Different partial volume correction methods lead to different conclusions: An 18F-FDG-PET study of aging

NeuroImage

Volumn 132, Issue , 2016, Pages 334-343

  Greve, Douglas N ^a,b   Salat, David H ^a,c   Bowen, Spencer L ^a   Izquierdo Garcia, David ^a   Schultz, Aaron P ^a   Catana, Ciprian ^a   Becker, J Alex ^a   Svarer, Claus ^d   Knudsen, Gitte M ^d,e   Sperling, Reisa A ^a   Johnson, Keith A ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c Neuroimaging Research for Veterans Center   (United States)

^d University of Copenhagen   (Denmark)

^e UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

FLUORODEOXYGLUCOSE F 18;

AGED; AGING; ARTICLE; BRAIN CORTEX; BRAIN METABOLISM; CROSS-SECTIONAL STUDY; FEMALE; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; MALE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PARTIAL VOLUME CORRECTION; PET SCANNER; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; SENSITIVITY ANALYSIS; SIMULATION; VERY ELDERLY; ALGORITHM; BRAIN; BRAIN MAPPING; IMAGE PROCESSING; METABOLISM; PROCEDURES; REPRODUCIBILITY; SIGNAL PROCESSING;

AGED; AGED, 80 AND OVER; AGING; ALGORITHMS; BRAIN; BRAIN MAPPING; FEMALE; FLUORODEOXYGLUCOSE F18; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; POSITRON-EMISSION TOMOGRAPHY; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84960154842     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.02.042     Document Type: Article

References (57)

