Abstract
Dual-Energy Contrast Enhanced Digital breast tomosynthesis is an emerging technique for breast cancer detection, which combines the strengths of functional and morphological 3D imaging. The projection images acquired with two energy spectra at several angulations are combined to obtain “iodine” projections. These are then reconstructed to provide 3D iodine images. The combination process significantly increases the noise in the images, which is further amplified by the 3D reconstruction. This paper proposes a regularized reconstruction method based on the simultaneous algebraic reconstruction technique to be used for the reconstruction of the iodine volume. The regularization represents a constraint for the reconstructed volume, which causes the reduction of the noise and preserves the structures of interest. Preliminary results on clinical data demonstrate a significant increase of the visibility of iodine-enhanced regions without affecting their sharpness and morphology.
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References
Frouge, C., Guinebretière, J., Paola, R.D., Contesso, G., Blery, M.: Correlation between contrast enhancement and tumor angiogenesis. Investigative Radiol. 29, 1043–1049 (1994)
Lewin, J., Isaacs, P., Vance, V., Larke, F.: Dual-energy contrast enhanced digital subtraction mammography: feasibility. Radiol. 229, 261–268 (2003)
Carton, A.-K., Gavenonis, S.C., Currivan, J.A., Conant, E.F., Schnall, M.D., Maidement, A.: Dual-energy contrast-enhanced digital breast tomosynthesis – a feasibility study. Br. J. Radiol., 2009 0: 80279516 (2009)
Puong, S., Patoureaux, F., Iordache, R., Bouchevreau, X., Muller, S.: Dual-energy contrast enhanced digital breast tomosynthesis: concept, method, and evaluation on phantoms. In: Proc. Med. Imaging 2007: Physics of Med. Imaging. SPIE, vol. 6510 (2007)
Gennaro, G., Toledano, A., di Maggio, C., Baldan, E., Bezzon, E., La Grassa, M., Pescarini, L., Polico, I., Proietti, A., Toffoli, A., Muzzio, P.C.: Digital breast tomosynthesis versus digital mammography: a clinical performance study. European Radiol. (2009) (Published Online)
Andersen, A.H.: Algebraic reconstruction in CT from limited views. IEEE Tr. on Med. Imaging 8, 50–55 (1989)
Jiang, M., Wang, G.: Convergence studies on iterative algorithms for image reconstruction. IEEE Tr. on Med. Imaging 22, 569–579 (2003)
Thibault, J.-B., Sauer, K.D., Bouman, C.A., Hsieh, J.: A three-dimensional statistical approach to improved image quality for multislice helical CT. Med. Phys. 34(11), 4526–4544 (2007)
Lange, K.: Convergence of EM image reconstruction algorithm with Gibbs smoothing. IEEE Tr. on Med. Imaging 9, 439–446 (1990)
Puong, S., Bouchevreau, X., Patoureaux, F., Iordache, R., Muller, S.: Dual-energy contrast enhanced digital mammography using a new approach for breast tissue canceling. In: Flynn, M., Hsieh, J. (eds.) Proc. Medical Image 2007: Physics of Med. Imaging. SPIE, vol. 6510, p. 65102H (2007)
Zhao, B., Zhou, J., Hu, Y.-H., Mertelmeier, T., Ludwig, J., Zhao, W.: Experimental validation of a three-dimensional linear system model for breast tomosynthesis. Med. Phys. 36(1), 240–251 (2009)
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Iordache, R., Lohezic, M., Palma, G., Puong, S., Muller, S. (2010). Noise Reduction in Dual-Energy Contrast Enhanced Digital Breast Tomosynthesis Using Regularization. In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_13
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DOI: https://doi.org/10.1007/978-3-642-13666-5_13
Publisher Name: Springer, Berlin, Heidelberg
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