Evaluation of Two Automated Methods for PET Region of Interest Analysis

Neuroinformatics

Volumn 12, Issue 4, 2014, Pages 551-562

  Schain, Martin ^a,b   Varnäs, Katarina ^a   Cselényi, Zsolt ^a,c   Halldin, Christer ^a,b   Farde, Lars ^a,b,c   Varrone, Andrea ^a,b  

^a KAROLINSKA INSTITUTE   (Sweden)

^b Stockholm Brain Institute   (Sweden)

^c ASTRAZENECA   (United Kingdom)

Author keywords

AAL (RRID:nlx_157677); FreeSurfer (RRID:nif 0000 00304); PET; Region of interest; 11C AZ10419369; 11C AZD2184

Indexed keywords

AMYLOID BETA PROTEIN; RADIOPHARMACEUTICAL AGENT; SEROTONIN 1B RECEPTOR;

ADULT; AGED; ANALYSIS OF VARIANCE; BRAIN; BRAIN MAPPING; EVALUATION STUDY; FEMALE; HUMAN; IMAGE PROCESSING; MALE; METABOLISM; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; PROCEDURES; REPRODUCIBILITY; SCINTISCANNING; STATISTICAL MODEL; YOUNG ADULT;

ADULT; AGED; AMYLOID BETA-PEPTIDES; ANALYSIS OF VARIANCE; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS; RECEPTOR, SEROTONIN, 5-HT1B; REPRODUCIBILITY OF RESULTS; YOUNG ADULT;

EID: 84911003437     PISSN: 15392791     EISSN: 15590089     Source Type: Journal    
DOI: 10.1007/s12021-014-9233-6     Document Type: Article

References (44)

