3D shape reasoning for identifying anatomical landmarks

Computer-Aided Design and Applications

Volumn 5, Issue 1-4, 2008, Pages 153-160

  Subburaj, K ^a   Ravi, B ^a   Agarwal, M G ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b TATA MEMORIAL HOSPITAL   (India)

Author keywords

Anatomical landmarks; Curvature and its derivatives; Pre operative planning

Indexed keywords

3-D SHAPE; 3D MODELS; ANATOMICAL LANDMARKS; AUTOMATIC IDENTIFICATION; CT IMAGE; ORTHOPAEDIC SURGERY; PRE-OPERATIVE PLANNING; SET OF RULES; SKELETAL TISSUES; VOLUME DATA;

AUTOMATION; COMPUTERIZED TOMOGRAPHY; ELECTRONIC DATA INTERCHANGE;

THREE DIMENSIONAL;

EID: 70349367045     PISSN: 16864360     EISSN: None     Source Type: Journal    
DOI: 10.3722/cadaps.2008.153-160     Document Type: Article

References (15)

1. Agam, G.; Tang, X.: A Sampling Framework for Accurate Curvature Estimation in Discrete Surfaces, IEEE Transactions on Visualisation and Computer Graphics, 11(5), 2005, 573-583.
2. Agarwal, M. G.; Anchan, C.; Shah, M.; Puri, A.; Pai, S.: Limb Salvage Surgery for Osteosarcoma: Effective Low-cost Treatment, Clinical Orthopaedics and Related Research, 459, 2007, 82-91.
3. Croce, U. D.; Cappozzo, A.; Kerrigan, D. C.: Pelvis and Lower Limb Anatomical Landmark Calibration Precision and its Propagation to Bone Geometry and Joint Angles, Medical and Biological Engineering and Computing, 37, 1999, 155-161.
4. Dreup, B.; Hierholzer, E.: Back Shape Measurement using Video Rasterstereography and 3D Reconstruction of Spinal Shape, Clinical Biomechanics, 9, 1994, 28-36.
5. Ehrhardt, J.; Handels, H.; Strathmann, B.; Malina, T.; Plotz, W.; Poppl, S. J.: Atlas-based Recognition of Anatomical Structures and Landmarks to Support the Virtual Three-Dimensional Planning of Hip Operations, Lecture Notes in Computer Science, 2878, 2003, 17-24.
6. Griffin, F. M.; Math, K.; Scuderi, G. R.; Insal, J. N.; Poilvache, P. L.: Anatomy of the Epicondyles of the Distal Femur MRI Analysis of Normal Knees, The Journal of Arthroplasty, 15(3), 2000, 354-359.
7. Jan, S. V.: Skeletal Landmark Definitions, Technical Report, University of Brussels, 2004
8. Kay, P. A.; Robb, R. A.; Myers, R. P.; King, B. F.: Creation and validation of patient specific anatomical models for prostate surgery planning using virtual reality, Lecture Notes in Computer Science, 1131, 1996, 547-552.
9. Koenderink, J.; Dooen, A. V.: Surface Shape and Curvature Scales, Image and Vision Computing, 10(8), 1992, 557-565.
10. Liu, X.; Kim, W.; Drerup, B.: Foot 3D Characterization and Localization of Anatomical Landmarks of the Foot by FastSCAN, Real-Time Imaging, 10(4), 2004, 217-228.
11. Maekawa, T.; Wolter, E. E.; Patrikalakis, N. M.: Umbilics and Lines of Curvature for Shape interrogation, Computer Aided Geometric Design, 13, 1996, 133-161.
12. Page, D. L.; Sun, Y.; Koschan, A. F.; Paik, J.; Abidi, M. A.: Normal Vector Voting: Crease Detection and Curvature Estimation on Large, Noisy Meshes, Graphical Models, 64, 2002, 199-229.
13. Razdan, A.; Bae, M. S.: A hybrid approach to feature segmentation of triangle meshes, Computer-Aided Design, 35(9), 2003, 783-789.
14. Subburaj, K.; Ravi, B.: High Resolution Medical Models and Geometric Reasoning starting from CT/MR Images, IEEE International Conference on CAD and Computer Graphics, Beijing, China, Oct. 15-18, 2007, 441-445
15. Viceconti, M.; Testi, D.; Simeoni, M.; Zannoni, C.: An Automated Method to Position Prosthetic Components within Multiple Anatomical Spaces, Computer Methods and Programs in Biomedicine, 70, 2003, 127-127.