References
- B. Zitova and J. Flusser, "Image registration methods : a survey," Image and Vision Computing, vol. 21, no. 11, pp. 977-1000, 2003. https://doi.org/10.1016/S0262-8856(03)00137-9
- B. Li, G.E. Christensen, G. McLennan, E.A. Hoffman, and J.M. Reinhardt, "Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3-D consistent image registration," Medical Physics, vol. 35, no. 12, pp. 5575-5583, 2008. https://doi.org/10.1118/1.3005633
- K. Ding, J.E. Bayouth, J.M. Buatti, G.E. Christensen, and J.M. Reinhardt, "4DCT based measurement of changes in pulmonary function following a course of radiation therapy," Medical Physics, vol. 37, no. 3, pp. 1261-1272, 2010. https://doi.org/10.1118/1.3312210
- M. Urschler, J. Bauer, H. Ditt, and H. Bischof, "Automatic point landmark matching for regularizing nonlinear intensity registration: Application to thoracic CT images," In Proc. of MICCAI, LNCS. 4191, pp. 710-717, 2006.
- M. Betke, H. Hong, D. Thomas, C. Prince, and J.P. Ko, "Landmark detection in the chest and registration of lung surfaces with an application to nodule registration," Medical Image Analysis, vol. 7, no. 3, pp. 265-281, 2003. https://doi.org/10.1016/S1361-8415(03)00007-0
- D.G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, 2004. https://doi.org/10.1023/B:VISI.0000029664.99615.94
- M. Urschler, J. Bauer, H. Ditt, and H. Bischof, "SIFT and shape context for feature-based nonlinear registration of thoracic CT images," In Computer Vision Approaches to Medical Image Analysis, pp. 73-84, 2006.
- S. Lee, G. Wolberg, and S.Y. Shin, "Scattered data interpolation with multi-level B-splines," IEEE Trans. on Visualization and Computer Graphics, vol. 3, no. 3, pp. 228-244, 1997. https://doi.org/10.1109/2945.620490
- D. Rueckert, L.I. Sonoda, C. Hayes, D.L.G. Hill, M.O. Leach, and D.J. Hawkes, "Nonrigid registration using free-form deformations: application to breast MR images," IEEE Trans. on Medical Imaging, vol. 18, no. 8, pp .712-721, 1999. https://doi.org/10.1109/42.796284
- C.V. Stewart, Y. Lee, and C. Tsai, "An uncertainty-driven hybrid of intensity-based and feature-based registration with application to retinal and lung CT images," In Proc. of MICCAI, pp. 870-877, 2004.
- Y. Yin, E.A. Hoffman, K. Ding, J.M. Reinhardt, and C. Lin, "A cubic B-spline-based hybrid registration of lung CT images for a dynamic airway geometric model with large deformation," Medicine and Biology, vol. 56, no. 1, pp. 203-218, 2011. https://doi.org/10.1088/0031-9155/56/1/013
- W. Frstner, "A feature based correspondence algorithm for image matching," Int. Arch. Photogram. Remote Sensing, vol. 26, pp. 150-166, 1986.
- J. Pilet, V. Lepetit, and P. Fua, "Fast non-rigid surface detection, registration and realistic augmentation," Int. Journal of Computer Vision, vol. 76, no. 2, pp. 109-122, 2008. https://doi.org/10.1007/s11263-006-0017-9
- J.R. Shewchuk, "An introduction to the conjugate gradient method without the agonizing pain," 1994.
- S. Allaire, J. Kim, S. Breen, D. Haffray, and V. Pekar, "Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis," In Proc. of MMBIA., 2008.
- D. Kwon, I. Yun, K. Lee, and S. Lee, "Efficient feature-based nonrigid registration of multiphase liver CT volumes," In Proc. of BMVC, 2008.
- X. Han, "Feature-constrained nonlinear registration of lung CT images," In MICCAI 2010 Grand Challenges in Medical Image Analysis: Evaluation of Methods for Pulmonary Image Registration(EMPIRE10), 2010.