Measuring brain atrophy with a generalized formulation of the boundary shift integral

Neurobiology of Aging

Volumn 36, Issue S1, 2015, Pages S81-S90

  Prados, Ferran ^a,b   Cardoso, Manuel Jorge ^a   Leung, Kelvin K ^b   Cash, David M ^a,b   Modat, Marc ^a,b   Fox, Nick C ^b   Wheeler Kingshott, Claudia A M ^b   Ourselin, Sebastien ^a,b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Alzheimer's disease; Biomarker; Boundary shift integral; Clinical trials; MRI

Indexed keywords

ADULT; AGED; ALZHEIMER DISEASE; ARTICLE; BRAIN ATROPHY; CONTROLLED STUDY; FUZZY LOGIC; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; NEUROANATOMY; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY; SAMPLE SIZE; SENSITIVITY ANALYSIS; TIME; VERY ELDERLY; ATROPHY; BRAIN; COMPARATIVE STUDY; DIFFUSION WEIGHTED IMAGING; FEMALE; MALE; NEUROIMAGING; PATHOLOGY; PROCEDURES;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; ATROPHY; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; MALE; MIDDLE AGED; NEUROIMAGING;

EID: 84916613996     PISSN: 01974580     EISSN: 15581497     Source Type: Journal    
DOI: 10.1016/j.neurobiolaging.2014.04.035     Document Type: Article

References (37)

