of computer assisted tomography.

[5]  Zhengrong Liang,et al.  Parameter estimation and tissue segmentation from multispectral MR images , 1994, IEEE Trans. Medical Imaging.

[6]  Guido Gerig,et al.  Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models , 1996, Medical Image Anal..

[7]  W. Eric L. Grimson,et al.  Adaptive Segmentation of MRI Data , 1995, CVRMed.

[8]  Azriel Rosenfeld,et al.  Robust regression methods for computer vision: A review , 1991, International Journal of Computer Vision.

[9]  James M. Ortega,et al.  Model-based boundary estimation of complex objects using hierarchical active surface templates , 1995, Pattern Recognit..

[10]  Guido Gerig,et al.  Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.

[11]  James S. Duncan,et al.  Model-based deformable surface finding for medical images , 1996, IEEE Trans. Medical Imaging.

[12]  Hamid Soltanian-Zadeh,et al.  A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequences , 1992, IEEE Trans. Medical Imaging.

[13]  Max A. Viergever,et al.  Three-dimensional MR brain segmentation , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[14]  Carol J. Cogswell,et al.  Three‐dimensional image formation in confocal microscopy , 1990 .

[15]  Jayaram K. Udupa,et al.  Computer aspects of 3D imaging in Medicine: a tutorial , 1991 .

[16]  Arvid Lundervold,et al.  Multispectral analysis of the brain using magnetic resonance imaging , 1994, IEEE Trans. Medical Imaging.

[17]  Peter Meer,et al.  Robust retrieval of 3D structures from magnetic resonance images , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[18]  Russell M. Mersereau,et al.  Automatic Detection of Brain Contours in MRI Data Sets , 1991, IPMI.

[19]  A.P. Dhawan,et al.  Three-dimensional anatomical model-based segmentation of MR brain images through principal axes registration , 1995, IEEE Transactions on Biomedical Engineering.

[20]  Akshay K. Singh,et al.  Deformable models in medical image analysis , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[21]  José L. Marroquín,et al.  Random measure fields and the integration of visual information , 1992, IEEE Trans. Syst. Man Cybern..

[22]  Milan Sonka,et al.  Knowledge-based interpretation of MR brain images , 1996, IEEE Trans. Medical Imaging.

[23]  S P Raya,et al.  Low-level segmentation of 3-D magnetic resonance brain images-a rule-based system. , 1990, IEEE transactions on medical imaging.

[24]  G. Herman,et al.  Three-dimensional display of human organs from computed tomograms , 1979 .

[25]  D. Kennedy,et al.  Anatomic segmentation and volumetric calculations in nuclear magnetic resonance imaging. , 1989, IEEE transactions on medical imaging.

[26]  O. Franksson,et al.  Software and electronics for a digital three dimensional microscope , 1990 .

[27]  Isabelle Bloch,et al.  Segmenting internal structures in 3D MR images of the brain by Markovian relaxation on a watershed based adjacency graph , 1995, Proceedings., International Conference on Image Processing.

[28]  Nicholas Ayache,et al.  Medical computer vision, virtual reality and robotics , 1995, Image Vis. Comput..

[29]  R A Robb,et al.  Interactive display and analysis of 3-D medical images. , 1989, IEEE transactions on medical imaging.

[30]  Jerry L. Prince,et al.  An active contour model for mapping the cortex , 1995, IEEE Trans. Medical Imaging.

[31]  Howard Wainer,et al.  Robust Regression & Outlier Detection , 1988 .

[32]  Jayaram K. Udupa.  Multidimensional Digital Boundaries , 1994, CVGIP Graph. Model. Image Process..

[33]  Kim L. Boyer,et al.  Hypothesizing structures in edge-focused cerebral magnetic resonance images using graph-theoretic cycle enumeration , 1993 .

[34]  Jean-Michel Jolion,et al.  Robust Clustering with Applications in Computer Vision , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[35]  James V. Rawson.  A Non-Mathematical Approach to Basic MRI , 1990 .

[36]  Bernard Mazoyer,et al.  Three-dimensional segmentation and interpolation of magnetic resonance brain images , 1993, IEEE Trans. Medical Imaging.

[37]  Allen R. Hanson,et al.  Segmenting images using localized histograms and region merging , 1987, International Journal of Computer Vision.

[38]  W. Eric L. Grimson,et al.  Segmentation of brain tissue from magnetic resonance images , 1995, Medical Image Anal..

[39]  Richard M. Leahy,et al.  An Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[40]  U Tiede,et al.  3-D segmentation of MR images of the head for 3-D display. , 1990, IEEE transactions on medical imaging.

[41]  Jzau-Sheng Lin,et al.  The application of competitive Hopfield neural network to medical image segmentation , 1996, IEEE Trans. Medical Imaging.

[42]  Lawrence O. Hall,et al.  Knowledge-based classification and tissue labeling of magnetic resonance images of human brain , 1993, Electronic Imaging.

[43]  Steven W. Zucker,et al.  Inferring Surface Trace and Differential Structure from 3-D Images , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[44]  Jan Cornelis,et al.  Segmentation of medical images , 1993, Image Vis. Comput..

[45]  B. S. Manjunath,et al.  Automated segmentation of brain MR images , 1995, Pattern Recognit..

[46]  Ramesh C. Jain,et al.  An approach to three-dimensional image segmentation , 1991, CVGIP Image Underst..

[47]  W. Eric L. Grimson.  Medical Applications of Image Understanding , 1995, IEEE Expert.

[48]  Andreas Pommert,et al.  Investigation of medical 3D-rendering algorithms , 1990, IEEE Computer Graphics and Applications.