Multidimensional B-spline parameterization of the detection probability of the PET scanner Biograph 16 using GATE

被引:1
|
作者
Rehfeld, Niklas S. [1 ]
Vauclin, Sebastien [2 ]
Stute, Simon [1 ]
Buvat, Irene [1 ]
机构
[1] Paris 11 Univ, Paris 7 Univ, CNRS, IMNC,UMR 8165, 15 Rue Georges Clemenceau, F-91406 Orsay, France
[2] Univ Rouen, LITIS EA Lab, Rouen, France
关键词
RECONSTRUCTION;
D O I
10.1109/NSSMIC.2009.5402443
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
GATE (Geant4 Application for Emission Tomography) [I] is a widespread, well validated and very versatile application for Monte Carlo simulations in emission tomography. It allows very detailed simulations of positron emission tomography (PET) or single photon emission computed tomography (SPECT) scanners using the general purpose Monte Carlo code Geant4 [2], [3]. We present a method to accelerate GATE simulations when on the one hand the detection probability in the different crystals needs to be computed accurately taking into account the complex geometry of the detection system and on the other hand information on photon statistics is not required. The simulation is split into two parts. Inside the scanner (phantom or voxelized patient) the particles are tracked conventionally. When a particle leaves the phantom, the particle is transported to a virtual boundary that replaces the detection system in the simulation and the detection proability is calculated analytically by evaluating a multi-dimensional B-spline function taking into account the state of the photon on this virual border (position, incident angles, energy). The B-spline function itself is calculated by performing a conventional Monte Carlo simulation. This "pre"simulation needs to be performed only once for each scanner type. The presented method was tested by simulating the PET scanner Biograph HiREZ and using a realistic voxelized attenuation phantom. The results show good agreement between conventional GATE simulations and simulations using the B-spline. The simulations could be accerelated by a factor of around 23 yielding the same statistical accuracy.
引用
收藏
页码:4197 / +
页数:2
相关论文
共 50 条
  • [31] Deformation Analysis Using B-Spline Surface with Correlated Terrestrial Laser Scanner Observations-A Bridge Under Load
    Kermarrec, Gael
    Kargoll, Boris
    Alkhatib, Hamza
    REMOTE SENSING, 2020, 12 (05)
  • [32] Fault detection and diagnosis for general stochastic systems using B-spline expansions and nonlinear filters
    Guo, L
    Wang, H
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2005, 52 (08) : 1644 - 1652
  • [33] DETECTION AND LOCALIZATION OF DELAMINATIONS IN COMPOSITE BEAMS USING FRACTIONAL B-SPLINE WAVELETS WITH OPTIMIZED PARAMETERS
    Katunin, Andrzej
    Przystalka, Piotr
    EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2014, 16 (03): : 391 - 399
  • [34] Detection and localization of delaminations in composite beams using fractional B-spline wavelets with optimized parameters
    Detekcja i lokalizacja rozwarstwień w kompozytowych belkach z wykorzystaniem B-splajnowych falek ulamkowych z optymalizowanymi parametrami
    1600, Polish Academy of Sciences Branch Lublin (16):
  • [35] Minimization of higher back-EMF harmonics in permanent magnet motor using shape design sensitivity with B-spline parameterization
    Lee, JH
    Kim, DH
    Park, IH
    IEEE TRANSACTIONS ON MAGNETICS, 2003, 39 (03) : 1269 - 1272
  • [36] Image Detection of Rice Fissures Using Biorthogonal B-Spline Wavelets in Multi-resolution Spaces
    Ping Lin
    Yongming Chen
    Yidan Bao
    Yong He
    Food and Bioprocess Technology, 2012, 5 : 2017 - 2024
  • [37] Polarimetric SAR region boundary detection using B-spline deformable countours under the GH model
    Gambini, J
    Mejail, ME
    Jacobo-Berlles, J
    Frery, AC
    SIBGRAPI 2005: XVIII BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, CONFERENCE PROCEEDINGS, 2005, : 197 - 204
  • [38] Image Detection of Rice Fissures Using Biorthogonal B-Spline Wavelets in Multi-resolution Spaces
    Lin, Ping
    Chen, Yongming
    Bao, Yidan
    He, Yong
    FOOD AND BIOPROCESS TECHNOLOGY, 2012, 5 (05) : 2017 - 2024
  • [39] A MAP framework for tag line detection in SPAMM data using Markov random fields on the B-spline solid
    Chen, YS
    Amini, AA
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2002, 21 (09) : 1110 - 1122
  • [40] SAR image edge detection using multi-scale and fusion method based on B-spline wavelet
    Zhang, Huai-Li
    Ni, Guo-Qiang
    Xu, Ting-Fa
    Hao, Qi-Wei
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2008, 28 (SUPPL.): : 103 - 106