33. L. Farde, L. Eriksson, G. Blomquist, C. Halldin, Kinetic analysis of central [11C] raclopride
binding to D2-dopamine receptors studied by PET—a comparison to the equilibrium analysis.
J. Cereb. Blood Flow Metab. 9(5), 696–708 (1989)
34. A. Gjedde, High-and low-affinity transport of D-glucose from blood to brain. J. Neurochem.
36(4), 1463–1471 (1981)
35. C.S. Patlak, R.G. Blasberg, Graphical evaluation of blood-to-brain transfer constants from
multiple-time uptake data. Generalizations. J. Cereb. Blood Flow Metab. 5(4), 584–590
(1985)
36. C.S. Patlak, R.G. Blasberg, J.D. Fenstermacher, Graphical evaluation of blood-to-brain
transfer constants from multiple-time uptake data. J. Cereb. Blood Flow Metab. 3(1), 1–7
(1983)
37. J. Logan, J.S. Fowler, N.D. Volkow, G.-J. Wang, Y.-S. Ding, D.L. Alexoff, Distribution
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Flow Metab. 16(5), 834–840 (1996)
38. J. Logan, J.S. Fowler, N.D. Volkow, A.P. Wolf, S.L. Dewey, D.J. Schlyer et al., Graphical
analysis of reversible radioligand binding from time—activity measurements applied to
[N11
C-methyl]-(−)-cocaine PET studies in human subjects. J. Cereb. Blood Flow Metab. 10
(5), 740–747 (1990)
39. Y. Zhou, W. Ye, J.R. Brašić, A.H. Crabb, J. Hilton, D.F. Wong, A consistent and efficient
graphical analysis method to improve the quantification of reversible tracer binding in
radioligand receptor dynamic PET studies. Neuroimage 44(3), 661–670 (2009)
40. S. Seo, S.J. Kim, H.B. Yoo, J.-Y. Lee, Y.K. Kim, D.S. Lee et al., Noninvasive bi-graphical
analysis for the quantification of slowly reversible radioligand binding. Phys. Med. Biol. 61
(18), 6770 (2016)
41. Y. Zhou, W. Ye, J.R. Brašić, D.F. Wong, Multi-graphical analysis of dynamic PET.
Neuroimage 49(4), 2947–2957 (2010)
42. S. Seo, S.J. Kim, D.S. Lee, J.S. Lee, Recent advances in parametric neuroreceptor mapping
with dynamic PET: basic concepts and graphical analyses. Neurosci. Bull. 30(5), 733–754
(2014)
43. D. Feng, Z. Wang, S.-C. Huang, A study on statistically reliable and computationally efficient
algorithms for generating local cerebral blood flow parametric images with positron emission
tomography. IEEE Trans. Med. Imaging 12(2), 182–188 (1993)
44. D. Feng, S.-C. Huang, Z. Wang, D. Ho, An unbiased parametric imaging algorithm for
nonuniformly sampled biomedical system parameter estimation. IEEE Trans. Med. Imaging
15(4), 512–518 (1996)
45. M. Ichise, H. Toyama, R.B. Innis, R.E. Carson, Strategies to improve neuroreceptor
parameter estimation by linear regression analysis. J. Cereb. Blood Flow Metab. 22(10),
1271–1281 (2002)
46. R.N. Gunn, P.A. Sargent, C.J. Bench, E.A. Rabiner, S. Osman, V.W. Pike et al., Tracer
kinetic modeling of the 5-HT 1A receptor ligand [carbonyl11 C] WAY-100635 for PET.
Neuroimage 8(4), 426–440 (1998)
47. H. Watabe, H. Jino, N. Kawachi, N. Teramoto, T. Hayashi, Y. Ohta et al., Parametric imaging
of myocardial blood flow with
15
O-water and PET using the basis function method. J. Nucl.
Med. 46(7), 1219–1224 (2005)
48. J.-B. Tylcz, T. Bastogne, H. Benachour, D. Bechet, E. Bullinger, H. Garnier et al., A
model-based pharmacokinetics characterization method of engineered nanoparticles for pilot
studies. IEEE Trans. Nanobiosci. 14(4), 368–377 (2015)
49. H. Maeda, J. Wu, T. Sawa, Y. Matsumura, K. Hori, Tumor vascular permeability and the EPR
effect in macromolecular therapeutics: a review. J. Control Release 65(1), 271–284 (2000)
50. Y. Matsumura, H. Maeda, A new concept for macromolecular therapeutics in cancer
chemotherapy: mechanism of tumoritropic accumulation of proteins and the antitumor agent
smancs. Cancer Res. 46(12 Part 1), 6387–6392 (1986)
51. J.D. Byrne, T. Betancourt, L. Brannon-Peppas, Active targeting schemes for nanoparticle
systems in cancer therapeutics. Adv. Drug Deliv. Rev. 60(15), 1615–1626 (2008)
16 Tracer Kinetics in Radionanomedicine
309
binding to D2-dopamine receptors studied by PET—a comparison to the equilibrium analysis.