1. 11C]AZD2184: positron emission tomography examination and metabolite analysis in cynomolgus monkeys. Synapse, 64(10), 733–741. doi:10.1002/syn.20782.
2. Bahar-Fuchs, A., Villemagne, V., Ong, K., Chetelat, G., Lamb, F., Reininger, C. B., et al. (2013). Prediction of amyloid-beta pathology in amnestic mild cognitive impairment with neuropsychological tests. Journal of Alzheimer’s Disease, 33(2), 451–462. doi:10.3233/JAD-2012-121315.
3. Bergstrom, M., Boethius, J., Eriksson, L., Greitz, T., Ribbe, T., & Widen, L. (1981). Head fixation device for reproducible position alignment in transmission CT and positron emission tomography. Journal of Computer Assisted Tomography, 5(1), 136–141.
4. Collins, D. L., Zijdenbos, A. P., Kollokian, V., Sled, J. G., Kabani, N. J., Holmes, C. J., et al. (1998). Design and construction of a realistic digital brain phantom. IEEE Transactions on Medical Imaging, 17(3), 463–468. doi:10.1109/42.712135.
5. 18F-AZD4694, an amyloid-beta-specific PET radioligand. Journal of Nuclear Medicine, 53(3), 415–424. doi:10.2967/jnumed.111.094029.
6. 18F](N-methyl)benperidol using PET. Synapse, 66(9), 770–780. doi:10.1002/syn.21566.
7. Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., et al. (2002). Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron, 33(3), 341–355.
8. Fischl, B., Salat, D. H., van der Kouwe, A. J., Makris, N., Segonne, F., Quinn, B. T., et al. (2004a). Sequence-independent segmentation of magnetic resonance images. NeuroImage, 23(Suppl 1), S69–S84. doi:10.1016/j.neuroimage.2004.07.016.
9. Fischl, B., van der Kouwe, A., Destrieux, C., Halgren, E., Segonne, F., Salat, D. H., et al. (2004b). Automatically parcellating the human cerebral cortex. Cerebral Cortex, 14(1), 11–22.
10. Forsberg, A., Engler, H., Blomquist, G., Langstrom, B., & Nordberg, A. (2012). The use of PIB-PET as a dual pathological and functional biomarker in AD. Biochimica et Biophysica Acta, 1822(3), 380–385. doi:10.1016/j.bbadis.2011.11.006.
11. 11C]AZD2184 in Alzheimer’s disease patients. European Journal of Nuclear Medicine and Molecular Imaging. doi:10.1007/s00259-012-2322-6.
12. Gronenschild, E. H., Habets, P., Jacobs, H. I., Mengelers, R., Rozendaal, N., van Os, J., et al. (2012). The effects of FreeSurfer version, workstation type, and Macintosh operating system version on anatomical volume and cortical thickness measurements. PLoS One, 7(6), e38234. doi:10.1371/journal.pone.0038234.
13. Johnson, K. A., Sperling, R. A., Gidicsin, C. M., Carmasin, J. S., Maye, J. E., Coleman, R. E., et al. (2013). Florbetapir (F18-AV-45) PET to assess amyloid burden in Alzheimer’s disease dementia, mild cognitive impairment, and normal aging. Alzheimers Dement. doi:10.1016/j.jalz.2012.10.007.
14. Lammertsma, A. A., & Hume, S. P. (1996). Simplified reference tissue model for PET receptor studies. NeuroImage, 4(3 Pt 1), 153–158. doi:10.1006/nimg.1996.0066.
15. Lehmann, M., Douiri, A., Kim, L. G., Modat, M., Chan, D., Ourselin, S., et al. (2010). Atrophy patterns in Alzheimer’s disease and semantic dementia: a comparison of FreeSurfer and manual volumetric measurements. NeuroImage, 49(3), 2264–2274. doi:10.1016/j.neuroimage.2009.10.056.
16. McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30–46. doi:10.1037/1082-989x.1.1.30.
17. Mengod, G., Cortés, R., Vilaró, M. T., Hoyer, D. (2010). Distribution of 5-HT receptors in the Cnetral Nervous System. In C. Müller, & B. Jacobs (Eds.), Handbook of behavioral neurobiology of serotonin (1 ed., Vol. 1, pp. 123–138). London: Elsevier Academic Press.
18. Mosconi, L., De Santi, S., Rusinek, H., Convit, A., & de Leon, M. J. (2004). Magnetic resonance and PET studies in the early diagnosis of Alzheimer’s disease. Expert Review of Neurotherapeutics, 4(5), 831–849. doi:10.1586/14737175.4.5.831.
19. 11C]AZD2184. European Journal of Nuclear Medicine and Molecular Imaging, 36(11), 1859–1863. doi:10.1007/s00259-009-1182-1.
20. 11C]AZ10419369: a selective 5-HT1B receptor radioligand suitable for positron emission tomography (PET). Characterization in the primate brain. NeuroImage, 41(3), 1075–1085. doi:10.1016/j.neuroimage.2008.02.063.
21. Rajah, M. N., & D’Esposito, M. (2005). Region-specific changes in prefrontal function with age: a review of PET and fMRI studies on working and episodic memory. Brain, 128(Pt 9), 1964–1983. doi:10.1093/brain/awh608.
22. Roland, P. E., Eriksson, L., Stone-Elander, S., & Widen, L. (1987). Does mental activity change the oxidative metabolism of the brain? Journal of Neuroscience, 7(8), 2373–2389.
