SIFT and shape context for feature-based nonlinear registration of thoracic CT images

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

Volumn 4241 LNCS, Issue , 2006, Pages 73-84

  Urschler, Martin ^a   Bauer, Joachim ^b   Ditt, Hendrik ^c   Bischof, Horst ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b VRVIS RESEARCH CENTER   (Austria)

^c SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DATA STRUCTURES; FEATURE EXTRACTION; MEDICAL IMAGING;

BREATHING MOTION; CLINICAL DATA SETS; DATA ACQUISITION PROTOCOLS; IMAGE REGISTRATION;

COMPUTERIZED TOMOGRAPHY;

EID: 33750731964     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11889762_7     Document Type: Conference Paper

References (14)

1. Wildberger, J.E., Klotz, E., Ditt, H., Mahnken, A.H., Spüntrup, E., Günther, R.W.: Multi-slice CT for Visualization of Acute Pulmonary Embolism: Single Breath-hold Subtraction Technique. Fortschritte auf dem Gebiet der Roentgenstrahlen und der bildgebenden Verfahren 177 (2005) 17-23
2. Maintz, J., Viergever, M.: A Survey of Medical Image Registration. Medical Image Analysis 2(1) (1998) 1-36
3. Zitova, B., Flusser, J.: Image registration methods: A survey. Image and Vision Computing 21(11) (2003) 977-1000
4. Thirion, J.P.: Image matching as a diffusion process: An analogy with Maxwell's demons. Medical Image Analysis 2(3) (1998) 243-260
5. Förstner, W.: A Feature Based Correspondence Algorithm for Image Matching. Int. Arch, of Photogrammetry and Remote Sensing 26(3) (1986) 150-166
6. Löwe, D.G.: Distinctive Image Features from Scale-Invariant Keypoints. International Journal on Computer Vision 60(2) (2004) 91-110
7. Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE PAMI 24(4) (2002). 509-522
8. Bookstein, F.: Principal Warps: Thin-Plate Splines and the Decomposition of Deformations. IEEE PAMI 11(6) (1989) 567-585
9. Rohr, K.: Landmark-Based Image Analysis Using Geometric and Intensity Models. Computational Imaging and Vision. Kluwer Academic Publishers (2001)
10. Johnson, H.J., Christensen, G.E.: Consistent Landmark and Intensity-Based Image Registration. IEEE Transactions on Medical Imaging 21(5) (2002) 450-461
11. Chui, H., Win, L., Schultz, R., Duncan, J., Rangarajan, A.: A unified non-rigid feature registration method for brain mapping. Medical Image Analysis 7 (2003) 113-130
12. Mortensen, E.N., Deng, H., Shapiro, L.: A SIFT Descriptor with Global Context. In: IEEE CVPR 2005. (2005) 184-190
13. Mikolajczyk, K., Schmid, C.: Performance Evaluation of Local Descriptors. IEEE PAMI 27(10) (2005) 1615-1630
14. Fua, P.: A Parallel Stereo Algorithm that Produces Dense Depth Maps and Preserves Image Features. Machine Vision and Applications 6 (1993) 35-49