1. Bauer C.M., Cabral H.J., Greve D.N., Killiany R.J. Differentiating between normal aging, mild cognitive impairment, and Alzheimer's disease with FDG-PET: effects of normalization region and partial volume correction method. J. Alzheimers Dis. Parkinsonism 2013, 3.
2. Boivin G., Vassilis Genoud, Zaidi H. MRI-guided partial volume correction in brain PET imaging: comparison of five algorithms. Biomed. Technol. 2014, 1:73-81.
3. Bowen S.L., Byars L.G., Michel C.J., Chonde D.B., Catana C. Influence of the partial volume correction method on (18)F-fluorodeoxyglucose brain kinetic modelling from dynamic PET images reconstructed with resolution model based OSEM. Phys. Med. Biol. 2013, 58:7081-7106.
4. Curiati P.K., Tamashiro-Duran J.H., Duran F.L., Buchpiguel C.A., Squarzoni P., Romano D.C., Vallada H., Menezes P.R., Scazufca M., Busatto G.F., Alves T.C. Age-related metabolic profiles in cognitively healthy elders: results from a voxel-based [18F]fluorodeoxyglucose-positron-emission tomography study with partial volume effects correction. AJNR Am. J. Neuroradiol. 2011, 32:560-565.
5. Dale A.M., Fischl B., Sereno M.I. Cortical surface-based analysis I: segmentation and surface reconstruction. NeuroImage 1999, 9:179-194.
6. de Leon M.J., George A.E., Tomanelli J., Christman D., Kluger A., Miller J., Ferris S.H., Fowler J., Brodie J.D., van Gelder P., et al. Positron emission tomography studies of normal aging: a replication of PET III and 18-FDG using PET VI and 11-CDG. Neurobiol. Aging 1987, 8:319-323.
7. Deane R., Segal M.B. The transport of sugars across the perfused choroid plexus of the sheep. J. Physiol. 1985, 362:245-260.
8. Du Y., Tsui B.M., Frey E.C. Partial volume effect compensation for quantitative brain SPECT imaging. IEEE Trans. Med. Imaging 2005, 24:969-976.
9. Erlandsson K., Buvat I., Pretorius P.H., Thomas B.A., Hutton B.F. A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology. Phys. Med. Biol. 2012, 57:R119-R159.
10. Ewers M., Brendel M., Rizk-Jackson A., Rominger A., Bartenstein P., Schuff N., Weiner M.W., Alzheimer's Disease Neuroimaging, I. Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects. Neuroimage Clin. 2014, 4:45-52.
11. Fischl B., Dale A.M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. 2000, 97:11044-11049.
12. Fischl B., Sereno M.I., Dale A.M. Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system. NeuroImage 1999, 9:195-207.
13. Fischl B., Salat D.H., Albert M., Dieterich M., Haselgrove C., Kouwe A.v.d., Killiany R., Kennedy D., Klaveness S., Montillo A., Makris N., Rosen B., Dale A.M. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 2002, 33:341-355.
14. Fischl B., van der Kouwe A., Destrieux C., Halgren E., Segonne F., Salat D.H., Busa E., Seidman L.J., Goldstein J., Kennedy D., Caviness V., Makris N., Rosen B., Dale A.M. Automatically parcellating the human cerebral cortex. Cereb. Cortex 2004, 14:11-22.
15. Greve D., Fischl B. Accurate and robust brain image alignment using boundary-based registration. NeuroImage 2009, 48:63-72.
16. Greve D.N., Svarer C., Fisher P.M., Feng L., Hansen A.E., Baare W., Rosen B., Fischl B., Knudsen G.M. Cortical surface-based analysis reduces bias and variance in kinetic modeling of brain PET data. NeuroImage 2014, 92:225-236.
17. Harri M., Mika T., Jussi H., Nevalainen O.S., Jarmo H. Evaluation of partial volume effect correction methods for brain positron emission tomography: quantification and reproducibility. J. Med. Phys. 2007, 32:108-117.
18. Hawkins R.A., Mazziotta J.C., Phelps M.E., Huang S.C., Kuhl D.E., Carson R.E., Metter E.J., Riege W.H. Cerebral glucose metabolism as a function of age in man: influence of the rate constants in the fluorodeoxyglucose method. J. Cereb. Blood Flow Metab. 1983, 3:250-253.
19. Herholz K., Salmon E., Perani D., Baron J.C., Holthoff V., Frolich L., Schonknecht P., Ito K., Mielke R., Kalbe E., Zundorf G., Delbeuck X., Pelati O., Anchisi D., Fazio F., Kerrouche N., Desgranges B., Eustache F., Beuthien-Baumann B., Menzel C., Schroder J., Kato T., Arahata Y., Henze M., Heiss W.D. Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET. NeuroImage 2002, 17:302-316.
20. Ibanez V., Pietrini P., Alexander G.E., Furey M.L., Teichberg D., Rajapakse J.C., Rapoport S.I., Schapiro M.B., Horwitz B. Regional glucose metabolic abnormalities are not the result of atrophy in Alzheimer's disease. Neurology 1998, 50:1585-1593.
