Unsupervised reconstruction of a patient-specific surface model of a proximal femur from calibrated fluoroscopic images

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 834-841

  Zheng, Guoyan ^a   Dong, Xiao ^a   Ballester, Miguel A Gonzalez ^a  

^a UNIVERSITY OF BERN   (Switzerland)

Author keywords

Fluoroscopy; Multiple component geometrical model; Particle filter; Point distribution model; Proximal femur; Surface reconstruction

Indexed keywords

COMPUTATIONAL GEOMETRY; ERROR ANALYSIS; MEDICAL IMAGING; OPTICAL TRANSFER FUNCTION; PATIENT MONITORING; SURFACE RECONSTRUCTION;

MULTIPLE COMPONENT GEOMETRICAL MODELS; PARTICLE FILTERS; PROXIMAL FEMUR;

IMAGE RECONSTRUCTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CALIBRATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FEMUR HEAD; FLUOROSCOPY; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STANDARD; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CALIBRATION; COMPUTER SIMULATION; FEMUR HEAD; FLUOROSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, ANATOMIC; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79551683228     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_101     Document Type: Conference Paper

References (10)

1. Yao, J., Taylor, R.H.: Assessing accuracy factors in deformable 2D/3D medical image registration using a statistical pelvis model. In: ICCV 2003, vol. 2 pp. 1329-1334 (2003)
2. Fleute, M., Lavallée, S.: Nonrigid 3D/2D registration of images using a statistical model. In: Taylor, C., Colchester, A. (eds.) MICCAI'99. LNCS, vol. 1679, pp. 138-147. Springer, Heidelberg (1999)
3. Benameur, S., Mignotte, M., Parent, S., et al.: A hierarchical statistical modeling approach for the unsupervised 3D biplanar reconstruction of the scoliotic spine. IEEE Trans. Biomed. Eng. 52, 2041-2057 (2005)
4. Zheng, G., Gonzalez Ballester, M.A., Styner, M., Nolte, L.-P.: Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and point distribution model. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 25-32. Springer, Heidelberg (2006)
5. Dong, X., Zheng, G.: A computational framework for automatic determination of morphological parameters of proximal femur from intraoperative fluoroscopic images. In: ICPR 2006, Part I pp. 1008-1013 (2006)
6. Dong, X., Gonzalez Ballester, M.A., Zheng, G.: Automatic extraction of femur contours from calibrated fluoroscopic images. WACV 2007, p. 55 (2007)
7. Hertzmann, A., Zorin, D.: Illustrating smooth surface. In: SIGGRAPH 2000, pp. 517-526 (2000)
8. Isard, M., Blake, A.: Contour tracking by stochastic propagation of conditional density. In: Buxton, B.F., Cipolla, R. (eds.) ECCV 1996. LNCS, vol. 1064, pp. 343-356. Springer, Heidelberg (1996)
9. Scott, D.W.: Multivariate Density Estimation. Wiley, Chichester (1992)
10. Cootes, T., Taylor, C.: Statistical models of appearance for computer vision. Technical report, University of Manschester, United Kingdom, ch. 6 & 7, pp. 34-42 (2004)