Skull-based registration of intra-subject CT images: The effects of different resolutions and partial contents

2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010

Yuan-Lin Liao, Yung-Nien Sun, Chia-Feng Lu, Yu-Te Wu, Chieh-Tsai Wu, Shih-Tseng Lee, Jiann-Der Lee, Int. Assoc. Comput. Sci. Inf. Technol. (IACSIT)

Research output: Contribution to conferenceOther

2 Citations (Scopus)

Abstract

The performance of a skull-based image registration is assessed for aligning intra-subject computed tomography (CT) images. Images with six levels of resolution are provided. The images with coarser resolution are resampled, followed by thresholding all images to extract the skull as the matching feature. Using the finest image as the reference, the skull-based registration is processed with sum of squared difference (SSD) criterion. In addition, images with partial contents are simulated and served as the floating image to investigate the interaction between different levels of resolution and partial contents. We conclude that a successful registration requires that more than half of the content should be preserved and the differences of image resolution between two images should be less than 16 times. © 2010 IEEE.
Original languageEnglish
Pages269-272
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes

Fingerprint

bioinformatics
skull
tomography
registration
effect
image resolution

Keywords

  • Computed tomography
  • Image registration
  • Partial
  • Resolution
  • Skull
  • Coarser resolution
  • CT Image
  • Sum of squared differences
  • Thresholding
  • Bioinformatics
  • Feature extraction
  • Image resolution
  • Computerized tomography

Cite this

Skull-based registration of intra-subject CT images: The effects of different resolutions and partial contents : 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010. / Liao, Yuan-Lin; Sun, Yung-Nien; Lu, Chia-Feng; Wu, Yu-Te; Wu, Chieh-Tsai; Lee, Shih-Tseng; Lee, Jiann-Der; (IACSIT), Int. Assoc. Comput. Sci. Inf. Technol.

2010. 269-272.

Research output: Contribution to conferenceOther

Liao, Yuan-Lin ; Sun, Yung-Nien ; Lu, Chia-Feng ; Wu, Yu-Te ; Wu, Chieh-Tsai ; Lee, Shih-Tseng ; Lee, Jiann-Der ; (IACSIT), Int. Assoc. Comput. Sci. Inf. Technol. / Skull-based registration of intra-subject CT images: The effects of different resolutions and partial contents : 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010. 4 p.
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title = "Skull-based registration of intra-subject CT images: The effects of different resolutions and partial contents: 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010",
abstract = "The performance of a skull-based image registration is assessed for aligning intra-subject computed tomography (CT) images. Images with six levels of resolution are provided. The images with coarser resolution are resampled, followed by thresholding all images to extract the skull as the matching feature. Using the finest image as the reference, the skull-based registration is processed with sum of squared difference (SSD) criterion. In addition, images with partial contents are simulated and served as the floating image to investigate the interaction between different levels of resolution and partial contents. We conclude that a successful registration requires that more than half of the content should be preserved and the differences of image resolution between two images should be less than 16 times. {\circledC} 2010 IEEE.",
keywords = "Computed tomography, Image registration, Partial, Resolution, Skull, Coarser resolution, CT Image, Sum of squared differences, Thresholding, Bioinformatics, Feature extraction, Image resolution, Computerized tomography",
author = "Yuan-Lin Liao and Yung-Nien Sun and Chia-Feng Lu and Yu-Te Wu and Chieh-Tsai Wu and Shih-Tseng Lee and Jiann-Der Lee and (IACSIT), {Int. Assoc. Comput. Sci. Inf. Technol.}",
note = "會議代碼: 81050 被引用次數:2 Export Date: 31 March 2016 通訊地址: Liao, Y.-L.; Dept. of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan; 電子郵件: yuanlin@csie.ncku.edu.tw 參考文獻: Gholipour, A., Kehtarnavaz, N., Briggs, R., Devous, M., Gopinath, K., Brain functional localization: A survey of image registration techniques (2007) IEEE Trans. Med. Imaging, 26, pp. 427-451. , April; Hutton, B.F., Braun, M., Thurfjell, L., Lau, D.Y.H., Image registration: An essential tool for nuclear medicine (2002) Eur. J. Nucl. Med., 29, pp. 559-577. , April; Turkington, T.G., Hoffman, J.M., Jaszczak, R.J., MacFall, J.R., Harris, C.C., Kilts, C.D., Accuracy of surface fit registration for PET and MR brain images using full and incomplete brain surfaces (1995) J. Comput. Assist. Tomogr., 19, pp. 117-124. , January/February; Van Herk, M., Gilhuijs, K.G.A., De Munck, J., Touw, A., Effect of image artifacts, organ motion, and poor segmentation on the reliability and accuracy of three-dimensional chamfer matching (1997) Computer Aided Surgery, 2 (6), pp. 346-355. , DOI 10.1002/(SICI)1097-0150(1997)2:6<346::AID-IGS5>3.0.CO;2-#; Rusinek, H., Tsui, W.H., Levy, A.V., Noz, M.E., De Leon, M.J., Principal axes and surface fitting methods for three-dimensional image registration (1993) J. Nucl. Med., 34, pp. 2019-2024. , November; Li, X., Zhang, P., Brisman, R., Kutcher, G., Use of simulated annealing for optimization of alignment parameters in limited MRI acquisition volumes of the brain (2005) Med. Phys., 32, pp. 2363-2370. , July; Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P., Multimodality image registration by maximization of mutual information (1997) IEEE Trans. Med. Imaging, 16, pp. 187-198. , April; Roche, A., Malandain, G., Pennec, X., Ayache, N., The correlation ratio as a new similarity measure for multimodal image registration (1998) Lect. Notes Comput. Sci., 1496, pp. 1115-1124. , (Proc. MICCAI'98); Besl, P.J., McKay, N.D., A method for registration of 3-D shapes (1992) IEEE Trans. Pattern Anal. Mach. Intell., 14, pp. 239-256. , February; Brogefors, G., Hierarchical chamfer matching: A parametric edge matching algorithm (1988) IEEE Trans. Pattern Anal. Mach. Intell., 10, pp. 849-865. , November; Pelizzari, C.A., Chen, G.T.Y., Spelbring, D.R., Weichselbaum, R.R., Chen, C.-T., Accurate three-dimensional registration of CT, PET, and/or MR images of the brain (1989) J. Comput. Assist. Tomogr., 13, pp. 20-26. , January/February; Press, W.H., (1992) Numerical Recipes in C: The Art of Scientific Computing, , Cambridge: Cambridge University Press;",
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doi = "10.1109/ICBBT.2010.5478962",
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T1 - Skull-based registration of intra-subject CT images: The effects of different resolutions and partial contents

