Improved kinetic analysis of dynamic PET data with optimized HYPR-LR

Medical Physics

Volumn 39, Issue 6, 2012, Pages 3319-3331

  Floberg, John M ^a   Mistretta, Charles A ^a,b   Weichert, Jamey P ^a,b   Hall, Lance T ^b   Holden, James E ^a   Christian, Bradley T ^a  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

denoising; dynamic positron emission tomography; kinetic analysis; parametric images

Indexed keywords

DATA REDUCTION; IMAGE ANALYSIS; KINETICS; MAGNETIC RESONANCE; NUMERICAL METHODS; PARAMETER ESTIMATION; POSITRON EMISSION TOMOGRAPHY; POSITRONS; SIGNAL TO NOISE RATIO;

ABSOLUTE PERFORMANCE; COEFFICIENT OF VARIATION; DE-NOISING; KINETIC ANALYSIS; MAGNETIC RESONANCE ANGIOGRAPHY; PARAMETRIC IMAGE; POSITRON EMISSION TOMOGRAPHY (PET); VARIANCE REDUCTIONS;

IMAGE ENHANCEMENT;

EID: 84863527150     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4718669     Document Type: Article

References (27)

1. C. A. Mistretta, O. Wieben, J. Velikina, W. Block, J. Perry, Y. Wu, K. Johnson, and Y. Wu, Highly constrained backprojection for time-resolved MRI., Magn. Reson. Med. 55, 30-40 (2006). 10.1002/mrm.20772
2. K. M. Johnson, J. Velikina, Y. Wu, S. Kecskemeti, O. Wieben, and C. A. Mistretta, Improved waveform fidelity using local HYPR reconstruction (HYPR LR)., Magn. Reson. Med. 59, 456-462 (2008). 10.1002/mrm.21505
3. Y. Wu, F. R. Korosec, C. A. Mistretta, and O. Wieben, CE-MRA of the lower extremities using HYPR stack-of-stars., J. Magn. Reson. Imaging 29, 917-923 (2009). 10.1002/jmri.21733
4. B. T. Christian, N. T. Vandehey, J. M. Floberg, and C. A. Mistretta, Dynamic PET denoising with HYPR processing., J. Nucl. Med. 51, 1147-1154 (2010). 10.2967/jnumed.109.073999
5. J. C. Price, W. E. Klunk, B. J. Lopresti, X. Lu, J. A. Hoge, S. K. Ziolko, D. P. Holt, C. C. Meltzer, S. T. DeKosky, and C. A. Mathis, Kinetic modeling of amyloid binding in humans using PET imaging and Pittsburgh Compound-B., J. Cereb. Blood Flow Metab. 25, 1528-1547 (2005). 10.1038/sj.jcbfm.9600146
6. J. Logan, J. S. Fowler, N. D. Volkow, A. P. Wolf, S. L. Dewey, D. J. Schlyer, R. R. MacGregor, R. Hitzemann, B. Bendriem, and S. J. Gatley, Graphical analysis of reversible radioligand binding from time-activity measurements applied to N-11C-methyl-(-)-cocaine PET studies in human subjects., J. Cereb. Blood Flow Metab. 10, 740-747 (1990). 10.1038/jcbfm.1990.127
7. J. Logan, J. S. Fowler, N. D. Volkow, G. J. Wang, Y. S. Ding, and D. L. Alexoff, Distribution volume ratios without blood sampling from graphical analysis of PET data., J. Cereb. Blood Flow Metab. 16, 834-840 (1996). 10.1097/00004647-199609000-00008
8. M. Slifstein and M. Laruelle, Effects of statistical noise on graphic analysis of PET neuroreceptor studies., J. Nucl. Med. 41, 2083-2088 (2000).
9. M. Yaqub, N. Tolboom, R. Boellaard, B. N. van Berckel, E. W. van Tilburg, G. Luurtsema, P. Scheltens, and A. A. Lammertsma, Simplified parametric methods for 11CPIB studies., Neuroimage 42, 76-86 (2008). 10.1016/j.neuroimage.2008.04. 251
10. A. A. Lammertsma and S. P. Hume, Simplified reference tissue model for PET receptor studies., Neuroimage 4, 153-158 (1996). 10.1006/nimg.1996.0066
11. R. N. Gunn, A. A. Lammertsma, S. P. Hume, and V. J. Cunningham, Parametric imaging of ligand-receptor binding in PET using a simplified reference region model., Neuroimage 6, 279-287 (1997). 10.1006/nimg.1997.0303