21. Ibanez V., Pietrini P., Furey M.L., Alexander G.E., Millet P., Bokde A.L., Teichberg D., Schapiro M.B., Horwitz B., Rapoport S.I. Resting state brain glucose metabolism is not reduced in normotensive healthy men during aging, after correction for brain atrophy. Brain Res. Bull. 2004, 63:147-154.
22. Izquierdo-Garcia D., Hansen A.E., Forster S., Benoit D., Schachoff S., Furst S., Chen K.T., Chonde D.B., Catana C. An SPM8-based approach for attenuation correction combining segmentation and nonrigid template formation: application to simultaneous PET/MR brain imaging. J. Nucl. Med. 2014, 55:1825-1830.
23. Jan S., Comtat C., Strul D., Santin G., trebossen R. Monte Carlo simulation for the ECAT EXACT HR+ system using GATE. IEEE Trans. Nucl. Sci. 2005, 52:627-633.
24. Kalpouzos G., Chetelat G., Baron J.C., Landeau B., Mevel K., Godeau C., Barre L., Constans J.M., Viader F., Eustache F., Desgranges B. Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging. Neurobiol. Aging 2009, 30:112-124.
25. Kantarci K., Jack C.R., Xu Y.C., Campeau N.G., O'Brien P.C., Smith G.E., Ivnik R.J., Boeve B.F., Kokmen E., Tangalos E.G., Petersen R.C. Mild cognitive impairment and Alzheimer disease: regional diffusivity of water. Radiology 2001, 219:101-107.
26. Knopman D.S., Jack C.R., Wiste H.J., Lundt E.S., Weigand S.D., Vemuri P., Lowe V.J., Kantarci K., Gunter J.L., Senjem M.L., Mielke M.M., Roberts R.O., Boeve B.F., Petersen R.C. 18F-fluorodeoxyglucose positron emission tomography, aging, and apolipoprotein E genotype in cognitively normal persons. Neurobiol. Aging 2014, 35:2096-2106.
27. Kochunov P., Ramage A.E., Lancaster J.L., Robin D.A., Narayana S., Coyle T., Royall D.R., Fox P. Loss of cerebral white matter structural integrity tracks the gray matter metabolic decline in normal aging. NeuroImage 2009, 45:17-28.
28. Kuhl D.E., Metter E.J., Riege W.H., Phelps M.E. Effects of human aging on patterns of local cerebral glucose utilization determined by the [18F]fluorodeoxyglucose method. J. Cereb. Blood Flow Metab. 1982, 2:163-171.
29. Labbé C., Koepp M., Ashburner J., Spinks T., Richardson M., Duncan J., Cunningham V. Absolute PET quantification with correction for partial volume effects with cerebral structures. Quantitative Functional Brain Imaging with Positron Emission Tomography 1998, 59-66.
30. Landau S.M., Harvey D., Madison C.M., Koeppe R.A., Reiman E.M., Foster N.L., Weiner M.W., Jagust W.J., Alzheimer's Disease Neuroimaging, I. Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI. Neurobiol. Aging 2011, 32:1207-1218.
31. Loessner A., Alavi A., Lewandrowski K.U., Mozley D., Souder E., Gur R.E. Regional cerebral function determined by FDG-PET in healthy volunteers: normal patterns and changes with age. J. Nucl. Med. 1995, 36:1141-1149.
32. Meltzer C.C., Leal J.P., Mayberg H.S., Wagner H.N., Frost J.J. Correction of PET data for partial volume effects in human cerebral cortex by MR imaging. J. Comput. Assist. Tomogr. 1990, 14:561-570.
33. Meltzer C.C., Zubieta J.K., Links J.M., Brakeman P., Stumpf M.J., Frost J.J. MR-based correction of brain PET measurements for heterogeneous gray matter radioactivity distribution. J. Cereb. Blood Flow Metab. 1996, 16:650-658.
34. Meltzer C.C., Kinahan P.E., Greer P.J., Nichols T.E., Comtat C., Cantwell M.N., Lin M.P., Price J.C. Comparative evaluation of MR-based partial-volume correction schemes for PET. J. Nucl. Med. 1999, 40:2053-2065.
35. Minoshima S., Frey K.A., Foster N.L., Kuhl D.E. Preserved pontine glucose metabolism in Alzheimer disease: a reference region for functional brain image (PET) analysis. J. Comput. Assist. Tomogr. 1995, 19:541-547.
36. Moeller J.R., Ishikawa T., Dhawan V., Spetsieris P., Mandel F., Alexander G.E., Grady C., Pietrini P., Eidelberg D. The metabolic topography of normal aging. J. Cereb. Blood Flow Metab. 1996, 16:385-398.
37. Mormino E.C., Betensky R.A., Hedden T., Schultz A.P., Amariglio R.E., Rentz D.M., Johnson K.A., Sperling R.A. Synergistic effect of β-amyloid and neurodegeneration on cognitive decline in clinically normal individuals. JAMA Neurol. 2014.
