Semi-automatic reference standard construction for quantitative evaluation of lung CT registration

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

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 1006-1013

  Murphy, Keelin ^a   Van Ginneken, Bram ^a   Pluim, Josien P W ^a   Klein, Stefan ^a   Staring, Marius ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL COMPUTING; MEDICAL IMAGING;

LUNG CT; MANUAL ANNOTATION; QUANTITATIVE EVALUATION; REFERENCE STANDARD; SEMI-AUTOMATICS; THORACIC CT;

COMPUTERIZED TOMOGRAPHY;

AGED; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; FEMALE; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; LUNG; LUNG TUMOR; MALE; METHODOLOGY; MIDDLE AGED; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AGED; ALGORITHMS; FEMALE; HUMANS; LUNG; LUNG NEOPLASMS; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 58849133343     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_121     Document Type: Conference Paper

References (12)

1. Betke, M., Hong, H., Ko, J.P.: Landmark detection in the chest and registration of lung surfaces with an application to nodule registration. Medical Image Analysis 7, 265-281 (2003)
2. Blaffert, T., Wiemker, R.: Comparison of different follow-up lung registration methods with and without segmentation. In: Proc. SPIE, vol. 5370, pp. 1701-1708 (2004)
3. Bookstein, F.L.: Principal Warps: Thin-Plate Splines and the Decomposition of Deformations. IEEE Trans. PAMI 11, 567-585 (1989)
4. Hu, S., Hoffman, E.A., Reinhardt, J.M.: Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Trans. Med. Imaging 20(6), 490-498 (2001)
5. Klein, S., Staring, M., Pluim, J.P.W.: Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines. IEEE Trans. Med. Imaging 16(12), 2879-2890 (2007)
6. Likar, B., Permiš, F.: Automatic extraction of corresponding points for the registration of medical images. Medical Physics 26, 1678-1686 (1999)
7. McClelland, J., Blackall, J., Tarte, S.: A continuous 4D motion model from multiple respiratory cycles for use in lung radiotherapy. Medical Physics 33 (2006)
8. Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712-721 (1999)
9. Saff, E.B., Kuijlaars, A.B.J.: Distributing Many Points on a Sphere. The Mathematical Intelligence 19, 5-11 (1997)
10. Thèvenaz, P., Unser, M.: Optimization of mutual information for multiresolution image registration. IEEE Trans. Image Proc. 9(12), 2083-2099 (2000)
11. Urschler, M., Kluckner, S., Bischof, H.: A Framework for Comparison and Evaluation of Nonlinear Intra-Subject Image Registration Algorithms. In: IJ - 2007 MICCAI Open Science Workshop (2007)
12. Vik, T., Kabusa, S., von Berg, J., Ens, K., Dries, S., Klinder, T., Lorenz, C.: Validation and comparison of registration methods for freebreathing 4D lung CT. In: Proc. SPIE (2008)