No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Geometrical and Monte Carlo projectors in 3D PET reconstruction
2.A. Jacobs, H. Li, A. Winkeler, R. Hilker, C. Knoess, A. Rueger, N. Galldiks, B. Schaller, J. Sobesky, and L. Kracht, “PET-based molecular imaging in neuroscience,” Eur. J. Nucl. Med. Mol. Imaging 30(7), 1051–1065 (2003).
3.J. Lewis, S. Achilefu, J. Garbow, R. Laforest, and M. Welch, “Small animal imaging: Current technology and perspectives for oncological imaging,” Eur. J. Cancer 38(16), 2173–2188 (2002).
5.T. Frese, N. Rouze, C. Bouman, K. Sauer, and G. Hutchins, “Quantitative comparison of FBP, EM and Bayesian reconstruction algorithms for the IndyPET scanner,” IEEE Trans. Med. Imaging 22(2), 258–276 (2003).
7.H. Hudson and R. Larkin, “Accelerated image reconstruction using ordered subsets of projection data,” IEEE Trans. Med. Imaging 13(4), 601–609 (1994).
8.J. Qi, R. Leahy, A. Chatziioannou, S. Cherry, and F. Farquhar, “High-resolution 3D Bayesian image reconstruction using the microPET small animal scanner,” Phys. Med. Biol. 43(7), 1001–1013 (1998).
9.H. Zaidi and B. Hasegawa, “Determination of the attenuation map in emission tomography,” J. Nucl. Med. 44, 291–315 (2003).
11.A. J. Reader, P. J. Julyan, H. Williams, D. L. Hastings, and J. Zweit, “EM algorithm system modeling by image-space techniques for PET reconstruction,” IEEE Trans. Nucl. Sci. 50, 1392–1397 (2003).
12.F. C. Sureau, A. J. Reader, C. Comtat, C. Leroy, M. J. Ribeiro, I. Buvat, and R. Trebossen, “Impact of image-space resolution modeling for studies with the high-resolution research tomograph,” J. Nucl. Med. 49(6), 1000–1008 (2008).
13.J. Scheins, F. Boschen, and H. Herzog, “Analytical calculation of VOI for iterative fully 3D PET reconstruction,” IEEE Trans. Med. Imaging 25(10), 1363–1368 (2006).
15.S. Vandenberghe, S. Staelens, C. Byrne, E. Soares, I. Lemahieu, and S. Glick, “Reconstruction of 2D PET data with Monte Carlo generated system matrix for generalized natural pixels,” Phys. Med. Biol. 51, 3105–3125 (2006).
16.P. Aguiar, M. Rafecas, C. Falcon, J. Pavia, and D. Ros, “Fully 3D PET iterative reconstruction using a pseudo-Wu ray-tracer,” International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine Conference Record, pp. 402–405, 2007 (unpublished).
17.R. Lewitt, “Multidimensional digital image representations using generalized Kaiser-Bessel window functions,” J. Opt. Soc. Am. A 7(10), 1834–1846 (1990).
19.G. Pratx, G. Chinn, P. Olcott, and C. Levin, “Fast, accurate and shift-varying line projections for iterative reconstruction using the GPU,” IEEE Trans. Med. Imaging 28(3), 435–445 (2009).
20.V. Y. Panin, F. Kehren, C. Michel, and M. Casey, “Fully 3-D PET reconstruction with system matrix derived from point source measurements,” IEEE Trans. Med. Imaging 25(7), 907–921 (2006).
21.A. Alessio, P. Kinahan, and T. Lewellen, “Modeling and incorporation of system response functions in 3D whole body PET,” IEEE Trans. Med. Imaging 25(7), 828–837 (2006).
22.M. Rafecas, B. Mosler, M. Dietz, M. Pogl, A. Stamatakis, D. McElroy, and S. Ziegler, “Use of Monte Carlo-based probability matrix for 3D iterative reconstruction of MADPET-II data,” IEEE Trans. Nucl. Sci. 51(5), 2597–2605 (2004).
23.F. R. Rannou and A. F. Chatziioannou, “Fully 3D system model estimation of OPET by Monte Carlo simulation,” 2004 IEEE Nuclear Science Symposium Conference Record, Vol. 6, pp. 3433–3436, 2004 (unpublished).
