Rapid calculation of detectability in Bayesian single photon emission computed tomography

Physics in Medicine and Biology

Volumn 48, Issue 22, 2003, Pages 3755-3773

  Xing, Yuxiang ^a,c   Hsiao, Ing Tsung ^b   Gindi, Gene ^a  

^a USA   (United States)

^b CHANG GUNG UNIVERSITY   (Taiwan)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL METHODS; HUMAN ENGINEERING; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MONTE CARLO METHODS; PHOTONS; SIGNAL TO NOISE RATIO;

IMAGE COVARIANCE; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY (SPECT);

COMPUTERIZED TOMOGRAPHY;

ARTICLE; BAYES THEOREM; CALCULATION; COVARIANCE; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; IMAGE RECONSTRUCTION; MATHEMATICAL MODEL; MONTE CARLO METHOD; PRIORITY JOURNAL; RADIATION ATTENUATION; SAMPLE; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; TIME;

ALGORITHMS; BAYES THEOREM; HUMANS; MODELS, THEORETICAL; TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;

EID: 0345329317     PISSN: 00319155     EISSN: None     Source Type: Journal    
DOI: 10.1088/0031-9155/48/22/009     Document Type: Article

References (26)

1. Abbey C K and Barrett H H 2001 Human- and model-observer performance in ramp-spectrum noise: effects of regularization and object variability J. Opt. Soc. Am. A 18 473-88
2. Barrett H H, Yao J, Rolland J P and Myers K J 1993 Model observers for assessment of image quality Proc. Natl Acad. Sci. USA 90 9758-65
3. Boccacci P, Bonetto P, Calvini P and Formiconi A R 1999 A simple model for the efficient correction of collimator blur in 3D SPECT imaging Inverse Problems 15 907-30
4. Bonetto P, Qi J and Leahy R M 2000 Covariance approximation for fast and accurate computation of channelized Hotelling observer statistics IEEE Trans. Nucl. Sci. 47 1567-72
5. Burgess A 1985 Effect of quantization noise on visual signal detection in noisy images J. Opt. Soc. Am. A 2 1424-8
6. Burgess A 1986 On observer internal noise Appl. of Opt. Instrumentation in Medicine XIV and Picture Archiving and Comm. Sys., SPIE vol 626, ed R H Schneider and S J Dwyer III, pp 208-13
7. Farncombe T H, Gifford H C, Narayanan M V, Pretorius P H, Bruyant P, Gennert M and King M A 2002 An optimization of reconstruction parameters and investigation into the impact of photon scatter in Ga-67 SPECT IEEE Trans. Nucl. Sci. 49 2148-54
8. Fessler J A 1996 Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography IEEE Trans. Image Process. 5 493-506
9. Fessler J A and Booth S C 1999 Conjugate-gradient preconditioning methods for shift-variant PET image reconstruction IEEE Trans. Image Process. 8 688-99
10. Fessler J A and Rogers W L 1996 Spatial resolution properties of penalized-likelihood image reconstruction: space-invariant tomographs IEEE Trans. Image Process. 5 1346-58
11. Gifford H C, King M A, Narayanan M V, Pretorius P H, Smyczynski M S and Wells R G 2002 Effect of block-iterative acceleration on Ga-67 tumor detection in thoracic SPECT IEEE Trans. Nucl. Sci. 49 50-5
12. Gifford H C, King M A, de Vries D J and Soares E J 2000 Channelized Hotelling and human observer correlation for lesion detection in hepatic SPECT imaging J. Nucl. Med. 41 514-21
13. Jain A K 1989 Fundamentals of Digital Image Processing (London: Prentice-Hall)
14. Llacer J, Veklerov E, Baxter L R, Grafton S T, Griffeth L K, Hawkins R A, Hoh C K, Mazziotta J C, Hoffman E J and Metz C E 1993 Results of a clinical receiver operating characteristic study comparing filtered backprojection and maximum likelihood estimator images in FDG PET studies J. Nucl. Med. 34 1198-203
15. Press W H, Teukolsky S A, Vetterling W T and Flannery B P 1992 Numerical Recipes in C 2nd edn (Cambridge: Cambridge University Press)
16. Qi J and Huesman R H 2001 Theoretical study of lesion detectability of MAP reconstruction using computer observers IEEE Trans. Med. Imaging 20 815-22
17. Qi J and Leahy R M 1999 A theoretical study of the contrast recovery and variance of MAP reconstructions from PET data IEEE Trans. Med. Imaging 18 293-305
18. Qi J and Leahy R M 2000 Resolution and noise properties of MAP reconstruction for fully 3-D PET IEEE Trans. Med. Imaging 19 493-505
19. Sain J D and Barrett H H 2003 Performance evaluation of a modular gamma camera using a detectability index J. Nucl. Med. 44 58-66
20. Stayman J W and Fessler J A 2002 Fast methods for approximation of resolution and covariance for SPECT Conf. Rec. IEEE Nuc. Sci. Sym. Med. Imag. Conf. (Norfolk, VA) p M3-146
21. Wang W and Gindi G R 1997 Noise analysis of MAP-EM algorithms for emission tomography Phys. Med. Biol. 42 2215-32
22. Xing Y and Gindi G 2002 Rapid calculation of detectability in Bayesian SPECT Proc. IEEE Int. Symp. on Biomed. Imaging (Washington, DC) pp 78-81
23. Xing Y, Hsiao I T and Gindi G 2001 Efficient calculation of resolution and variance in 2D circular-orbit SPECT Conf. Rec. IEEE Nucl. Sci. Sym. Med. Imag. Conf. (San Diego) vol 3, pp 1298-302
24. Yao J and Barrett H H 1992 Predicting human performance by a channelized Hotelling observer model Math. Methods Med. Imaging, SPIE vol 1768, pp 161-8
25. Zeng G L, Gullberg G T, Bai C, Christian P E, Trisjono F, Bella E V R D, Tanner J W and Morgan H T 1998 Iterative reconstruction of fluorine-18 SPECT using geometric point response correction J. Nucl. Med. 39 124-30
26. Zoubir A M and Boashash B 1998 The bootstrap and its application in signal processing IEEE Signal Process. Mag. 15 56-76