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ECR 2018 / C-1337
Evaluation of deformable image registration using diffeomorphic transformation models for three-dimensional temporal subtraction of chest tomography images
Congress: ECR 2018
Poster No.: C-1337
Type: Scientific Exhibit
Keywords: Image registration, Computer Applications-3D, Computer Applications-Detection, diagnosis, CAD, CT, Lung
Authors: P. Yan, Y. Kodera, K. Shimamoto; Nagoya/JP
DOI:10.1594/ecr2018/C-1337

References

 

[1] B. B. Avants, N. J. Tustison, G. Song, and J. C. Gee, “Ants: advanced open-source tools for normalization and neuroanatomy,” in PICSL, 2009.

 

[2] G. Song, N. Tustison, B. Avants, and J C. Gee, “Lung CT image registration using diffeomorphic transformation models,” in Medical Image Analysis for the Clinic: A Grand Challenge, pp. 23–32, 2010.

 

[3] G. E. Christensen and H. J. Johnson, “Consistent image registration,” IEEE Transactions on Medical Imaging, vol. 20, no. 7, pp. 568–582, 2001.

 

[4] P. Yan, Y. Kodera and K. Shimamoto, “Evaluation of Deformable Image Registration for Three-Dimensional Temporal Subtraction of Chest Computed Tomography Images,” International Journal of Biomedical Imaging, vol. 2017, Article ID 3457189, 11 pages, 2017.

 

[5] K. Murphy, B. van Ginneken, S. klein, M. Staring, B.J. de Hoop, M.A. Viergever, J.P.W. Pluim, “Semi-automatic construction of reference standards for evaluation of image registration,” Medical image analysis 15:71-84, 2011.

 

[6] A. Sotiras, C. Davatzikos, and N. Paragios, “Deformable medical image registration: a survey,” IEEE Transactions on Medical Imaging, vol. 32, no. 7, pp. 1153–1190, 2013.

 

[7] K.Murphy, B. van Ginneken, J. M. Reinhardt et al., “Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge,” IEEE Transactions onMedical Imaging, vol. 30, no. 11, pp. 1901–1920, 2011.

 

 

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