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Volumn 7962, Issue , 2011, Pages

Landmark-driven parameter optimization for non-linear image registration

Author keywords

landmark detection; parameter optimization; registration

Indexed keywords

AUTOMATIC PARAMETER OPTIMIZATION; CT DATA; INTENSITY-BASED; INTENSITY-BASED REGISTRATION; LANDMARK DETECTION; MEDICAL IMAGE PROCESSING; MULTI-SCALE APPROACHES; MULTIPLE FACTORS; NON-LINEAR; OPTIMAL VALUES; PARAMETER CHOICE; PARAMETER OPTIMIZATION; PATIENT POSITIONING; REGISTRATION; REGISTRATION ACCURACY; REGISTRATION PROBLEMS; REGISTRATION PROCESS; RESEARCH AREAS; TARGET REGISTRATION ERRORS;

EID: 79958014497     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.877059     Document Type: Conference Paper
Times cited : (11)

References (13)
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  • 2
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    • Ehrhardt, J., Werner, R., Säring, D., Lu, W., Low, D. A., and Handels, H., "An optical flow based method for improved reconstruction of 4D CT data sets acquired during free breathing," Med Phys 34(2), 711-21 (2007).
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  • 5
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    • Landmark-based elastic registration using approximating thin-plate splines
    • Rohr, K., Stiehl, H. S., Sprengel, R., Buzug, T. M., Weese, J., and Kuhn, M. H., "Landmark-based elastic registration using approximating thin-plate splines.," IEEE Trans Med Imaging 20(6), 526-34 (2001).
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  • 9
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    • Evaluation of 3D operators for the detection of anatomical point landmarks in MR and CT images
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  • 13
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    • A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets
    • Jan
    • Castillo, R., Castillo, E., Guerra, R., Johnson, V. E., McPhail, T., Garg, A. K., and Guerrero, T., "A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets," Phys Med Biol 54, 1849-1870 (Jan 2009).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.