PETPVE12: an SPM toolbox for Partial Volume Effects correction in brain PET – Application to amyloid imaging with AV45-PET

NeuroImage

Volumn 147, Issue , 2017, Pages 669-677

  Gonzalez Escamilla, Gabriel ^a   Lange, Catharina ^b   Teipel, Stefan ^a,c   Buchert, Ralph ^b   Grothe, Michel J ^a,c  

^a GERMAN CENTER FOR NEURODEGENERATIVE DISEASES DZNE   (Germany)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^c UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

Alzheimer's disease; Amyloid imaging; MRI; Partial Volume Effects correction; PET

Indexed keywords

ACCURACY; AGED; ALZHEIMER DISEASE; ARTICLE; AUTOMATION; COGNITION; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; PARTIAL VOLUME EFFECTS CORRECTION; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUALITY CONTROL PROCEDURES; RADIOLOGICAL PROCEDURES; DIAGNOSTIC IMAGING; IMAGE PROCESSING; METABOLISM; PROCEDURES; STANDARDS; VERY ELDERLY;

ANILINE DERIVATIVE; ETHYLENE GLYCOL DERIVATIVE; FLORBETAPIR;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; ANILINE COMPOUNDS; ETHYLENE GLYCOLS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; POSITRON-EMISSION TOMOGRAPHY;

EID: 85008931798     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.12.077     Document Type: Article

References (60)

