Modeling and incorporation of system response functions in 3-D whole body PET

被引:141
作者
Alessio, Adam M. [1 ]
Kinahan, Paul E. [1 ]
Lewellen, Thomas K. [1 ]
机构
[1] Univ Washington, Med Ctr, Dept Radiol, Seattle, WA 98195 USA
关键词
detector response; Fourier rebinning (FORE); fully three-dimensional (3-D) positron emission tomography; (PET); system model; system response;
D O I
10.1109/TMI.2006.873222
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Appropriate application of spatially variant system models can correct for degraded resolution response and mispositioning errors. This paper explores the detector blurring component of the system model for a whole body positron emission tomography (PET) system and extends this factor into a more general system response function to account for other system effects including the influence of Fourier rebinning (FORE). We model the system response function as a three-dimensional (3-D) function that blurs in the radial and axial dimension and is spatially variant in radial location. This function is derived from Monte Carlo simulations and incorporates inter-crystal scatter, crystal penetration, and the blurring due to the FORE algorithm. The improved system model is applied in a modified ordered subsets expectation maximization (OSEM) algorithm to reconstruct images from rebinned, fully 3-D PET data. The proposed method effectively removes the spatial variance in the resolution response, as shown in simulations of point sources. Furthermore, simulation and measured studies show the proposed method improves quantitative accuracy with a reduction in tumor bias compared to conventional OSEM on the order of 10%-30% depending on tumor size and smoothing parameter.
引用
收藏
页码:828 / 837
页数:10
相关论文
共 23 条
[1]   Implementation of Monte Carlo coincident aperture functions in image generation of a high-resolution animal positron tomograph [J].
Böning, G ;
Pichler, BJ ;
Rafecas, M ;
Lorenz, E ;
Schwaiger, M ;
Ziegler, SI .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2001, 48 (03) :805-810
[2]  
Comtat C, 1999, IEEE NUCL SCI CONF R, P1260, DOI 10.1109/NSSMIC.1999.842786
[3]  
Daube-Witherspoon ME, 2002, J NUCL MED, V43, P1398
[4]   Improving PET image spatial resolution by experimental measurement of scanner blurring properties [J].
De Bernardi, E ;
Zito, F ;
Michelutti, L ;
Mainardi, L ;
Gerundini, P ;
Baselli, G .
PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH, 2003, 25 :975-977
[5]   Exact and approximate rebinning algorithms for 3-D PET data [J].
Defrise, M ;
Kinahan, PE ;
Townsend, DW ;
Michel, C ;
Sibomana, M ;
Newport, DF .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1997, 16 (02) :145-158
[6]  
DEGRADO TR, 1994, J NUCL MED, V35, P1398
[7]   Quantitative comparison of FBP, EM, and Bayesian reconstruction algorithms for the IndyPET scanner [J].
Frese, T ;
Rouze, NC ;
Bouman, CA ;
Sauer, K ;
Hutchins, GD .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2003, 22 (02) :258-276
[8]   ACCELERATED IMAGE-RECONSTRUCTION USING ORDERED SUBSETS OF PROJECTION DATA [J].
HUDSON, HM ;
LARKIN, RS .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1994, 13 (04) :601-609
[9]   Pragmatic fully 3D image reconstruction for the MiCES mouse imaging PET scanner [J].
Lee, K ;
Kinahan, PE ;
Fessler, JA ;
Miyaoka, RS ;
Janes, M ;
Lewellen, TK .
PHYSICS IN MEDICINE AND BIOLOGY, 2004, 49 (19) :4563-4578
[10]  
LEE K, 2003, P IEEE NUCL SCI S ME