Constructing reliable parametric images using enhanced GLLS for dynamic SPECT

IEEE Transactions on Biomedical Engineering

Volumn 56, Issue 4, 2009, Pages 1117-1126

  Wen, Lingfeng ^a,b,c   Eberl, Stefan ^a,b   Fulham, Michael J ^a,b   Feng, Dagan ^b,c,d   Bai, Jing ^e  

^a ROYAL PRINCE ALFRED HOSPITAL   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^d SHANGHAI JIAO TONG UNIVERSITY   (China)

^e TSINGHUA UNIVERSITY   (China)

Author keywords

Least square methods; Parameter estimation; Simulation; Single photon emission computed tomography (SPECT)

Indexed keywords

BEST ESTIMATES; COMPUTATION TIME; DATA SETS; DISTRIBUTION VOLUME; DYNAMIC PROJECTION; DYNAMIC SPECT; HIGH SIGNAL-TO-NOISE RATIO; IMAGE DATA; IMAGING DATA; LEAST SQUARE METHODS; LINEAR LEAST SQUARES; LOW SNR; MONTE CARLO; MONTE CARLO SIMULATION; PARAMETRIC IMAGE; PRIOR ESTIMATES; QUANTITATIVE DYNAMICS; RESAMPLING; RESAMPLING TECHNIQUE; RESOLUTION RECOVERY; SIMULATION; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY (SPECT);

ACOUSTIC INTENSITY; COMPUTERIZED TOMOGRAPHY; CURVE FITTING; FADING (RADIO); METAL ANALYSIS; MONTE CARLO METHODS; PARAMETER ESTIMATION; PARTICLE BEAMS; PHOTONS; POSITRON EMISSION TOMOGRAPHY; SIGNAL TO NOISE RATIO;

SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY;

ARTICLE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; LINEAR REGRESSION ANALYSIS; MONTE CARLO METHOD; OPTICAL RESOLUTION; PARAMETER; PHANTOM; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY;

ALGORITHMS; ANIMALS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; PAPIO; PHANTOMS, IMAGING; TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;

EID: 67149130142     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.2009998     Document Type: Article

References (21)

1. S.-C. Huang, M. E. Phelps, E. J. Hoffman, K. Sideris, C. Selin, and D. E. Kuhl, "Noninvasive determination of local cerebral metabolic rate of glucose in man," Amer. J. Physiol., vol. 238, pp. E69-E82, 1980.
2. C. Patlak and R. G. Blasberg, "Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations," J. Cereb. Blood Flow Metab., vol. 5, pp. 584-590, 1985.
3. 11 C] Raclopride binding in the brain: Model simulations and kinetic analysis of PET data," J. Cereb. Blood Flow Metab., vol. 14, pp. 995-1010, 1994.
4. D. Feng, Z. Wang, and S.-C. Huang, "A study on statistically reliable and computationally efficient algorithms for generating local cerebral blood flow parametric image with positron emission tomography," IEEE Trans. Med. Imag., vol. 12, no. 2, pp. 182-188, Jun. 1993.
5. D. Feng, S.-C. Huang, Z. Wang, and D. Ho, "An unbiased parametric imaging algorithm for nonuniformly sampled biomedical system parameter estimation," IEEE Trans. Med. Imag., vol. 15, no. 4, pp. 512-518, Aug. 1996.
6. K. Chen, M. Lawson, E. Reiman, A. Cooper, D. Feng, S.-C. Huang, D. Bandy, D. Ho, L.-S. Yun, and A. Palant, "Generalized linear least squares method for fast generation of myocardial blood flow parametric images with N-13 ammonia PET," IEEE Trans. Med. Imag., vol. 17, no. 2, pp. 236-243, Apr. 1998.
7. H.-C. Choi, S. Chen, D. Feng, and K. P. Wong, "Fast parametric imaging algorithm for dual-input biomedical system parameter estimation," Comput. Methods Programs Biomed., vol. 81, pp. 49-55, 2006.
8. L. Wen, S. Eberl, K. P. Wong, D. Feng, and J. Bai, "Effect of reconstruction and filtering on kinetic parameter estimation bias and reliability for dynamic SPECT: A simulation study," IEEE Trans. Nucl. Sci., vol. 52, no. 1, pp. 69-78, Feb. 2005.
9. L. Wen, S. Eberl, H.-C. Choi, D. Feng, and M. Fulham, "Enhanced parameter estimation methods for noisy SPECT data," Comput. Methods Programs Biomed., vol. 89, pp. 102-111, 2008.
10. D. Feng, D. Ho, K. Chen, L.-C. Wu, J.-K. Wang, R.-S. Liu, and S.-H. Yeh, "An evaluation of the algorithms for determining local cerebral metabolic rates ofglucose using positron emission tomography dynamic data," IEEE Trans. Med. Imag., vol. 14, no. 4, pp. 697-710, Dec. 1995.
11. H.-C. Choi, L. Wen, S. Eberl, and D. Feng, "Methods for improving reliability of GLLS for parametric image generation," presented at the 6th IFAC Symp. Modelling Contr. Biomed. Syst., Reims, France, 2006.
12. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C: The Art of Scientific Computing, 2nd ed. Cambridge, U.K.: Cambridge Univ. Press, 1992.
13. I. G. Zubal, C. R. Harrell, E. O. Smith, Z. Rattner, G. Gindi, and P. B. Hoffer, "Computerized 3-dimensional segmented human anatomy," Med. Phys., vol. 21, pp. 299-302, 1994.
14. T. K. Lewellen, R. L. Harrison, and S. Vannoy, "The Simset program," in Monte Carlo Calculations in Nuclear Medicine, Medical Science Series, M. Liungberg, S. E. Strand, and M. A. King, Eds. Bristol, PA: Institute of Physics Publishing, 1998, pp. 77-92.
15. M. Kassiou, S. Eberl, S. R. Meikle, A. Birrell, C. Constable, M. J. Fulham, D. F. Wong, and J. L. Musachio, "In vivo imaging of nicotinic receptor upregulation following chronic (-)-nicotine treatment in baboon using SPECT," Nuclear Med. Biol., vol. 28, pp. 165-175, 2001.
16. S. R. Meikle, B. F. Hutton, and D. L. Bailey, "A transmission-dependent method for scatter correction in SPECT," J. Nuclear Med., vol. 35, pp. 360-367, 1994.
17. H. Iida, Y. Narita, H. Kado, A. Kashikura, S. Sugawara, Y. Shoji, T. Kinoshita, T. Ogawa, and S. Eberl, "Effects of scatter and attenuation correction on quantitative assessment of regional cerebral blood flow with SPECT," J. Nuclear Med., vol. 39, pp. 181-189, 1998.
18. H. M. Hudson and R. S. Larkin, "Accelerated image reconstruction using ordered subsets of projection data," IEEE Trans. Med. Imag., vol. 13, no. 4, pp. 601-609, Dec. 1994.
19. L. Wen, S. Eberl, D. Feng, W. Cai, and J. Bai, "Fast and reliable estimation of multiple parametric images using an integrated method for dynamic SPECT," IEEE Trans. Med. Imag., vol. 26, no. 2, pp. 179-189, Feb. 2007.
20. I. Buvat, "A non-parametric bootstrap approach for analysing the statistical properties of SPECT and PET images," Phys. Med. Biol., vol. 47, pp. 1761-1775, 2002.
21. M. Dahlbom, "Estimation of image noise in PET using bootstrap method," IEEE Trans. Nucl. Sci., vol. 49, no. 5, pp. 2062-2066, Oct. 2003.