A rebinning technique for 3D reconstruction of Compton camera data

被引:0
|
作者
Li, JQ [1 ]
Valentine, JD [1 ]
Aarsvold, JN [1 ]
Khamzin, M [1 ]
机构
[1] Georgia Inst Technol, Neely Nucl Res Ctr, Nucl & Radiol Engn Program, Atlanta, GA 30332 USA
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A newly developed 3D image reconstruction technique for Compton cameras is described. For Compton cameras, the energies and positions of gamma-ray interactions in two detector systems from a single incident photon are recorded using coincidence techniques. Based on this information, the Compton scattering formula establishes a cone surface from which the incident photon must have originated. Instead of projecting the entire cone surface into the image space as is typically done, a number of lines on the cone surface are sampled. All the lines start from the apex of the cone and are evenly distributed over the cone surface. The number of lines on each cone is determined by the desired spatial resolution. A series of imaginary planes are then constructed such that all solid angles (4pi) that the Compton camera system holds. Each line is then projected to one plane that is mostly perpendicular to this line. The imaginary planes are predefined and grouped into a number of groups with each group having all its planes rotating along one axis. Each group of planes can be treated as the standard SPECT projection data set and one image can be reconstructed using filtered backprojection algorithm. Each group of planes can reconstruct one low statistical image with its specific orientation. Rotating and summing all the images together give the final image.
引用
收藏
页码:1877 / 1881
页数:5
相关论文
共 50 条
  • [1] 3D Reconstruction Optimization for Compton Camera Events
    Mikeli, M.
    Zioga, M.
    Eleftheriou, A.
    Pafilis, Ch.
    Rapsomanikis, A. -N.
    Stiliaris, E.
    [J]. 2015 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2015,
  • [2] 3D image reconstruction for a Compton SPECT camera model
    Univ of Michigan, Ann Arbor, United States
    [J]. IEEE Trans Nucl Sci, 6 III (2075-2084):
  • [3] 3D image reconstruction for a Compton SPECT camera model
    Sauve, AC
    Hero, AO
    Rogers, WL
    Wilderman, SJ
    Clinthorne, NH
    [J]. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1999, 46 (06) : 2075 - 2084
  • [4] Fourier rebinning applied to 3-D reconstruction in Compton imaging
    Lee, Mi No
    Lee, Soo-Jin
    Kim, Kyeong Min
    [J]. JOURNAL OF NUCLEAR MEDICINE, 2011, 52
  • [5] Simulated One Pass Listmode for Fully 3D Image Reconstruction of Compton Camera Data
    Gillam, J. E.
    Oliver, J. F.
    Torres-Espallardo, I.
    Lacasta, C.
    Llosa, G.
    Trovato, M.
    Barrio, J.
    Cabello, J.
    Stankova, V.
    Solaz, C.
    Rafecas, M.
    [J]. 2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC), 2012, : 3298 - 3305
  • [6] Development of compact Compton camera for 3D image reconstruction of radioactive contamination
    Sato, Y.
    Terasaka, Y.
    Ozawa, S.
    Miyamura, H. Nakamura
    Kaburagi, M.
    Tanifuji, Y.
    Kawabata, K.
    Torii, T.
    [J]. JOURNAL OF INSTRUMENTATION, 2017, 12
  • [7] Rebinning and reconstruction techniques for 3D TOF-PET
    Vandenberghe, Stefaan
    Karp, Joel
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2006, 569 (02): : 421 - 424
  • [8] A new rebinning algorithm for 3D PET data
    Erlandsson, Kjell
    van Heertum, Ronald
    Mann, J. John
    [J]. 2006 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOL 1-6, 2006, : 3346 - 3350
  • [9] Data rebinning and reconstruction in 3D PET/CT oncological studies: a Monte Carlo evaluation
    Rizzo, G
    Castiglioni, I
    Russo, G
    Gilardi, MC
    Panzacchi, A
    Fazio, F
    [J]. 2004 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-7, 2004, : 3109 - 3112
  • [10] Reconstruction algorithm for 3D Compton scattering imaging with incomplete data
    Rigaud, G.
    Hahn, B. N.
    [J]. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2021, 29 (07) : 967 - 989