Validation of volume-preserving non-rigid registration: Application to contrast-enhanced Mr-mammography

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

Volumn 2488, Issue , 2002, Pages 307-314

  Tanner, C ^a   Schnabel, J A ^a   Degenhard, A ^b   Castellano Smith, A D ^a   Hayes, C ^b   Leach, M O ^b   Hose, D R ^c   Hill, D L G ^a   Hawkes, D J ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b INSTITUTE OF CANCER RESEARCH   (United Kingdom)

^c UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DEFORMATION; MAGNETIC RESONANCE; MAMMOGRAPHY; MEDICAL COMPUTING; MEDICAL IMAGING;

CONTRAST-ENHANCED; CONTRAST-ENHANCED MR; NON-RIGID REGISTRATION ALGORITHMS; NONRIGID REGISTRATION; REGISTRATION ACCURACY; REGISTRATION ERROR; TARGET REGISTRATION ERRORS; VOLUME PRESERVING CONSTRAINTS;

IMAGE ENHANCEMENT;

EID: 84974733467     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45786-0_38     Document Type: Conference Paper

References (19)

1. C. H. Blood and B. R. Zetter, “Tumor Interactions with the Vasculature: Angiogensis and Tumor Metastasis,” Biochimica et Biophysica Acta, vol. 1032, pp. 89-118, 1990.
2. P. W. Vaupel, Blood Flow, Oxygenation, Tissue pH Distribution, and Bioenergetic Status of Tumors. Berlin, Germany: Ernst Schering Research Foundation, 1st ed., 1994.
3. M. D. Schnall and D. M. Ikeda, “Lesion Diagnosis Working Group Report,” Journal of Magnetic Resonance Imaging, vol. 10, pp. 982-990, 1999.
4. D. Rueckert, L. I. Sonoda, C. Hayes, D. L. Hill, M. O. Leach, and D. J. Hawkes, “Nonrigid Registration using Free-Form Deformations: Application to Breast MR Images,” IEEE Transactions on Medical Imaging, vol. 7, pp. 1-10, August 1999.
5. E. R. E. Denton, L. I. Sonoda, D. Rueckert, S. C. Rankin, C. Hayes, M. O. Leach, and D. J. Hawkes, “Comparison and Evaluation of Rigid, Affine, and Nonrigid Registration of Breast MR Images,” Journal of Computer Assisted Tomography, vol. 5, pp. 800-805, May 1999.
6. C. Tanner, J. A. Schnabel, D. Chung, M. J. Clarkson, D. Rueckert, D. L. G. Hill, and D. J. Hawkes, “Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhanced MR Breast Images,” in Medical Image Computing and Computer-Assisted Intervention, Pittsburgh, USA, pp. 327-337, 2000.
7. D. Terzopoulos and K. Waters, “Analysis and Synthesis of Facial Image Sequences using Physical and Anatomical Models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, pp. 569-579, 1993.
8. P. J. Edwards, D. L. G. Hill, J. A. Little, and D. J. Hawkes, “A Three-Component Deformation Model for Image-Guided Surgery,” Medical Image Analysis, vol. 2, pp. 355-367, 1998.
9. T. Rohlfing and C. R. Maurer, “Intensity-Based Non-rigid Registration Using Adaptive Multilevel Free-Form Deformation with an Incompressibility Constraint,” in Medical Image Computing and Computer-Assisted Intervention, Utrecht, Netherlands, pp. 111-119, 2001.
10. J. A. Schnabel, C. Tanner, A. D. Castellano-Smith, M. O. Leach, C. Hayes, A. Degenhard, R. Hose, D. L. G. Hill, and D. J. Hawkes, “Validation of Non-Rigid Registration using Finite Element Methods,” in Information Processing in Medical Imaging, Davis, CA, USA, pp. 344-357, 2001.
11. J. A. Schnabel, D. Rueckert, M. Quist, J. M. Blackall, A. Castellano-Smith, T. Hartkens, G. P. Penney, W. A. Hall, C. L. Truwit, F. A. Gerritsen, D. L. G. Hill, and D. J. Hawkes, “A Generic Framework for Non-Rigid Registration based on Non-Uniform Multi-Level Free- Form Deformations,” in Medical Image Computing and Computer-Assisted Intervention, Utrecht, Netherlands, pp. 573-581, 2001.
12. J. A. Schnabel, C. Tanner, A. D. Castellano-Smith, A. Degenhard, C. Hayes, M. O. Leach, D. R. Hose, and D. J. H. D. L. G. Hill, “Finite element based validation of non-rigid registration using single- and multi-level free-form deformations: Application to contrast-enhanced MR mammography,” in Proceedings SPIE Medical Imaging 2002, Image Processing, San Diego, CA, pp. 550-581, 2002.
13. W. Schroeder, K. Martin, and B. Lorensen, The Visualization Toolkit. New Jersey, USA: Prentice Hall PTR, 2nd ed., 1998.
14. ANSYS. http://www.ansys.com.
15. A. Sarvazyan, D. Goukassian, E. Maevsky, and G. Oranskaja, “Elastic Imaging as a new Modality of Medical Imaging for Cancer Detection,” in Proceedings of the International Workshop on Interaction of Ultrasound with Biological Media, Valenciennes, France, pp. 69-81, 1994.
16. T. A. Krouskop, T. M. Wheeler, F. Kallel, B. S. Garra, and T. Hall, “Elastic Moduli of Breast and Prostate Tissues Under Compression,” Ultrasonic Imaging, vol. 20, pp. 260-274, 1998.
17. C. Tanner, A. Degenhard, J. A. Schnabel, A. Castellano-Smith, C. Hayes, L. I. Sonoda, M. O. Leach, D. R. Hose, D. L. G. Hill, and D. J. Hawkes, “A Comparison of Biomechanical Breast Models: A Case Study,” in Proceedings SPIE Medical Imaging 2002, Image Processing, San Diego, CA, pp. 1807-1818, 2002.
18. J. M. Fitzpatrick, “Detecting failure, assessing success,” in Hajnal et al. [19], ch. I-6, pp. 117-139.
19. J. V. Hajnal, D. L. G. Hill and D. J. Hawkes, eds., Medical Image Registration. CRC Press, 2001.