Alignment of 3-dimensional cardiac structures in O-15-labeled water PET emission images with mutual information

被引:4
作者
Juslin, Anu
Lotjonen, Jyrki
Nesterov, Sergey V.
Kalliokoski, Kari
Knuuti, Juhani
Ruotsalainen, Ulla
机构
[1] Tampere Univ Technol, Inst Signal Proc, Tampere 33101, Finland
[2] VTT Informat Technol, Tampere, Finland
[3] Univ Turku, Turku PET Ctr, Turku, Finland
基金
芬兰科学院;
关键词
positron emission tomography; myocardial perfusion; registration; mutual information; independent component analysis;
D O I
10.1016/j.nuclcard.2006.10.020
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background. The aim of this study was to develop a method to correct the heart position between two oxygen 15-labeled water cardiac positron emission tomography (PET) image sets to be able to use the equivalent regions of interest for the quantification of the perfusion values in the same myocardial segments. Methods and Results. Independent component analysis was applied to the dynamic image sets (simulated phantom and 6 rest-pharmacologic stress and 10 rest-rest image sets of healthy female volunteers) acquired at different time points to separate the cardiac structures (ventricles and myocardium). The separated component images from independent component analysis from the 2 studies of the same individual were aligned with a normalized mutual information-based registration method. The alignment parameters were applied to position the regions of interest in the floating image sets for calculation of the myocardial blood flow values. In the rest case the mean myocardial blood flow value was 0.76 +/- 0.12 mL (.) g(-1) (.) min(-1) for the manual method and 0.79 +/- 0.10 mL (.) g(-1). min(-1) for the proposed method (by use of the right ventricle component in the alignment), and in the stress case these values were 3.39 +/- 0.70 mL (.) g(-1) (.) min(-1) and 4.01 +/- 0.71 mL (.) g(-1 .) min(-1), respectively. No statistically significant difference was found between the methods. Conclusion. In the tests with the phantom and patient images the alignment of cardiac structures was shown to be successful. The alignment could be done without the use of information from the myocardial compartment.
引用
收藏
页码:82 / 91
页数:10
相关论文
共 30 条
[1]  
Ahn JY, 2001, J NUCL MED, V42, P782
[2]   Automated image registration of gated cardiac single-photon emission computed tomography and magnetic resonance imaging [J].
Aladl, UE ;
Hurwitz, GA ;
Dey, D ;
Levin, D ;
Drangova, M ;
Slomka, PJ .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2004, 19 (03) :283-290
[3]  
BACHARACH SL, 1993, J NUCL MED, V34, P311
[4]   NONINVASIVE QUANTITATION OF MYOCARDIAL BLOOD-FLOW IN HUMAN-SUBJECTS WITH OXYGEN-15-LABELED WATER AND POSITRON EMISSION TOMOGRAPHY [J].
BERGMANN, SR ;
HERRERO, P ;
MARKHAM, J ;
WEINHEIMER, CJ ;
WALSH, MN .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 1989, 14 (03) :639-652
[5]   Automatic registration and alignment on a template of cardiac stress and rest reoriented SPECT images [J].
Declerck, J ;
Feldmar, J ;
Goris, ML ;
Betting, F .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1997, 16 (06) :727-737
[6]  
GYUTON AC, 1996, TXB MED PHYSL, P200
[7]  
Hermansen F, 1998, J NUCL MED, V39, P1696
[8]   Validating the independent components of neuroimaging time series via clustering and visualization [J].
Himberg, J ;
Hyvärinen, A ;
Esposito, F .
NEUROIMAGE, 2004, 22 (03) :1214-1222
[9]   A fast fixed-point algorithm for independent component analysis [J].
Hyvarinen, A ;
Oja, E .
NEURAL COMPUTATION, 1997, 9 (07) :1483-1492
[10]  
Hyvärinen A, 2001, INDEPENDENT COMPONENT ANALYSIS: PRINCIPLES AND PRACTICE, P71