Abstract
Thoracic radiotherapy planning is increasingly dependent on 4D computed tomography (CT), which acquires axial images in multiple respirator phases and reconstructs them into 3D CT images based on respiratory signals. However, large reconstruction errors or artifacts may be observed due to poor reproducibility of breathing cycles. In this paper, 4D-CT reconstruction of helical mode CT scanning is achieved by incorporating spatial continuity and longitudinal smoothness of anatomical structures, such as chest surface, bone, vessel, and lung fields. The objective is to optimize the assignment of each axial image into different respiratory phases so that the artifacts or spatial discontinuity of anatomical structures are minimized, and the anatomical structures maintain their longitudinal consistency. In experiments, we compared our results visually and quantitatively with the current surrogate-based, image-matching-based, and chest surface-constrained methods. The results showed that the proposed algorithm yields better helical mode 4D-CT than other proposed methods.
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References
Lu, W., Parikh, P.J., Hubenschmidt, J.P., Bradley, J.D., Low, D.A.: A comparison between amplitude sorting and phase-angle sorting using external respiratory measurement for 4D CT. Med. Phys. 33, 2964–2974 (2006)
Ehrhardt, J., Werner, R., Saring, D., Frenzel, T., Lu, W., Low, D., Handels, H.: An optical flow based method for improved reconstruction of 4D CT data sets acquired during free breathing. Med. Phys. 34, 711–721 (2007)
Johnston, E., Diehn, M., Murphy, J.D., Loo Jr., B.W., Maxim, P.G.: Reducing 4D CT artifacts using optimized sorting based on anatomic similarity. Med. Phys. 38, 2424–2429 (2011)
Han, D., Bayouth, J., Song, Q., Bhatia, S., Sonka, M., Wu, X.: Feature guided motion artifact reduction with structure-awareness in 4D CT images. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1057–1064. IEEE (2011)
Zeng, R., Fessler, J.A., Balter, J.M., Balter, P.A.: Iterative sorting for 4DCT images based on internal anatomy motion. In: 4th IEEE International Symposium on Biomedical Imaging, pp. 744–747. IEEE (2007)
Li, R., Lewis, J.H., Cervino, L.I., Jiang, S.B.: 4D CT sorting based on patient internal anatomy. Phys. Med. Biol. 54, 4821–4833 (2009)
Carnes, G., Gaede, S., Yu, E., Van Dyk, J., Battista, J., Lee, T.Y.: A fully automated non-external marker 4D-CT sorting algorithm using a serial cine scanning protocol. Phys. Med. Biol. 54, 2049–2066 (2009)
Gianoli, C., Riboldi, M., Spadea, M.F., Travaini, L.L., Ferrari, M., Mei, R., Orecchia, R., Baroni, G.: A multiple points method for 4D CT image sorting. Med. Phys. 38, 656–667 (2011)
He, T., Xue, Z., Nitsch, P.L., Teh, B.S., Wong, S.T.: Helical mode lung 4D-CT reconstruction using bayesian model. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part III. LNCS, vol. 8151, pp. 33–40. Springer, Heidelberg (2013)
Neubert, A., Salvado, O., Acosta, O., Bourgeat, P., Fripp, J.: Constrained reverse diffusion for thick slice interpolation of 3D volumetric MRI images. Comput. Med. Imag. Graph. 36, 130–138 (2012)
Freeborough, P.A., Fox, N.C.: The boundary shift integral: An accurate and robust measure of cerebral volume changes from registered repeat MRI. IEEE Trans. Med. Imag. 16, 623–629 (1997)
Gerig, G., Jomier, M., Chakos, M.: Valmet: A new validation tool for assessing and improving 3D object segmentation. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 516–523. Springer, Heidelberg (2001)
Zhu, X., Xue, Z., Gao, X., Zhu, Y., Wong, S.T.C.: Voles: Vascularity-oriented level set algorithm for pulmonary vessel segmentation in image guided intervention therapy. In: IEEE International Symposium on Biomedical Imaging, pp. 1247–1250. IEEE Press, Boston (2009)
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He, T., Xue, Z., Yu, N., Teh, B.S., Wong, S.T. (2014). Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning. In: Linguraru, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2014. Lecture Notes in Computer Science(), vol 8680. Springer, Cham. https://doi.org/10.1007/978-3-319-13909-8_16
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DOI: https://doi.org/10.1007/978-3-319-13909-8_16
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