J. Cereb. Blood Flow Metab. 9(5), 696–708 (1989)
34. A. Gjedde, High-and low-affinity transport of D-glucose from blood to brain. J. Neurochem.
36(4), 1463–1471 (1981)
35. C.S. Patlak, R.G. Blasberg, Graphical evaluation of blood-to-brain transfer constants from
multiple-time uptake data. Generalizations. J. Cereb. Blood Flow Metab. 5(4), 584–590
(1985)
36. C.S. Patlak, R.G. Blasberg, J.D. Fenstermacher, Graphical evaluation of blood-to-brain
transfer constants from multiple-time uptake data. J. Cereb. Blood Flow Metab. 3(1), 1–7
(1983)
37. J. Logan, J.S. Fowler, N.D. Volkow, G.-J. Wang, Y.-S. Ding, D.L. Alexoff, Distribution
volume ratios without blood sampling from graphical analysis of PET data. J. Cereb. Blood
Flow Metab. 16(5), 834–840 (1996)
38. J. Logan, J.S. Fowler, N.D. Volkow, A.P. Wolf, S.L. Dewey, D.J. Schlyer et al., Graphical
analysis of reversible radioligand binding from time—activity measurements applied to
[N11
C-methyl]-(−)-cocaine PET studies in human subjects. J. Cereb. Blood Flow Metab. 10
(5), 740–747 (1990)
39. Y. Zhou, W. Ye, J.R. Brašić, A.H. Crabb, J. Hilton, D.F. Wong, A consistent and efficient
graphical analysis method to improve the quantification of reversible tracer binding in
radioligand receptor dynamic PET studies. Neuroimage 44(3), 661–670 (2009)
40. S. Seo, S.J. Kim, H.B. Yoo, J.-Y. Lee, Y.K. Kim, D.S. Lee et al., Noninvasive bi-graphical
analysis for the quantification of slowly reversible radioligand binding. Phys. Med. Biol. 61
(18), 6770 (2016)
41. Y. Zhou, W. Ye, J.R. Brašić, D.F. Wong, Multi-graphical analysis of dynamic PET.
Neuroimage 49(4), 2947–2957 (2010)
42. S. Seo, S.J. Kim, D.S. Lee, J.S. Lee, Recent advances in parametric neuroreceptor mapping
with dynamic PET: basic concepts and graphical analyses. Neurosci. Bull. 30(5), 733–754
(2014)
43. D. Feng, Z. Wang, S.-C. Huang, A study on statistically reliable and computationally efficient
algorithms for generating local cerebral blood flow parametric images with positron emission
tomography. IEEE Trans. Med. Imaging 12(2), 182–188 (1993)
44. D. Feng, S.-C. Huang, Z. Wang, D. Ho, An unbiased parametric imaging algorithm for
nonuniformly sampled biomedical system parameter estimation. IEEE Trans. Med. Imaging
15(4), 512–518 (1996)
45. M. Ichise, H. Toyama, R.B. Innis, R.E. Carson, Strategies to improve neuroreceptor
parameter estimation by linear regression analysis. J. Cereb. Blood Flow Metab. 22(10),
1271–1281 (2002)
46. R.N. Gunn, P.A. Sargent, C.J. Bench, E.A. Rabiner, S. Osman, V.W. Pike et al., Tracer
kinetic modeling of the 5-HT 1A receptor ligand [carbonyl11 C] WAY-100635 for PET.
Neuroimage 8(4), 426–440 (1998)
47. H. Watabe, H. Jino, N. Kawachi, N. Teramoto, T. Hayashi, Y. Ohta et al., Parametric imaging
of myocardial blood flow with
15
O-water and PET using the basis function method. J. Nucl.
Med. 46(7), 1219–1224 (2005)
48. J.-B. Tylcz, T. Bastogne, H. Benachour, D. Bechet, E. Bullinger, H. Garnier et al., A
model-based pharmacokinetics characterization method of engineered nanoparticles for pilot
studies. IEEE Trans. Nanobiosci. 14(4), 368–377 (2015)
49. H. Maeda, J. Wu, T. Sawa, Y. Matsumura, K. Hori, Tumor vascular permeability and the EPR
effect in macromolecular therapeutics: a review. J. Control Release 65(1), 271–284 (2000)
50. Y. Matsumura, H. Maeda, A new concept for macromolecular therapeutics in cancer
chemotherapy: mechanism of tumoritropic accumulation of proteins and the antitumor agent
smancs. Cancer Res. 46(12 Part 1), 6387–6392 (1986)
51. J.D. Byrne, T. Betancourt, L. Brannon-Peppas, Active targeting schemes for nanoparticle
systems in cancer therapeutics. Adv. Drug Deliv. Rev. 60(15), 1615–1626 (2008)
16 Tracer Kinetics in Radionanomedicine
309