1. Alessio, A.M., Kinahan, P.E., Improved quantitation for PET/CT image reconstruction with system modeling and anatomical priors. Med. Phys. 33 (2006), 4095–4103.
2. Ashburner, J., A fast diffeomorphic image registration algorithm. NeuroImage 38 (2007), 95–113.
3. Ashburner, J., Computational anatomy with the SPM software. Magn. Reson. Imaging 27 (2009), 1163–1174.
4. Ashburner, J., Friston, K.J., Voxel-based morphometry-the methods. NeuroImage 11 (2000), 805–821.
5. Brendel, M., Delker, A., Rotzer, C., Boning, G., Carlsen, J., Cyran, C., Mille, E., Gildehaus, F.J., Cumming, P., Baumann, K., Steiner, H., Haass, C., Herms, J., Bartenstein, P., Rominger, A., Impact of partial volume effect correction on cerebral beta-amyloid imaging in APP-Swe mice using [(18)F]-florbetaben PET. NeuroImage 84 (2014), 843–853.
6. Brendel, M., Hogenauer, M., Delker, A., Sauerbeck, J., Bartenstein, P., Seibyl, J., Rominger, A., Alzheimer's Disease Neuroimaging, I., Improved longitudinal [(18)F]-AV45 amyloid PET by white matter reference and VOI-based partial volume effect correction. NeuroImage 108 (2015), 450–459.
7. Chetelat, G., Villain, N., Desgranges, B., Eustache, F., Baron, J.C., Posterior cingulate hypometabolism in early Alzheimer's disease: what is the contribution of local atrophy versus disconnection?. Brain, 132, 2009, e133 (author reply e134).
8. Clark, C.M., Schneider, J.A., Bedell, B.J., Beach, T.G., Bilker, W.B., Mintun, M.A., Pontecorvo, M.J., Hefti, F., Carpenter, A.P., Flitter, M.L., Krautkramer, M.J., Kung, H.F., Coleman, R.E., Doraiswamy, P.M., Fleisher, A.S., Sabbagh, M.N., Sadowsky, C.H., Reiman, E.P., Zehntner, S.P., Skovronsky, D.M., Group, A.A.S., Use of florbetapir-PET for imaging beta-amyloid pathology. JAMA 305 (2011), 275–283.
9. Cockrell, J.R., Folstein, M.F., Mini-Mental State Examination (MMSE). Psychopharmacol. Bull. 24 (1988), 689–692.
10. Cuadra, M.B., Cammoun, L., Butz, T., Cuisenaire, O., Thiran, J.P., Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images. IEEE Trans. Med. Imaging 24 (2005), 1548–1565.
11. Desikan, R.S., Segonne, F., Fischl, B., Quinn, B.T., Dickerson, B.C., Blacker, D., Buckner, R.L., Dale, A.M., Maguire, R.P., Hyman, B.T., Albert, M.S., Killiany, R.J., An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 31 (2006), 968–980.
12. Edison, P., Carter, S.F., Rinne, J.O., Gelosa, G., Herholz, K., Nordberg, A., Brooks, D.J., Hinz, R., Comparison of MRI based and PET template based approaches in the quantitative analysis of amyloid imaging with PIB-PET. Neuroimage 70 (2013), 423–433.
13. 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. 57 (2012), R119–R159.
14. Firbank, M.J., Barber, R., Burton, E.J., O'Brien, J.T., Validation of a fully automated hippocampal segmentation method on patients with dementia. Human. Brain Mapp. 29 (2008), 1442–1449.
15. Frouin, V., Comtat, C., Reilhac, A., Gregoire, M.C., Correction of partial-volume effect for PET striatal imaging: fast implementation and study of robustness. J. Nucl. Med. 43 (2002), 1715–1726.
16. Gaser, C., Partial Volume Segmentation with Adaptive Maximum A Posteriori (MAP) Approach. Neuroimage 47 (2009), S39–S41.
17. Greve, D.N., Salat, D.H., Bowen, S.L., Izquierdo-Garcia, D., Schultz, A.P., Catana, C., Becker, J.A., Svarer, C., Knudsen, G.M., Sperling, R.A., Johnson, K.A., Different partial volume correction methods lead to different conclusions: an (18)F-FDG-PET study of aging. Neuroimage 132 (2016), 334–343.
18. Grothe, M., Heinsen, H., Teipel, S., Longitudinal measures of cholinergic forebrain atrophy in the transition from healthy aging to Alzheimer's disease. Neurobiol. Aging 34 (2013), 1210–1220.
19. Hammers, A., Allom, R., Koepp, M.J., Free, S.L., Myers, R., Lemieux, L., Mitchell, T.N., Brooks, D.J., Duncan, J.S., Three-dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe. Hum. Brain Mapp. 19 (2003), 224–247.
20. Herholz, K., Ebmeier, K., Clinical amyloid imaging in Alzheimer's disease. Lancet Neurol. 10 (2011), 667–670.
21. Hoffman, E.J., Huang, S.C., Phelps, M.E., Quantitation in positron emission computed tomography: 1. Effect of object size. J. Comput. Assist Tomogr. 3 (1979), 299–308.
22. Hogenauer, M., Brendel, M., Delker, A., Darr, S., Weiss, M., Bartenstein, P., Rominger, A., Alzheimer's Disease Neuroimaging, I., Impact of MRI-based Segmentation Artifacts on Amyloid- and FDG-PET Quantitation. Curr. Alzheimer Res. 13 (2016), 597–607.
23. 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 50 (1998), 1585–1593.
24. Kessler, R.M., Ellis, J.R. Jr., Eden, M., Analysis of emission tomographic scan data: limitations imposed by resolution and background. J Comput. Assist Tomogr. 8 (1984), 514–522.
