Improving the detection performance in semi-automatic landmark extraction

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

Volumn 1679, Issue , 1999, Pages 253-263

  Frantz, Sönke ^a   Rohr, Karl ^a   Stiehl, H Siegfried ^a  

^a UNIVERSITY OF HAMBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; EXTRACTION; IMAGE SEGMENTATION; INTERPOLATION; MATHEMATICAL OPERATORS; MEDICAL COMPUTING; MEDICAL IMAGING;

ANATOMICAL POINT LANDMARKS; ANATOMICAL STRUCTURES; COMPUTATIONAL APPROACH; DETECTION PERFORMANCE; DIFFERENTIAL APPROACH; DIFFERENTIAL OPERATORS; SEMI-AUTOMATIC PROCEDURES; THE REGION OF INTEREST (ROI);

COMPUTERIZED TOMOGRAPHY;

EID: 84957059095     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/10704282_28     Document Type: Conference Paper

References (13)

1. J.-P. Thirion. Extremal Points: Definition and Application to 3D Image Registration. In Proc. CVPR’94, pp. 587–592. IEEE Computer Society Press, 1994.
2. K. Rohr. On 3D differential operators for detecting point landmarks. Image and Vision Computing, 15(3):219–233, 1997.
3. W. Beil, K. Rohr, and H.S. Stiehl. Investigation of Approaches for the Localization of Anatomical Landmarks in 3D Medical Images. In Proc. CAR’97, pp. 265–270. Elsevier Science, 1997.
4. T. Hartkens, K. Rohr, and H.S. Stiehl. Performance of 3D differential operators for the detection of anatomical point landmarks in MR and CT images. In Proc. SPIE’s Medical Imaging 1999: Image Processing. vol. 3661, pp. 32–43. SPIE, 1999.
5. K. Rohr. Image Registration Based on Thin-Plate Splines and Local Estimates of Anisotropic Landmark Localization Uncertainties. In Proc. MICCAI’98, LNCS 1496, pp. 1174–1183. Springer-Verlag, 1998.
6. S. Frantz, K. Rohr, and H.S. Stiehl. Refined Localization of Three-Dimensional Anatomical Point Landmarks Using Multi-Step Differential Approaches. In Proc. SPIE’s Medical Imaging 1998: Image Processing, vol. 3338, pp. 28–38. SPIE, 1998.
7. S. Frantz, K. Rohr, and H.S. Stiehl. Multi-step Procedures for the Localization of 2D and 3D Point Landmarks and Automatic ROI Size Selection. In Proc. ECCV’98, vol. I, LNCS 1406, pp. 687–703. Springer-Verlag, 1998.
8. L.M.J. Florack, B.M. ter Romeny, J.J. Koenderink, and M.A. Viergever. General Intensity Transformations and Differential Invariants. Journal of Mathematical Imaging and Vision, 4:171–187, 1994.
9. M. Unser, A. Aldroubi, and M. Eden. B-Spline Signal Processing: Part I—Theory. IEEE Trans. on Signal Processing, 41(2):821–833, 1993.
10. R. Bertolini and G. Leutert. Atlas der Anatomie des Menschen, volume 3: Kopf und Hals, Gehirn, Rückenmark und Sinnesorgane. Springer-Verlag, 1982.
11. J. Sobotta. Atlas der Anatomie des Menschen, volume 1: Kopf, Hals, obere Extremität, Haut. Urban & Schwarzenberg, 19th edition, 1988.
12. K. Rohr. Extraction of 3d anatomical point landmarks based on invariance principles. Pattern Recognition, 32(1):3–15, 1999.
13. S. Frantz, K. Rohr, H.S. Stiehl, S.-I. Kim, and J. Weese. Validating Point-based MR/CT Registration Based on Semi-automatic Landmark Extraction. In Proc. CARS’99. Elsevier Science, to appear.