Fast Energy Dependent Scatter Correction for List-Mode PET Data

被引：7
作者：
Alvarez-Gomez, Juan Manuel [1 ]
Santos-Blasco, Joaquin [1 ]
Moliner Martinez, Laura [1 ]
Rodriguez-Alvarez, Maria Jose [1 ]
机构：
[1] Univ Politecn Valencia, Inst Instrumentac Imagen Mol I3M, CSIC, Ctr Mixto, Valencia 46022, Spain
来源：
JOURNAL OF IMAGING | 2021年 / 7卷 / 10期
关键词：
list-mode; positron emission tomography (PET); energy-based scatter correction; Monte Carlo simulation; 3D BRAIN PET; IMAGE-RECONSTRUCTION; COMPENSATION;
D O I：
10.3390/jimaging7100199
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
Improvements in energy resolution of modern positron emission tomography (PET) detectors have created opportunities to implement energy-based scatter correction algorithms. Here, we use the energy information of auxiliary windows to estimate the scatter component. Our method is directly implemented in an iterative reconstruction algorithm, generating a scatter-corrected image without the need for sinograms. The purpose was to implement a fast energy-based scatter correction method on list-mode PET data, when it was not possible to use an attenuation map as a practical approach for the scatter degradation. The proposed method was evaluated using Monte Carlo simulations of various digital phantoms. It accurately estimated the scatter fraction distribution, and improved the image contrast in the simulated studied cases. We conclude that the proposed scatter correction method could effectively correct the scattered events, including multiple scatters and those originated in sources outside the field of view.
引用
收藏
页数：13
相关论文
共 44 条
[1]   Energy-based scatter correction for 3-D PET scanners using NaI(Tl) detectors [J].
Adam, LE ;
Karp, JS ;
Freifelder, R .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2000, 19 (05) :513-521
[2]   ROOT - A C++ framework for petabyte data storage, statistical analysis and visualization [J].
Antcheva, I. ;
Ballintijn, M. ;
Bellenot, B. ;
Biskup, M. ;
Brun, R. ;
Buncic, N. ;
Canal, Ph ;
Casadei, D. ;
Couet, O. ;
Fine, V. ;
Franco, L. ;
Ganis, G. ;
Gheata, A. ;
Maline, D. Gonzalez ;
Goto, M. ;
Iwaszkiewicz, J. ;
Kreshuk, A. ;
Segura, D. Marcos ;
Maunder, R. ;
Moneta, L. ;
Naumann, A. ;
Offermann, E. ;
Onuchin, V. ;
Panacek, S. ;
Rademakers, F. ;
Russo, P. ;
Tadel, M. .
COMPUTER PHYSICS COMMUNICATIONS, 2011, 182 (06) :1384-1385
[3]   Scatter compensation methods in 3D iterative SPECT reconstruction: A simulation study [J].
Beekman, FJ ;
Kamphuis, C ;
Frey, EC .
PHYSICS IN MEDICINE AND BIOLOGY, 1997, 42 (08) :1619-1632
[4]   Algorithms for joint activity-attenuation estimation from positron emission tomography scatter [J].
Berker, Yannick ;
Schulz, Volkmar ;
Karp, Joel S. .
EJNMMI PHYSICS, 2019, 6 (01)
[5]   Numerical Algorithms for Scatter-to-Attenuation Reconstruction in PET: Empirical Comparison of Convergence, Acceleration, and the Effect of Subsets [J].
Berker Y. ;
Karp J.S. ;
Schulz V. .
IEEE Transactions on Radiation and Plasma Medical Sciences, 2017, 1 (05) :426-434
[6]   Scattered PET data for attenuation-map reconstruction in PET/MRI [J].
Berker, Yannick ;
Kiessling, Fabian ;
Schulz, Volkmar .
MEDICAL PHYSICS, 2014, 41 (10)
[7]  
Bong JK, 2005, IEEE T NUCL SCI, V52, P1263, DOI [10.1109/TNS.2005.858202, 10.1109/TNS.858202]
[8]   Bayesian reconstruction and use of anatomical a Priori information for emission tomography [J].
Bowsher, JE ;
Johnson, VE ;
Turkington, TG ;
Jaszczak, RJ ;
Floyd, CE ;
Coleman, RE .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1996, 15 (05) :673-686
[9]  
Brusaferri L, 2017, IEEE NUCL SCI CONF R
[10]   A fast, energy-dependent scatter reduction method for 3D PET imaging [J].
Chen, HT ;
Kao, CN ;
Chen, CT .
2003 IEEE NUCLEAR SCIENCE SYMPOSIUM, CONFERENCE RECORD, VOLS 1-5, 2004, :2630-2634
12345