Tracer kinetics guided dynamic PET reconstruction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4584 LNCS, Issue , 2007, Pages 421-433

  Tong, Shan ^a   Shi, Pengcheng ^a,b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b SOUTHERN MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; POSITRON EMISSION TOMOGRAPHY; SIGNAL TO NOISE RATIO; STATE ESTIMATION; STATE SPACE METHODS;

CONTINUOUS-TIME SYSTEM EQUATION; MEASUREMENT STATISTICS; SYSTEM UNCERTAINTY;

IMAGE RECONSTRUCTION;

DIAGNOSTIC AGENT; RADIOPHARMACEUTICAL AGENT;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE QUALITY; INSTRUMENTATION; ISOTOPE DILUTION ASSAY; KINETICS; METHODOLOGY; POSITRON EMISSION TOMOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KINETICS; MODELS, BIOLOGICAL; PHANTOMS, IMAGING; POSITRON-EMISSION TOMOGRAPHY; RADIOISOTOPE DILUTION TECHNIQUE; RADIOPHARMACEUTICALS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34548428787     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73273-0_35     Document Type: Conference Paper

References (15)

1. Phelps, M.E.: PET: molecular imaging and its biological applications. Springer, New York (2004)
2. Leahy, R.M., Qi, J.: Statistical approaches in quantitative positron emission tomography. Statistics and Computing 10(2), 147-165 (2000)
3. Lewitt, R.M., Matej, S.: Overview of methods for image reconstruction from projections in emission computed tomography. Proceedings of the IEEE, 91 pp. 1588-1611 (2003)
4. Yavuz, M., Fessler, J.: Statistical image reconstruction methods for randomsprecorrected PET scans. Medical Image Analysis 2(4), 369-378 (1998)
5. Green, P.: Bayesian reconstructions from emission tomography data using a modified EM algorithm. IEEE Transactions on Medical Imaging 9(1), 84-93 (1990)
6. Bowsher, J.E., Johnson, V.E., Turkington, T.G., Jaszczak, R.J., Floyd, C.E., Coleman, R.E.: Bayesian reconstruction and use of anatomical a priori information for emission tomography. IEEE Transactions on Medical Imaging 15, 673-686 (1996)
7. Wernick, M.N., Infusino, E.J., Milosevic, M.: Fast spatio-temporal image reconstruction for dynamic PET. IEEE Transactions on Medical Imaging 18, 185-195 (1999)
8. Nichols, T.E., Qi, J., Asma, E., Leahy, R.M.: Spatiotemporal reconstruction of list-mode PET data. IEEE Transactions on Medical Imaging 21, 396-404 (2002)
9. Cobelli, C., Foster, D., Toffolo, G.: Tracer Kinetics in Biomedical Research. Kluwer Academic/Plenum Publishers, New York (2000)
10. Wong, K., Feng, D., Meikle, S., Fulham, M.: Simultaneous estimation of physiological parameters and the input function - in vivo PET data. IEEE Transactions on Information Technology In: Biomedcine. 5, 67-76 (2001)
11. Kamasak, M.E., Bouman, CA., Morris, E.D., Sauer, K.: Direct reconstruction of kinetic parameter images from dynamic PET data. IEEE Transactions on Medical Imaging 24(5), 636-650 (2005)
12. Liu, H., Tian, Y., Shi, P.: Pet image reconstruction: A robust state space approach. In: Information Processing in Medical Imaging, 197-209 (2005)
13. Sun, W., Nagpal, K.M., Khargonekar, P.: H ∞ control and filtering for sampleddata systems. IEEE Transactions on Automatic Control 38, 1162-1175 (1993)
14. Schiff, J., Shnider, S.: A natural approach to the numerical integration of Riccati differential equations. SIAM Journal on Numerical Analysis 36, 1392-1413 (1996)
15. Li, X., Feng, D., Lin, K., Huang, S.: Estimation of myocardial glucose utilization with PET using the left ventricular time-activity curve as a noninvasive input function. Medical and Biological Engineering and Computing 36, 112-117 (1998)