Abstract
Tomosynthesis reconstruction that produces high-quality images is a difficult problem, due mainly to the highly incomplete data. In this work we present a motivation for the generalized filtered backprojection (GFBP) approach to tomosynthesis reconstruction. This approach is fast (since non-iterative), flexible, and results in reconstructions with an image quality that is similar or superior to reconstructions that are mathematically optimal. Results based on synthetic data and patient data are presented.
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Wu, T., Moore, R., Rafferty, E., Kopans, D.: A comparison of reconstruction algorithms for breast tomosynthesis. Med. Phys. 31(9), 2636–2647 (2004)
Claus, B.E.H., Eberhard, J.W., Thomas, J.A., Galbo, C.E., Pakenas, W.P., Muller, S.L.: Preference Study of Reconstructed Image Quality in Mammographic Tomosynthesis. In: Peitgen, H.-O. (ed.) Digital Mammography IWDM 2002, Proceedings of the 6th IWDM, Bremen, Germany. Springer, Heidelberg (2003)
Claus, B.E.H., Eberhard, J.W.: A New Method for 3D Reconstruction in Digital Tomosynthesis. In: Proc. SPIE, Medical Imaging 2002, vol. 4684 (2002)
Suryanarayanan, S., Karellas, A., Vedantham, S., Baker, S.P., Glick, S.J., D’Orsi, C.J., Webber, R.L.: Evaluation of Linear and Nonlinear Tomosynthetic Reconstruction Methods in Digital Mammography. Acad. Radiol. 8, 219–224 (2000)
Suryanarayanan, S., Karellas, A., Vedantham, S., Glick, S.J., D’Orsi, C.J., Baker, S.P., Webber, R.L.: Comparison of Tomosynthesis Methods Used in Digital Mammography. Acad. Radiol. 7, 1085–1097 (2000)
Wu, T., Stewart, A., Stanton, M., Phillips, W., McCauley, T., Kopans, D.B., Moore, R.H., Eberhard, J.W., Opsahl-Ong, B., Niklason, L., Williams, M.B.: Tomographic mammography using a limited number of low-dose cone-beam projection images. Med. Phys. 30(3), 365–380 (2003)
Wang, B., Barner, K., Lee, D.: Algebraic Tomosynthesis Reconstruction. In: Proc. SPIE, Medical Imaging 2004, vol. 5370, pp. 711–718 (2004)
Dobbins, J.T., Godfrey, D.J.: Digital x-ray tomosynthesis: current state of the art and clinical potential. Phys. Med. Biol. 48, R65–R106 (2003)
Eberhard, J.W., Albagli, D., Schmitz, A., Claus, B.E.H., Carson, P., Goodsitt, M., Chan, H.-P., Roubidoux, M., Thomas, J.A., Osland, J.: Mammography Tomosynthesis System for High- Performance 3D Imaging. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds.) IWDM 2006. LNCS, vol. 4046, pp. 137–143. Springer, Heidelberg (2006)
Byng, J.W., Critten, J.P., Yaffe, M.J.: Thickness-equalization processing for mammographic images. Radiology 203, 564–568 (1997)
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Claus, B.E.H., Eberhard, J.W., Schmitz, A., Carson, P., Goodsitt, M., Chan, HP. (2006). Generalized Filtered Back-Projection Reconstruction in Breast Tomosynthesis. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_24
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DOI: https://doi.org/10.1007/11783237_24
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