38. Müller-Gärtner H.W., Links J.M., Prince J.L., Bryan R.N., McVeigh E., Leal J.P., Davatzikos C., Frost J.J. Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MRI-based correction for partial volume effects. J. Cereb. Blood Flow Metab. 1992, 12:571-583.
39. Nugent S., Castellano C.A., Goffaux P., Whittingstall K., Lepage M., Paquet N., Bocti C., Fulop T., Cunnane S.C. Glucose hypometabolism is highly localized, but lower cortical thickness and brain atrophy are widespread in cognitively normal older adults. Am. J. Physiol. Endocrinol. Metab. 2014, 306:E1315-E1321.
40. Nugent S., Tremblay S., Chen K.W., Ayutyanont N., Roontiva A., Castellano C.A., Fortier M., Roy M., Courchesne-Loyer A., Bocti C., Lepage M., Turcotte E., Fulop T., Reiman E.M., Cunnane S.C. Brain glucose and acetoacetate metabolism: a comparison of young and older adults. Neurobiol. Aging 2014, 35:1386-1395.
41. Oakes T.R., Fox A.S., Johnstone T., Chung M.K., Kalin N., Davidson R.J. Integrating VBM into the general linear model with voxelwise anatomical covariates. NeuroImage 2007, 34:500-508.
42. Petit-Taboue M.C., Landeau B., Desson J.F., Desgranges B., Baron J.C. Effects of healthy aging on the regional cerebral metabolic rate of glucose assessed with statistical parametric mapping. NeuroImage 1998, 7:176-184.
43. Quarantelli M., Berkouk K., Prinster A., Landeau B., Svarer C., Balkay L., Alfano B., Brunetti A., Baron J.C., Salvatore M. Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction. J. Nucl. Med. 2004, 45:192-201.
44. Redzic Z.B., Preston J.E., Duncan J.A., Chodobski A., Szmydynger-Chodobska J. The choroid plexus-cerebrospinal fluid system: from development to aging. Curr. Top. Dev. Biol. 2005, 71:1-52.
45. Reilhac A., Tomei S., Buvat I., Michel C., Keheren F., Costes N. Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies. NeuroImage 2008, 39:359-368.
46. Rmeily-Haddad M., Baledent O., Stoquart-ElSankari S., Serot J.-M., Baily P., Meyer M.-E. The kinetics of 18f-fluorodeoxyglucose uptake in the choroid plexus. Int. J. Imaging Syst. Technol. 2011, 21:107-144.
47. Roos K.L. Principles of Neurologic Infectious Diseases: Principles and Practice 2004, McGraw-Hill Professional.
48. Rousset O.G., Ma Y., Evans A.C. Correction for partial volume effects in PET: principle and validation. J. Nucl. Med. 1998, 39:904-911.
49. Rousset O.G., Ma Y., Wong D.F., Evans A.C. Pixel versus region-based partial volume correction in PET. Quantitative Functional Brain Imaging with Positron Emission Tomography 1998, 67-75.
50. Sattarivand M., Kusano M., Poon I., Caldwell C. Symmetric geometric transfer matrix partial volume correction for PET imaging: principle, validation and robustness. Phys. Med. Biol. 2012, 57:7101-7116.
51. Segonne F., Pacheco J., Fischl B. Geometrically accurate topology-correction of cortical surfaces using nonseparating loops. IEEE Trans. Med. Imaging 2007, 26:518-529.
52. Thomas B.A., Erlandsson K., Modat M., Thurfjell L., Vandenberghe R., Ourselin S., Hutton B.F. The importance of appropriate partial volume correction for PET quantification in Alzheimer's disease. Eur. J. Nucl. Med. Mol. Imaging 2011, 38:1104-1119.
53. Uchida H., Chow T.W., Mamo D.C., Kapur S., Mulsant B.H., Houle S., Pollock B.G., Graff-Guerrero A. Effects of aging on 5-HT(2 A) R binding: a HRRT PET study with and without partial volume corrections. Int. J. Geriatr. Psychiatry 2011, 26:1300-1308.
54. Walhovd K.B., Fjell A.M., Dale A.M., McEvoy L.K., Brewer J., Karow D.S., Salmon D.P., Fennema-Notestine C., Alzheimer's Disease Neuroimaging, I. Multi-modal imaging predicts memory performance in normal aging and cognitive decline. Neurobiol. Aging 2010, 31:1107-1121.
55. Yanase D., Matsunari I., Yajima K., Chen W., Fujikawa A., Nishimura S., Matsuda H., Yamada M. Brain FDG PET study of normal aging in Japanese: effect of atrophy correction. Eur. J. Nucl. Med. Mol. Imaging 2005, 32:794-805.
56. Yoshii F., Barker W.W., Chang J.Y., Loewenstein D., Apicella A., Smith D., Boothe T., Ginsberg M.D., Pascal S., Duara R. Sensitivity of cerebral glucose metabolism to age, gender, brain volume, brain atrophy, and cerebrovascular risk factors. J. Cereb. Blood Flow Metab. 1988, 8:654-661.
57. Yoshizawa H., Gazes Y., Stern Y., Miyata Y., Uchiyama S. Characterizing the normative profile of 18F-FDG PET brain imaging: sex difference, aging effect, and cognitive reserve. Psychiatry Res. 2014, 221:78-85.