T2 - 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010

AU - Liao, Yuan-Lin

AU - Sun, Yung-Nien

AU - Lu, Chia-Feng

AU - Wu, Yu-Te

AU - Wu, Chieh-Tsai

AU - Lee, Shih-Tseng

AU - Lee, Jiann-Der

AU - (IACSIT), Int. Assoc. Comput. Sci. Inf. Technol.

N1 - 會議代碼: 81050 被引用次數:2 Export Date: 31 March 2016 通訊地址: Liao, Y.-L.; Dept. of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan; 電子郵件: yuanlin@csie.ncku.edu.tw 參考文獻: Gholipour, A., Kehtarnavaz, N., Briggs, R., Devous, M., Gopinath, K., Brain functional localization: A survey of image registration techniques (2007) IEEE Trans. Med. Imaging, 26, pp. 427-451. , April; Hutton, B.F., Braun, M., Thurfjell, L., Lau, D.Y.H., Image registration: An essential tool for nuclear medicine (2002) Eur. J. Nucl. Med., 29, pp. 559-577. , April; Turkington, T.G., Hoffman, J.M., Jaszczak, R.J., MacFall, J.R., Harris, C.C., Kilts, C.D., Accuracy of surface fit registration for PET and MR brain images using full and incomplete brain surfaces (1995) J. Comput. Assist. Tomogr., 19, pp. 117-124. , January/February; Van Herk, M., Gilhuijs, K.G.A., De Munck, J., Touw, A., Effect of image artifacts, organ motion, and poor segmentation on the reliability and accuracy of three-dimensional chamfer matching (1997) Computer Aided Surgery, 2 (6), pp. 346-355. , DOI 10.1002/(SICI)1097-0150(1997)2:6<346::AID-IGS5>3.0.CO;2-#; Rusinek, H., Tsui, W.H., Levy, A.V., Noz, M.E., De Leon, M.J., Principal axes and surface fitting methods for three-dimensional image registration (1993) J. Nucl. Med., 34, pp. 2019-2024. , November; Li, X., Zhang, P., Brisman, R., Kutcher, G., Use of simulated annealing for optimization of alignment parameters in limited MRI acquisition volumes of the brain (2005) Med. Phys., 32, pp. 2363-2370. , July; Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P., Multimodality image registration by maximization of mutual information (1997) IEEE Trans. Med. Imaging, 16, pp. 187-198. , April; Roche, A., Malandain, G., Pennec, X., Ayache, N., The correlation ratio as a new similarity measure for multimodal image registration (1998) Lect. Notes Comput. Sci., 1496, pp. 1115-1124. , (Proc. MICCAI'98); Besl, P.J., McKay, N.D., A method for registration of 3-D shapes (1992) IEEE Trans. Pattern Anal. Mach. Intell., 14, pp. 239-256. , February; Brogefors, G., Hierarchical chamfer matching: A parametric edge matching algorithm (1988) IEEE Trans. Pattern Anal. Mach. Intell., 10, pp. 849-865. , November; Pelizzari, C.A., Chen, G.T.Y., Spelbring, D.R., Weichselbaum, R.R., Chen, C.-T., Accurate three-dimensional registration of CT, PET, and/or MR images of the brain (1989) J. Comput. Assist. Tomogr., 13, pp. 20-26. , January/February; Press, W.H., (1992) Numerical Recipes in C: The Art of Scientific Computing, , Cambridge: Cambridge University Press;

PY - 2010

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N2 - The performance of a skull-based image registration is assessed for aligning intra-subject computed tomography (CT) images. Images with six levels of resolution are provided. The images with coarser resolution are resampled, followed by thresholding all images to extract the skull as the matching feature. Using the finest image as the reference, the skull-based registration is processed with sum of squared difference (SSD) criterion. In addition, images with partial contents are simulated and served as the floating image to investigate the interaction between different levels of resolution and partial contents. We conclude that a successful registration requires that more than half of the content should be preserved and the differences of image resolution between two images should be less than 16 times. © 2010 IEEE.

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KW - Computed tomography

KW - Image registration

KW - Partial

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KW - Skull

KW - Coarser resolution

KW - CT Image

KW - Sum of squared differences

KW - Thresholding

KW - Bioinformatics

KW - Feature extraction

KW - Image resolution

KW - Computerized tomography

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