23. Rosario, B. L., Weissfeld, L. A., Laymon, C. M., Mathis, C. A., Klunk, W. E., Berginc, M. D., et al. (2011). Inter-rater reliability of manual and automated region-of-interest delineation for PiB PET. NeuroImage, 55(3), 933–941. doi:10.1016/j.neuroimage.2010.12.070.
24. Rousset, O. G., Ma, Y., & Evans, A. C. (1998). Correction for partial volume effects in PET: principle and validation. Journal of Nuclear Medicine, 39(5), 904–911.
25. Rowe, C. C., Ellis, K. A., Rimajova, M., Bourgeat, P., Pike, K. E., Jones, G., et al. (2010). Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging. Neurobiology of Aging, 31(8), 1275–1283. doi:10.1016/j.neurobiolaging.2010.04.007.
26. Rusjan, P., Mamo, D., Ginovart, N., Hussey, D., Vitcu, I., Yasuno, F., et al. (2006). An automated method for the extraction of regional data from PET images. Psychiatry Research, 147(1), 79–89. doi:10.1016/j.pscychresns.2006.01.011.
27. Savitz, J. B., & Drevets, W. C. (2012). Neuroreceptor imaging in depression. Neurobiology of Disease. doi:10.1016/j.nbd.2012.06.001.
28. Savli, M., Bauer, A., Mitterhauser, M., Ding, Y. S., Hahn, A., Kroll, T., et al. (2012). Normative database of the serotonergic system in healthy subjects using multi-tracer PET. NeuroImage, 63(1), 447–459. doi:10.1016/j.neuroimage.2012.07.001.
29. Schmahmann, J. D., Doyon, J., McDonald, D., Holmes, C., Lavoie, K., Hurwitz, A. S., et al. (1999). Three-dimensional MRI atlas of the human cerebellum in proportional stereotaxic space. NeuroImage, 10(3 Pt 1), 233–260. doi:10.1006/nimg.1999.0459.
30. Shen, L., Saykin, A. J., Kim, S., Firpi, H. A., West, J. D., Risacher, S. L., et al. (2010). Comparison of manual and automated determination of hippocampal volumes in MCI and early AD. Brain Imaging and Behavior, 4(1), 86–95. doi:10.1007/s11682-010-9088-x.
31. Shrout, P. E. (1998). Measurement reliability and agreement in psychiatry. Statistical Methods in Medical Research, 7(3), 301–317.
32. Sibomana, M., Byars, L., Panin, V., Lenox, M., Kehren, F., Rist, J., et al. (2004) Simultaneous measurement of transmission and emission contamination using a collimated Cs-137 point source for the HRRT. In Nuclear Science Symposium/Medical Imaging Conference, Rome, ITALY, OCT 16–22, 2004 (Vol. 1–7, pp. 2647–2651).
33. Svarer, C., Madsen, K., Hasselbalch, S. G., Pinborg, L. H., Haugbol, S., Frokjaer, V. G., et al. (2005). MR-based automatic delineation of volumes of interest in human brain PET images using probability maps. NeuroImage, 24(4), 969–979. doi:10.1016/j.neuroimage.2004.10.017.
34. 11C]PIB-amyloid binding and levels of Abeta40 and Abeta42 in postmortem brain tissue from Alzheimer patients. Neurochemistry International, 54(5–6), 347–357. doi:10.1016/j.neuint.2008.12.016.
35. Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., et al. (2002). Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage, 15(1), 273–289. doi:10.1006/nimg.2001.0978.
36. 3H]GR 125743. Brain Research, 915(1), 47–57.
37. Varnas, K., Halldin, C., & Hall, H. (2004). Autoradiographic distribution of serotonin transporters and receptor subtypes in human brain. Human Brain Mapping, 22(3), 246–260. doi:10.1002/Hbm.20035.
38. 11C]AZ10419369 binding to 5-HT1B receptors in human brain. Journal of Cerebral Blood Flow and Metabolism, 31(1), 113–123. doi:10.1038/jcbfm.2010.55.
39. Varrone, A., Sjoholm, N., Eriksson, L., Gulyas, B., Halldin, C., & Farde, L. (2009). Advancement in PET quantification using 3D-OP-OSEM point spread function reconstruction with the HRRT. European Journal of Nuclear Medicine and Molecular Imaging, 36(10), 1639–1650. doi:10.1007/s00259-009-1156-3.
40. Varrone, A., Svenningsson, P., Forsberg, A., Varnas, K., Tiger, M., Nakao, R., et al. (2014). Positron emission tomography imaging of 5-hydroxytryptamine1B receptors in Parkinson’s disease. Neurobiology of Aging, 35(4), 867–875. doi:10.1016/j.neurobiolaging.2013.08.025.
41. Watson, C. C. (2000). New, faster, image-based scatter correction for 3D PET. IEEE Transactions on Nuclear Science, 47(4), 1587–1594. doi:10.1109/23.873020.
42. Watson, C. C., Newport, D., Casey, M. E., DeKemp, R. A., Beanlands, R. S., & Schmand, M. (1997). Evaluation of simulation-based scatter correction for 3-D PET cardiac imaging. IEEE Transactions on Nuclear Science, 44(1), 90–97. doi:10.1109/23.554831.
43. Wienhard, K., Dahlbom, M., Eriksson, L., Michel, C., Bruckbauer, T., Pietrzyk, U., et al. (1994). The ECAT EXACT HR: performance of a new high resolution positron scanner. Journal of Computer Assisted Tomography, 18(1), 110–118.
44. Yasuno, F., Hasnine, A. H., Suhara, T., Ichimiya, T., Sudo, Y., Inoue, M., et al. (2002). Template-based method for multiple volumes of interest of human brain PET images. NeuroImage, 16(3 Pt 1), 577–586.