A fully 3D OS-MLEM reconstruction algorithm accounting for the point spread function of a PET system

被引：0
|
作者：
Rapisarda, E. [1 ,2 ,3 ]
Bettinardi, V. [1 ,2 ]
Thielemans, K. [4 ]
Gilardi, M. C. [1 ,2 ,3 ]
机构：
[1] Ist Sci San Raffaele, I-20132 Milan, Italy
[2] CNR, Inst Bioimaging & Mol Physiol, Segrate, MI, Italy
[3] Univ Milano Bicocca, Milan, Italy
[4] GE Healthcare, Hammersmith Imanet, London, England
来源：
NUCLEAR PHYSICS B-PROCEEDINGS SUPPLEMENTS | 2011年 / 215卷
关键词：
D O I：
10.1016/j.nuclphysbps.2011.03.128
中图分类号：
O412 [相对论、场论]; O572.2 [粒子物理学];
学科分类号：
摘要：
This work describes the implementation of the Point Spread Function in an iterative reconstruction algorithm for PET and presents some validation results on the new algorithm. A new prior for a variational regularization is also proposed to control the noise and to allow the number of iterations to be increased.
引用
收藏
页码：37 / 40
页数：4
相关论文
共 50 条
  • [1] Implementation and evaluation of a fully 3D OS-MLEM reconstruction algorithm accounting for the PSF of the PET imaging system
    Rapisarda, E.
    Bettinardi, V.
    Thielemans, K.
    Gilardi, M. C.
    NUCLEAR PHYSICS B-PROCEEDINGS SUPPLEMENTS, 2009, 197 : 190 - 193
  • [2] Image-based point spread function implementation in a fully 3D OSEM reconstruction algorithm for PET
    Rapisarda, E.
    Bettinardi, V.
    Thielemans, K.
    Gilardi, M. C.
    PHYSICS IN MEDICINE AND BIOLOGY, 2010, 55 (14): : 4131 - 4151
  • [3] 3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm
    Slomski, Artur
    Rudy, Zbigniew
    Bednarski, Tomasz
    Bialas, Piotr
    Czerwinski, Eryk
    Kaplon, Lukasz
    Kochanowski, Andrzej
    Korcyl, Grzegorz
    Kowal, Jakub
    Kowalski, Pawel
    Kozik, Tomasz
    Krzemien, Wojciech
    Molenda, Marcin
    Moskal, Pawel
    Niedzwiecki, Szymon
    Palka, Marek
    Pawlik, Monika
    Raczynski, Lech
    Salabura, Piotr
    Gupta-Sharma, Neha
    Silarski, Michal
    Smyrski, Jerzy
    Strzelecki, Adam
    Wislicki, Wojciech
    Zielinski, Marcin
    Zon, Natalia
    BIO-ALGORITHMS AND MED-SYSTEMS, 2014, 10 (01) : 1 - 7
  • [4] Fully 3D GPU PET reconstruction
    Herraiz, J. L.
    Espana, S.
    Cal-Gonzalez, J.
    Vaquero, J. J.
    Desco, M.
    Udias, J. M.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2011, 648 : S169 - S171
  • [5] Performance of a fast maximum likelihood algorithm for fully 3D pet reconstruction
    Matej, S
    Browne, JA
    THREE-DIMENSIONAL IMAGE RECONSTRUCTION IN RADIOLOGY AND NUCLEAR MEDICINE, 1996, 4 : 297 - 315
  • [6] Maximum likelihood reconstruction in fully 3D PET via the SAGE algorithm
    Ollinger, JM
    Goggin, AS
    1996 IEEE NUCLEAR SCIENCE SYMPOSIUM - CONFERENCE RECORD, VOLS 1-3, 1997, : 1594 - 1598
  • [7] Ultrafast Preconditioned Conjugate Gradient OSEM Algorithm for Fully 3D PET Reconstruction
    Hong, I. K.
    Burbar, Z.
    Michel, C.
    Leahy, R.
    2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2010, : 2418 - +
  • [8] 3D point spread function in spiral CT
    Goodenough, DJ
    Levy, JR
    RADIOLOGY, 1997, 205 : 311 - 311
  • [9] Optimization of the Algorithm for the Implementation of Point Spread Function in the 3D-OSEM Reconstruction Algorithm Based on the List-Mode Micro PET Data
    Zhao, Jie
    Song, Yunfeng
    Liu, Qiong
    Chen, Shijie
    Chen, Jyh-Cheng
    ELECTRONICS, 2023, 12 (06)
  • [10] 3D PET reconstruction with FORE and WLS-OS-EM
    Stearns, CW
    Fessler, JA
    2002 IEEE NUCLEAR SCIENCE SYMPOSIUM, CONFERENCE RECORD, VOLS 1-3, 2003, : 912 - 915
12345