12. Y. Wu and R. E. Carson, Noise reduction in the simplified reference tissue model for neuroreceptor functional imaging., J. Cereb. Blood Flow Metab. 22, 1440-1452 (2002). 10.1097/00004647-200212000-00004
13. C. S. Patlak, R. G. Blasberg, and J. D. Fenstermacher, Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data., J. Cereb. Blood Flow Metab. 3, 1-7 (1983). 10.1038/jcbfm.1983.1
14. C. S. Patlak and R. G. Blasberg, Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations., J. Cereb. Blood Flow Metab. 5, 584-590 (1985). 10.1038/jcbfm.1985.87
15. I. G. Zubal, C. R. Harrell, E. O. Smith, Z. Rattner, G. Gindi, and P. B. Hoffer, Computerized three-dimensional segmented human anatomy., Med. Phys. 21, 299-302 (1994). 10.1118/1.597290
16. G. Brix, J. Zaers, L. E. Adam, M. E. Bellemann, H. Ostertag, H. Trojan, U. Haberkorn, J. Doll, F. Oberdorfer, and W. J. Lorenz, Performance evaluation of a whole-body PET scanner using the NEMA protocol. National Electrical Manufacturers Association., J. Nucl. Med. 38, 1614-1623 (1997).
17. H. Herzog, L. Tellman, U. Pietrzyk, M. E. Casey, and T. Kuwert, NEMA NU2-2001 guided performance evaluation of four siemens ECAT PET scanners., IEEE Trans. Nucl. Sci. 51, 2662-2669 (2004). 10.1109/TNS.2004.835778
18. B. J. Lopresti, W. E. Klunk, C. A. Mathis, J. A. Hoge, S. K. Ziolko, X. Lu, C. C. Meltzer, K. Schimmel, N. D. Tsopelas, S. T. DeKosky, and J. C. Price, Simplified quantification of Pittsburgh compound B amyloid imaging PET studies: A comparative analysis., J. Nucl. Med. 46, 1959-1972 (2005).
19. F. E. Turkheimer, M. Brett, D. Visvikis, and V. J. Cunningham, Multiresolution analysis of emission tomography images in the wavelet domain., J. Cereb. Blood Flow Metab. 19, 1189-1208 (1999). 10.1097/00004647-199911000- 00003
20. F. E. Turkheimer, R. B. Banati, D. Visvikis, J. A. Aston, R. N. Gunn, and V. J. Cunningham, Modeling dynamic PET-SPECT studies in the wavelet domain., J. Cereb. Blood Flow Metab. 20, 879-893 (2000). 10.1097/00004647-200005000-00015
21. J. W. Lin, A. F. Laine, and S. R. Bergmann, Improving PET-based physiological quantification through methods of wavelet denoising., IEEE Trans. Biomed. Eng. 48, 202-212 (2001). 10.1109/10.909641
22. Z. Cselenyi, H. Olsson, L. Farde, and B. Gulyas, Wavelet-aided parametric mapping of cerebral dopamine D2 receptors using the high affinity PET radioligand 11CFLB 457., Neuroimage 17, 47-60 (2002). 10.1006/nimg.2002.1152
23. F. E. Turkheimer, J. A. Aston, R. B. Banati, C. Riddell, and V. J. Cunningham, A linear wavelet filter for parametric imaging with dynamic PET., IEEE Trans. Med. Imaging 22, 289-301 (2003). 10.1109/TMI.2003.809597
24. N. M. Alpert, A. Reilhac, T. C. Chio, and I. Selesnick, Optimization of dynamic measurement of receptor kinetics by wavelet denoising., Neuroimage 30, 444-451 (2006). 10.1016/j.neuroimage.2005.09.031
25. A. Rahmim, J. Tang, and H. Zaidi, Four-dimensional (4D) image reconstruction strategies in dynamic PET: Beyond conventional independent frame reconstruction., Med. Phys. 36, 3654-3670 (2009). 10.1118/1.3160108
26. M. Ichise, H. Toyama, R. B. Innis, and R. E. Carson, Strategies to improve neuroreceptor parameter estimation by linear regression analysis., J. Cereb. Blood Flow Metab. 22, 1271-1281 (2002). 10.1097/00004647-200210000-00015
27. J. Logan, A review of graphical methods for tracer studies and strategies to reduce bias., Nucl. Med. Biol. 30, 833-844 (2003). 10.1016/S0969-8051(03) 00114-8