25. Klein, A., Andersson, J., Ardekani, B.A., Ashburner, J., Avants, B., Chiang, M.C., Christensen, G.E., Collins, D.L., Gee, J., Hellier, P., Song, J.H., Jenkinson, M., Lepage, C., Rueckert, D., Thompson, P., Vercauteren, T., Woods, R.P., Mann, J.J., Parsey, R.V., Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage 46 (2009), 786–802.
26. La Joie, R., Perrotin, A., Barre, L., Hommet, C., Mezenge, F., Ibazizene, M., Camus, V., Abbas, A., Landeau, B., Guilloteau, D., de La Sayette, V., Eustache, F., Desgranges, B., Chetelat, G., Region-specific hierarchy between atrophy, hypometabolism, and beta-amyloid (Abeta) load in Alzheimer's disease dementia. J. Neurosci. 32 (2012), 16265–16273.
27. Landau, S.M., Thomas, B.A., Thurfjell, L., Schmidt, M., Margolin, R., Mintun, M., Pontecorvo, M., Baker, S.L., Jagust, W.J., Alzheimer's Disease Neuroimaging, I., Amyloid PET imaging in Alzheimer's disease: a comparison of three radiotracers. Eur. J. Nucl. Med. Mol. Imaging 41 (2014), 1398–1407.
28. Martino, M.E., de Villoria, J.G., Lacalle-Aurioles, M., Olazaran, J., Cruz, I., Navarro, E., Garcia-Vazquez, V., Carreras, J.L., Desco, M., Comparison of different methods of spatial normalization of FDG-PET brain images in the voxel-wise analysis of MCI patients and controls. Ann. Nucl. Med. 27 (2013), 600–609.
29. Matsubara, K., Ibaraki, M., Shimada, H., Ikoma, Y., Suhara, T., Kinoshita, T., Itco, H., Impact of spillover from white matter by partial volume effect on quantification of amyloid deposition with [11C]PiB PET. Neuroimage 143 (2016), 316–324.
30. McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., Stadlan, E.M., Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology 34 (1984), 939–944.
31. Meltzer, C.C., Zubieta, J.K., Brandt, J., Tune, L.E., Mayberg, H.S., Frost, J.J., Regional hypometabolism in Alzheimer's disease as measured by positron emission tomography after correction for effects of partial volume averaging. Neurology 47 (1996), 454–461.
32. Morris, J.C., The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology 43 (1993), 2412–2414.
33. Muller-Gartner, 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. 12 (1992), 571–583.
34. Oh, H., Habeck, C., Madison, C., Jagust, W., Covarying alterations in Abeta deposition, glucose metabolism, and gray matter volume in cognitively normal elderly. Hum. Brain Mapp. 35 (2014), 297–308.
35. 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. 45 (2004), 192–201.
36. Rajapakse, J.C., Giedd, J.N., Rapoport, J.L., Statistical approach to segmentation of single-channel cerebral MR images. IEEE Trans. Med. Imaging 16 (1997), 176–186.
37. Rizzo, G., Castiglioni, I., Russo, G., Tana, M.G., Dell'Acqua, F., Gilardi, M.C., Fazio, F., Cerutti, S., Using deconvolution to improve PET spatial resolution in OSEM iterative reconstruction. Methods Inf. Med. 46 (2007), 231–235.
38. Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.C., Muller, M., pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinforma., 12, 2011, 77.
39. Rodrigue, K.M., Kennedy, K.M., Devous, M.D. Sr., Rieck, J.R., Hebrank, A.C., Diaz-Arrastia, R., Mathews, D., Park, D.C., beta-Amyloid burden in healthy aging: regional distribution and cognitive consequences. Neurology 78 (2012), 387–395.
40. Rousset, O., Ma, Y., Evans, A.C., ROI- versus tissue-based partial-volume correction [abstract]. Neuroimage, 5, 1997, B13.
41. Rousset, O.G., Deep, P., Kuwabara, H., Evans, A.C., Gjedde, A.H., Cumming, P., Effect of partial volume correction on estimates of the influx and cerebral metabolism of 6-[(18)F]fluoro-L-dopa studied with PET in normal control and Parkinson's disease subjects. Synapse 37 (2000), 81–89.
42. Rousset, O.G., Ma, Y., Evans, A.C., Correction for partial volume effects in PET: principle and validation. J. Nucl. Med. 39 (1998), 904–911.
43. Rousset, O.G., Ma, Y., Wong, D.F., Evans, A.C., Pixel- versus region-based partial volume correction in PET. Carson, R.E., Herscovitch, P., Daube-Witherspoon, M.E., (eds.) Quantitative Functional Brain Imaging with Positron Emission Tomography, 1998, Elsevier, Academic Press, San Diego, CA, 67–75.
44. Rullmann, M., Dukart, J., Hoffmann, K.T., Luthardt, J., Tiepolt, S., Patt, M., Gertz, H.J., Schroeter, M.L., Seibyl, J., Schulz-Schaeffer, W.J., Sabri, O., Barthel, H., Partial-volume effect correction improves quantitative analysis of 18F-Florbetaben beta-Amyloid PET scans. J. Nucl. Med. 57 (2016), 198–203.
45. Samuraki, M., Matsunari, I., Chen, W.P., Yajima, K., Yanase, D., Fujikawa, A., Takeda, N., Nishimura, S., Matsuda, H., Yamada, M., Partial volume effect-corrected FDG PET and grey matter volume loss in patients with mild Alzheimer's disease. Eur. J. Nucl. Med. Mol. Imaging 34 (2007), 1658–1669.