1. Anderson V.M., Fox N.C., Miller D.H. Magnetic resonance imaging measures of brain atrophy in multiple sclerosis. J.Magn. Reson. Imaging 2006, 23:605-618.
2. Boyes R.G., Gunter J.L., Frost C., Janke A.L., Yeatman T., Hill D.L.G., Bernstein M.A., Thompson P.M., Weiner M.W., Schuff N., Alexander G.E., Killiany R.J., DeCarli C., Jack C.R., Fox N.C. Intensity non-uniformity correction using N3 on 3-T scanners with multichannel phased array coils. Neuroimage 2008, 39:1752-1762.
3. Camara O., Schnabel J.A., Ridgway G.R., Crum W.R., Douiri A., Scahill R.I., Hill D.L.G., Fox N.C. Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer's disease images. Neuroimage 2008, 42:696-709.
4. Cardoso M.J., Leung K., Modat M., Keihaninejad S., Cash D., Barnes J., Fox N.C., Ourselin S. STEPS: similarity and truth estimation for propagated segmentations and its application to hippocampal segmentation and brain parcelation. Med. Image Anal. 2013, 17:671-684.
5. Duran-Dubief F., Belaroussi B., Armspach J.-P., Roggerone S., Vukusic S., Hannoun S., Cotton F. Reliability of longitudinal brain volume loss measurements between 2 sites in patients with multiple sclerosis: comparison of 7 quantification techniques. AJNR Am. J. Neuroradiol. 2012, 33:1918-1924.
6. Fox N.C., Cousens S., Scahill R., Harvey R.J., Rossor M.N. Using serial registered brain magnetic resonance imaging to measure disease progression in Alzheimer disease. Arch. Neurol. 2000, 57:339-344.
7. Freeborough P.A., Fox N.C. The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI. IEEE Trans. Med. Imaging 1997, 16:623-629.
8. Frisoni G.B., Fox N.C., Jack C.R., Scheltens P., Thompson P.M. The clinical use of structural MRI in Alzheimer disease. Nat. Rev. Neurol. 2010, 6:67-77.
9. Grill J.D., Di L., Lu P.H., Lee C., Ringman J., Apostolova L.G., Chow N., Kohannim O., Cummings J.L., Thompson P.M., Elashoff D. Estimating sample sizes for predementia Alzheimer's trials based on the Alzheimer's Disease Neuroimaging Initiative. Neurobiol. Aging 2013, 34:62-72.
10. Gunter J., Bernstein M., Borowski B., Felmlee J., Blezek D., Mallozzi R., Levy J., Schuff N., Jack C. Validation Testing of the MRI Calibration Phantom for the Alzheimer's Disease Neuroimaging Initiative Study 2006, 2652. ISMRM.
11. Gustaw-Rothenberg K., Lerner A., Bonda D. Biomarkers in Alzheimer's disease: past, present and future. Biomarkers Med. 2010, 4:15-26.
12. Hobbs N.Z., Henley S.M.D., Wild E.J., Leung K.K., Frost C., Barker R.A., Scahill R.I., Barnes J., Tabrizi S.J., Fox N.C. Automated quantification of caudate atrophy by local registration of serial MRI: evaluation and application in Huntington's disease. Neuroimage 2009, 47:1659-1665.
13. Holland D., Dale A.M. Nonlinear registration of longitudinal images and measurement of change in regions of interest. Med. image Anal. 2011, 15:489-497.
14. Holland D., McEvoy L.K., Dale A.M. Unbiased comparison of sample size estimates from longitudinal structural measures in ADNI. Hum. Brain Mapp. 2012, 33:2586-2602.
15. Hua X., Hibar D.P., Ching C.R.K., Boyle C.P., Rajagopalan P., Gutman B.A., Leow A.D., Toga A.W., Jack C.R., Harvey D., Weiner M.W., Thompson P.M. Unbiased tensor-based morphometry: improved robustness and sample size estimates for Alzheimer's disease clinical trials. Neuroimage 2013, 66:648-661.
16. Jovicich J., Czanner S., Greve D., Haley E., van der Kouwe A., Gollub R., Kennedy D., Schmitt F., Brown G., Macfall J., Fischl B., Dale A. Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data. Neuroimage 2006, 30:436-443.
17. Ledig, C., Wolz, R., Aljabar, P., Lötjöven, J., Rueckert, D., 2012. PBSI: a symmetric probabilistic extension of the boundary shift integral. In: workshop on novel imaging biomarkers for Alzheimer's disease and related disorders (MICCAI'12). p. 117-24.
18. Leung K.K., Barnes J., Ridgway G.R., Bartlett J.W., Clarkson M.J., Macdonald K., Schuff N., Fox N.C., Ourselin S. Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease. Neuroimage 2010, 51:1345-1359.
19. Leung K.K., Clarkson M.J., Bartlett J.W., Clegg S.L., Jack C.R., Weiner M.W., Fox N.C., Ourselin S. Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: tissue-specific intensity normalization and parameter selection. Neuroimage 2010, 50:516-523.
20. Leung K.K., Ridgway G.R., Ourselin S., Fox N.C. Consistent multi-time-point brain atrophy estimation from the boundary shift integral. Neuroimage 2012, 59:3995-4005.
21. Lewis E.B., Fox N.C. Correction of differential intensity inhomogeneity in longitudinal MR images. Neuroimage 2004, 23:75-83.
22. Lindley D.V. The probability approach to the treatment of uncertainty in artificial intelligence and expert systems. Stat. Sci. 1987, 2:3-44.
23. Manjón J.V., Tohka J., Robles M. Improved estimates of partial volume coefficients from noisy brain MRI using spatial context. Neuroimage 2010, 53:480-490.
24. Modat M., Cash D.M., Daga P., Winston G.P., Duncan J.S., Ourselin S. Asymmetric block-matching framework for global registration. SPIE Medical Imaging 2014 2014, 9034-9048. Sebastien Ourselin, San Diego, CA, USA. S. Martin A (Ed.).
25. Narayana P., Brey W., Kulkarni M., Sievenpiper C. Compensation for surface coil sensitivity variation in magnetic resonance imaging. Magn. Reson. Imaging 1988, 6:271-274.
26. Ourselin S., Roche A., Subsol G., Pennec X., Ayache N. Reconstructing a 3D structure from serial histological sections. Image Vis. Comput. 2001, 19:25-31.
27. Reuter M., Rosas H.D., Fischl B. Highly accurate inverse consistent registration: a robust approach. Neuroimage 2010, 53:1181-1196.
28. Reuter M., Schmansky N.J., Rosas H.D., Fischl B. Within-subject template estimation for unbiased longitudinal image analysis. Neuroimage 2012, 61:1402-1418.
29. Schott J.M., Bartlett J.W., Barnes J., Leung K.K., Ourselin S., Fox N.C. Reduced sample sizes for atrophy outcomes in Alzheimer's disease trials: baseline adjustment. Neurobiol. Aging 2010, 31:1452-1462.
30. Schuster D.P. The opportunities and challenges of developing imaging biomarkers to study lung function and disease. Am. J. Respir. Crit. Care Med. 2007, 176:224-230.
31. Sharma S., Noblet V., Rousseau F., Heitz F., Rumbach L., Armspach J.P. Evaluation of brain atrophy estimation algorithms using simulated ground-truth data. Med. image Anal. 2010, 14:373-389.
32. Sled J., Zijdenbos A., Evans A. Anonparametric method for automatic correction of intensity nonuniformity in MRI data. Med. Imaging IEEE Trans. 1998, 17:87-97.
33. Sluimer J.D., Bouwman F.H., Vrenken H., Blankenstein M.A., Barkhof F., van der Flier W.M., Scheltens P. Whole-brain atrophy rate and CSF biomarker levels in MCI and AD: a longitudinal study. Neurobiol. Aging 2010, 31:758-764.
34. Smith S.M., De Stefano N., Jenkinson M., Matthews P.M. Normalized accurate measurement of longitudinal brain change. J.Comput. Assist. Tomogr. 2001, 25:466-475.
35. Smith S.M., Rao A., De Stefano N., Jenkinson M., Schott J.M., Matthews P.M., Fox N.C. Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: cross-validation of BSI, SIENA and SIENAX. Neuroimage 2007, 36:1200-1206.
36. Smith S.M., Zhang Y., Jenkinson M., Chen J., Matthews P.M., Federico A., De Stefano N. Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 2002, 17:479-489.
37. Wyman B.T., Harvey D.J., Crawford K., Bernstein M.A., Carmichael O., Cole P.E., Crane P.K., DeCarli C., Fox N.C., Gunter J.L., Hill D., Killiany R.J., Pachai C., Schwarz A.J., Schuff N., Senjem M.L., Suhy J., Thompson P.M., Weiner M., Jack C.R. Standardization of analysis sets for reporting results from ADNI MRI data. Alzheimer's Dement. 2013, 9:332-337.