Abstract
Functional imaging of the brain can aid in the diagnosis of Alzheimer’s disease. Tc-HMPAO SPECT is widely available and relatively inexpensive to use. Combined with computer-based analysis of images, SPECT is a powerful tool in detecting decreases in brain perfusion caused by Alzheimer’s disease. However, analysis can falsely elevate the perfusion of normal areas and diminish the perfusion of atrophic areas in the Alzheimer’s brain when used with conventional scaling methods. In this paper, we present a technique for scaling images that overcomes the problems associated with conventional scaling methods. Our technique was successful in eliminating or attenuating the false increases in perfusion shown in probable Alzheimer’s patients in over 90% of cases (n=17), and in enhancing the sensitivity of detection of degenerative changes by Statistical Parametric Mapping.
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Keywords
- Positron Emission Tomography
- Single Photon Emission Compute Tomography
- Single Photon Emission Compute Tomography Image
- Brain Single Photon Emission Compute Tomography
- Proportional Scaling
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Murden, R.A.: The diagnosis of Alzheimer’s Disease. Adv. Exp. Med. Biol. 282 (1990) 59–64
Fox, N.C., Freeborough, P.A., and Rossor, M.N.: Visualization and quantification of rates of atrophy in Alzheimer’s Disease. Lancet. 348 (1996) 94–97
Mayberg, H.S.: Clinical correlates of PET-and SPECT-identified defects in dementia. J. Clin. Psychiatry. 55 (1994) Supplement 12–21
Freeborough, P.A., Woods, R.P. and Fox, N.C.: Accurate registration of serial 3D MR brain images and its application to visualizing change in neurodegenerative disorders. J. Comp. Assisted Tomography. 20(6) (1996) 1012–1022
Freeborough, P.A., and Fox, N.C.: The boundary shift integral: An accurate and robust measure of cerebral volume changes from registered repeat MRI. IEEE Trans. Med. Imag. 16(5) (1997) 623–629
Fox, N.C. and Freeborough, P.A.: Brain atrophy progression measured from registered serial MRI: validation and application to Alzheimer’s Disease. J. Magn. Reson. Imag. 7(6) (1997) 1069–1075
Aylward, E.H., Rasmusson, D.X., Brandt, J., Raimundo, L., Folstein, M., and Pearlson, G.D.: CT measurement of suprasellar cistern predicts rate of cognitive decline in Alzheimer’s Disease. J. Int. Neuropsychol. Soc. 2(2) (1996) 89–95
Azari, N.P., Pettigrew, K.D., Schapiro, M.B., Haxby, J.V., Grady, C.L., Pietrini, P., Salerno, J.A., Heston, L.L., Rapoport, S.I., and Horwitz, B.: Early detection of Alzheimer’s Disease: a statistical approach using Positron Emission Tomographic data. J. Cereb. Blood Flow and Metab. 13 (1993) 438–447
McMurdo, M.E., Grant, D.J., Kennedy, N.S., Gilchrist, J., Findlay, D., and McLennan, J.M.: The value of HMPAO SPECT scanning in the diagnosis of early Alzheimer’s Disease in patients attending a memory clinic. Nucl. Med. Commun. 15(6) (1994) 405–9
Golan, H., Kremer, J., Freedman, M., and Ichise, M.: Usefulness of follow-up regional cerebral blood flow measurements by Single Photon Emission Computed Tomography in the differential diagnosis of dementia. J. Neuroimaging. 6(1) (1996) 23–28
D’Asseler, Y.M., Koole, M., Lemahieu, I., Achten, E., Boon, P., De Deyn, P.P., and Dierckx, R.A.: Recent and future evolutions in neuroSPECT with particular emphasis on the synergistic use and fusion of imaging modalities. Acta Neurol. Belg. 97(3) (1997) 154–62
Eagger, S., Syed, G.M.S., Burns, A., Barette, J.J., and Levy, R.: Morphological (CT) and functional (rCBF SPECT) correlates in Alzheimer’s Disease. Nucl. Med. Commun. 13 (1992) 644–647
Friston, K.J., Holmes, A.P., Worsley, K.J., Poline, J.P., Frith, C.D., and Frackowiak R.S.J.: Statistical Parametric Maps in Functional Imaging: A General Linear Approach. Human Br. Mapping. 2 (1995) 189–210
Friston, K.J.: Statistical Parametric Mapping: Ontology and Current Issues. J. Cerebral. Blood Flow. 15 (1995) 361–370
Woods, R.P.: Automated Image Registration software for Unix, version 3.0. Available through the Internet at the URL: http://bishopw.loni.ucla.edu/AIR3/index.html. (1995–98)
Friston, K., Ashburner, J., Heather, J., Holmes, A., Poline, J-B., et al.: SPM Software. Wellcome Department of Cognitive Neurology. URL: http://www.fil.ion.ucl.ac.uk/spm/. (1994–1998)
Talairach, P. and Tournoux, J.: A stereotactic coplanar atlas of the human brain. Thieme, Stuttgart, Germany. (1988)
Pavel, D.G., Thompson, D., Patel, B., Lin, Q., Brint, S., Dujovny, M., and Ibanez, V.: Evaluation of brain SPECT changes using Statistical Parametric Mapping following diatnox challenge. J. Nucl. Med. 38 (1997) 280
Pavel, D.G., Horwitz, B., Saxena, P., Schapiro, M.B., Pietrini, P., and Ibanez, V.: Quantification of Alzheimer’s PET Images using a special scaling method and Statistic Parametric Mapping. Soc. For Neurosci. Ann. Meeting. New Orleans. Vol 23 (1997), 563
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Saxena, P., Pavel, D.G., Quintana, J.C., Horwitz, B. (1998). An automatic threshold-based scaling method for enhancing the usefulness of Tc-HMPAO SPECT in the diagnosis of Alzheimer’s disease. In: Wells, W.M., Colchester, A., Delp, S. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI’98. MICCAI 1998. Lecture Notes in Computer Science, vol 1496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056248
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DOI: https://doi.org/10.1007/BFb0056248
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