46. Schmidt, M.E., Chiao, P., Klein, G., Matthews, D., Thurfjell, L., Cole, P.E., Margolin, R., Landau, S., Foster, N.L., Mason, N.S., De Santi, S., Suhy, J., Koeppe, R.A., Jagust, W., Alzheimer's Disease Neuroimaging, I., The influence of biological and technical factors on quantitative analysis of amyloid PET: points to consider and recommendations for controlling variability in longitudinal data. Alzheimers Dement 11 (2015), 1050–1068.
47. Shen, Q., Zhao, W., Loewenstein, D.A., Potter, E., Greig, M.T., Raj, A., Barker, W., Potter, H., Duara, R., Comparing new templates and atlas-based segmentations in the volumetric analysis of brain magnetic resonance images for diagnosing Alzheimer's disease. Alzheimers Dement 8 (2012), 399–406.
48. Soret, M., Bacharach, S.L., Buvat, I., Partial-volume effect in PET tumor imaging. J. Nucl. Med. 48 (2007), 932–945.
49. Su, Y., Blazey, T.M., Owen, C.J., Christensen, J.J., Friedrichsen, K., Joseph-Mathurin, N., Wang, Q., Hornbeck, R.C., Ances, B.M., Snyder, A.Z., Cash, L.A., Koeppe, R.A., Klunk, W.E., Galasko, D., Brickman, A.M., McDade, E., Ringman, J.M., Thompson, P.M., Saykin, A.J., Ghetti, B., Sperling, R.A., Johnson, K.A., Salloway, S.P., Schofield, P.R., Masters, C.L., Villemagne, V.L., Fox, N.C., Forster, S., Chen, K., Reiman, E.M., Xiong, C., Marcus, D.S., Weiner, M.W., Morris, J.C., Bateman, R.J., Benzinger, T.L., Dominantly Inherited Alzheimer, N., Quantitative amyloid imaging in autosomal dominant Alzheimer's disease: results from the DIAN study group. PLoS One, 11, 2016, e0152082.
50. Su, Y., Blazey, T.M., Snyder, A.Z., Raichle, M.E., Marcus, D.S., Ances, B.M., Bateman, R.J., Cairns, N.J., Aldea, P., Cash, L., Christensen, J.J., Friedrichsen, K., Hornbeck, R.C., Farrar, A.M., Owen, C.J., Mayeux, R., Brickman, A.M., Klunk, W., Price, J.C., Thompson, P.M., Ghetti, B., Saykin, A.J., Sperling, R.A., Johnson, K.A., Schofield, P.R., Buckles, V., Morris, J.C., Benzinger, T.L., Dominantly Inherited Alzheimer, N., Partial volume correction in quantitative amyloid imaging. Neuroimage 107 (2015), 55–64.
51. Sun, F.T., Schriber, R.A., Greenia, J.M., He, J., Gitcho, A., Jagust, W.J., Automated template-based PET region of interest analyses in the aging brain. Neuroimage 34 (2007), 608–617.
52. Teipel, S., Grothe, M.J., Alzheimer s Disease Neuroimaging, I., Does posterior cingulate hypometabolism result from disconnection or local pathology across preclinical and clinical stages of Alzheimer's disease?. Eur. J. Nucl. Med. Mol. Imaging 43 (2016), 526–536.
53. Teipel, S., Heinsen, H., Amaro, E. Jr., Grinberg, L.T., Krause, B., Grothe, M., Alzheimer's Disease Neuroimaging, I., Cholinergic basal forebrain atrophy predicts amyloid burden in Alzheimer's disease. Neurobiol. Aging 35 (2014), 482–491.
54. Teo, B.K., Seo, Y., Bacharach, S.L., Carrasquillo, J.A., Libutti, S.K., Shukla, H., Hasegawa, B.H., Hawkins, R.A., Franc, B.L., Partial-volume correction in PET: validation of an iterative postreconstruction method with phantom and patient data. J. Nucl. Med 48 (2007), 802–810.
55. 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 38 (2011), 1104–1119.
56. Tohka, J., Zijdenbos, A., Evans, A., Fast and robust parameter estimation for statistical partial volume models in brain MRI. Neuroimage 23 (2004), 84–97.
57. Videen, T.O., Perlmutter, J.S., Mintun, M.A., Raichle, M.E., Regional correction of positron emission tomography data for the effects of cerebral atrophy. J. Cereb. Blood Flow. Metab. 8 (1988), 662–670.
58. Villemagne, V.L., Klunk, W.E., Mathis, C.A., Rowe, C.C., Brooks, D.J., Hyman, B.T., Ikonomovic, M.D., Ishii, K., Jack, C.R., Jagust, W.J., Johnson, K.A., Koeppe, R.A., Lowe, V.J., Masters, C.L., Montine, T.J., Morris, J.C., Nordberg, A., Petersen, R.C., Reiman, E.M., Selkoe, D.J., Sperling, R.A., Van Laere, K., Weiner, M.W., Drzezga, A., Abeta Imaging: feasible, pertinent, and vital to progress in Alzheimer's disease. Eur. J. Nucl. Med. Mol. Imaging 39 (2012), 209–219.
59. Wong, D.F., Rosenberg, P.B., Zhou, Y., Kumar, A., Raymont, V., Ravert, H.T., Dannals, R.F., Nandi, A., Brasic, J.R., Ye, W., Hilton, J., Lyketsos, C., Kung, H.F., Joshi, A.D., Skovronsky, D.M., Pontecorvo, M.J., In vivo imaging of amyloid deposition in Alzheimer disease using the radioligand 18F-AV-45 (florbetapir [corrected] F 18). J. Nucl. Med. 51 (2010), 913–920.
60. Yousefi, B.H., von Reutern, B., Scherubl, D., Manook, A., Schwaiger, M., Grimmer, T., Henriksen, G., Forster, S., Drzezga, A., Wester, H.J., FIBT versus florbetaben and PiB: a preclinical comparison study with amyloid-PET in transgenic mice. EJNMMI Res., 5, 2015, 20.