Individualized geometric model from unorganized 3-D points: An application to thorax modeling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2878, Issue , 2003, Pages 91-98

  Koikkalainen, Juha ^a   Lötjönen, Jyrki ^b  

^a AALTO UNIVERSITY   (Finland)

^b VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GRAPHICS; DATA ACQUISITION; ELECTROCARDIOGRAPHY; FINITE ELEMENT METHOD; IMAGE SEGMENTATION; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

ANATOMICAL VOLUME DATA; FREE-FORM DEFORMATIONS (FFD); GEOMETRIC MODEL; THORAX MODELING;

BIOMEDICAL ENGINEERING;

EID: 0345686604     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39899-8_12     Document Type: Article

References (13)

1. E. Bardinet, L.D. Cohen, N. Ayache. A Parametric Deformable Model to Fit Unstructured 3D Data. Computer Vision and Image Understanding, vol. 71(1): 39-54, 1998.
2. J. Lötjönen, I.E. Magnin, J. Nenonen, T. Katila. Reconstruction of 3-D Geometry Using 2-D Profiles and a Geometric Prior Model. IEEE Trans. Med. Imaging, vol.18(10): 992-1002, 1999.
3. M. Fleute, S. Lavallée. Nonrigid 3-D/2-D Registration of Images Using Statistical Models. Proc. MICCAI'99: 138-147, 1999.
4. D. van't Ent, J.C. de Munck, A.L. Kaas. A Fast Method to Derive Realistic BEM Models for E/MEG Source Reconstruction. IEEE Trans. Biomed. Eng., vol. 48(12): 1434-1443, 2001.
5. R. Poli, G. Coppini, G. Valu. Recovery of 3D Closed Surfaces from Sparse Data. CVGIP: Image Understanding, vol.60(1): 1-25, 1994.
6. K. Pesola, J. Lötjönen, J. Nenonen, I.E. Magnin, K. Lauerma, R. Fenici, T. Katila. The Effect of Geometric and Topologic Differences in Boundary Element Models on Magnetocardiographic Localization Accuracy. IEEE Trans. Biomed. Eng., vol. 47(9): 1237-1247, 2000.
7. W.E.L. Grimson, G.J. Ettinger, S.J. White, T. Lozano-Perez, W.M. Wells III, R. Kikinis. An Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery, and Enhanced Reality Visualization. IEEE Trans. Med. Imaging, vol. 15(2): 129-140, 1996.
8. C.R. Maurer Jr., G.B. Aboutanos, B.M. Dawant, R.J. Maciunas, J.M. Fitzpatrick. Registration of 3-D Images Using Weighted Geometrical Features. IEEE Trans. Med. Imaging, vol. 15(6): 836-849, 1996.
9. T. Mäkelä, P. Clarysse, J. Lötjönen, O. Sipilä, K. Lauerma, H. Hänninen, E-P. Pyökkimies, J. Nenonen, J. Knuutti, T. Katila, I.E. Magnin. A new method for the registration of cardiac PET and MR images using deformable model based segmentation of the main thorax structures. Proc. MICCAI'01: 557-564, 2001.
10. J. Lötjönen, P-J. Reissman, I.E. Magnin, T. Katila. Model extraction from magnetic resonance volume data using the deformable pyramid. Med. Image Anal., vol. 3(4): 387-406, 1999.
11. D. Rueckert, A.F. Frangi, J.A. Schnabel. Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration. Proc. MICCAI'01: 77-84, 2001.
12. J. Koikkalainen, J. Lötjönen. Model Library for Deformable Model-Based Segmentation of 3-D Brain Images. Proc. MICCAI'02: 540-547, 2002.
13. T.F. Cootes, C.J. Taylor, D.H. Cooper, J. Graham. Active Shape Models - their training and application. Computer Vision and Image Understanding, vol. 61(1): 38-59, 1995.