24.S. Shokouhi et al., “Statistical 3D image reconstruction for the RatCAP PET tomograph using a physically accurate, Monte Carlo based system matrix,” 2004 IEEE Nuclear Science Symposium Conference Record, Vol. 6, pp. 3901–3905, 2004 (unpublished).
25.J. E. Ortuño, P. Guerra-Gutierrez, J. Rubio, G. Kontaxakis, and A. Santos, “3D-OSEM iterative image reconstruction for high-resolution PET using precalculated system matrix,” Nucl. Instrum. Methods Phys. Res. A 571(1–2), 98–101 (2007).
26.J. -D. Leroux, C. Thibaudeau, R. Lecomte, and R. Fontaine, “Fast, accurate and versatile Monte Carlo method for computing system matrix,” IEEE Nuclear Science Symposium Conference Record, 2007 (NSS ‘07), Vol. 5, pp. 3644–3648, 2007 (unpublished).
27.L. Zhang, S. Staelens, R. Van Holen, and J. De Beenhouwer, “Fast and memory-efficient Monte Carlo-based image reconstruction for whole-body PET,” Med. Phys. 37(7), 3667–3677 (2010).
29.C. Watson, D. Newport, and M. Casey, A Single-Scatter Simulation Technique for Scatter Correction in 3D PET (Kluwer Academic, Dordrecht, 1996).
30.A. Werling, O. Bublitz, J. Doll, L. Adam, and G. Brix, “Fast implementation of the single scatter simulation algorithm and its use in iterative image reconstruction of PET data,” Phys. Med. Biol. 47, 2947–2960 (2002).
32.C. Tsoumpas, P. Aguiar, D. Ros, N. Dikaios, and K. Thielemans, “Scatter simulation including double scatter,” IEEE Nuclear Science Symposium Conference Record, pp. 3–5, 2005 (unpublished).
33.A. Rahmim, J. Cheng, S. Blinder, M. Camborde, and V. Sossi, “Statistical dynamic image reconstruction in state-of-the-art high-resolution PET,” Phys. Med. Biol. 50(20), 4887–4912 (2005).
34.J. Vaquero, E. Lage, L. Rincon, M. Abella, E. Vicente, and M. Desco, “rPET detectors design and data processing,” IEEE Nuclear Science Symposium Conference Record, pp. 1–5, 2005 (unpublished).
35.V. Bettinardi, E. Pagani, M. Gilardi, S. Alenius, K. Thielemans, M. Teras, and F. Fazio, “Implementation and evaluation of a 3d one-step late reconstruction algorithm for 3D positron emission tomography brain studies using median root prior,” Eur. J. Nucl. Med. Mol. Imaging 29(1), 7–18 (2002).
36.S. Alenius, U. Rutotsalainen, and J. Astola, “Attenuation correction for PET using count-limited transmission images reconstructed with median root prior,” IEEE Trans. Nucl. Sci. 46, 646–651 (1999).
37.J. E. Ortuño, G. Kontaxakis, J. L. Rubio, P. Guerra, and A. Santos, “Efficient methodologies for system matrix modelling in iterative image reconstruction for rotating high-resolution PET,” Phys. Med. Biol. 55(7), 1833–1861 (2010).
40.C. Levin and E. Hoffman, “Calculation of positron range and its effect on the fundamental limit of positron emission tomography system spatial resolution,” Phys. Med. Biol. 44, 781–799 (1999).
42.D. Haynor, R. Harrison, and T. Lewellen, “The use of importance sampling techniques to improve the efficiency of photon tracking in emission tomography simulations,” Med. Phys. 18(5), 990–1001 (1991).
43.A. M. Alessio, C. W. Stearns, S. Tong, S. G. Ross, S. Kohlmyer, A. Ganin, and P. E. Kinahan, “Application and evaluation of a measured spatially variant system model for PET image reconstruction,” IEEE Trans. Med. Imaging 29(3), 938–949 (2010).
44.S. C. Cherry, J. A. Sorenson, and M. E. Phelps, Physics in Nuclear Medicine (Saunders, Philadelphia, 2003).
Article metrics loading...
Full text loading...
Most read this month