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Similar articles for PubMed (Select 19610308)

1.

Measurement of MRI scanner performance with the ADNI phantom.

Gunter JL, Bernstein MA, Borowski BJ, Ward CP, Britson PJ, Felmlee JP, Schuff N, Weiner M, Jack CR.

Med Phys. 2009 Jun;36(6):2193-205.

2.

Improved volumetric measurement of brain structure with a distortion correction procedure using an ADNI phantom.

Maikusa N, Yamashita F, Tanaka K, Abe O, Kawaguchi A, Kabasawa H, Chiba S, Kasahara A, Kobayashi N, Yuasa T, Sato N, Matsuda H, Iwatsubo T; Japanese Alzheimer’s Disease Neuroimaging Initiative.

Med Phys. 2013 Jun;40(6):062303. doi: 10.1118/1.4801913.

PMID:
23718605
3.

Comparison of phantom and registration scaling corrections using the ADNI cohort.

Clarkson MJ, Ourselin S, Nielsen C, Leung KK, Barnes J, Whitwell JL, Gunter JL, Hill DL, Weiner MW, Jack CR Jr, Fox NC; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2009 Oct 1;47(4):1506-13. doi: 10.1016/j.neuroimage.2009.05.045. Epub 2009 May 27.

4.

A volume resolution phantom for MRI.

Moon SY, Hornak JP.

Magn Reson Imaging. 2010 Feb;28(2):286-9. doi: 10.1016/j.mri.2009.07.002. Epub 2009 Aug 19.

PMID:
19695820
5.

Reducing between scanner differences in multi-center PET studies.

Joshi A, Koeppe RA, Fessler JA.

Neuroimage. 2009 May 15;46(1):154-9. doi: 10.1016/j.neuroimage.2009.01.057. Epub 2009 Feb 6.

6.

Cross-camera comparison of SPECT measurements of a 3-D anthropomorphic basal ganglia phantom.

Koch W, Radau PE, Münzing W, Tatsch K.

Eur J Nucl Med Mol Imaging. 2006 Apr;33(4):495-502. Epub 2006 Jan 25.

PMID:
16435116
7.

The design and implementation of a motion correction scheme for neurological PET.

Bloomfield PM, Spinks TJ, Reed J, Schnorr L, Westrip AM, Livieratos L, Fulton R, Jones T.

Phys Med Biol. 2003 Apr 21;48(8):959-78.

PMID:
12741495
8.

The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.

Jack CR Jr, Bernstein MA, Fox NC, Thompson P, Alexander G, Harvey D, Borowski B, Britson PJ, L Whitwell J, Ward C, Dale AM, Felmlee JP, Gunter JL, Hill DL, Killiany R, Schuff N, Fox-Bosetti S, Lin C, Studholme C, DeCarli CS, Krueger G, Ward HA, Metzger GJ, Scott KT, Mallozzi R, Blezek D, Levy J, Debbins JP, Fleisher AS, Albert M, Green R, Bartzokis G, Glover G, Mugler J, Weiner MW.

J Magn Reson Imaging. 2008 Apr;27(4):685-91. doi: 10.1002/jmri.21049.

9.

The Italian Alzheimer's Disease Neuroimaging Initiative (I-ADNI): validation of structural MR imaging.

Cavedo E, Redolfi A, Angeloni F, Babiloni C, Lizio R, Chiapparini L, Bruzzone MG, Aquino D, Sabatini U, Alesiani M, Cherubini A, Salvatore E, Soricelli A, Vernieri F, Scrascia F, Sinforiani E, Chiarati P, Bastianello S, Montella P, Corbo D, Tedeschi G, Marino S, Baglieri A, De Salvo S, Carducci F, Quattrocchi CC, Cobelli M, Frisoni GB.

J Alzheimers Dis. 2014;40(4):941-52. doi: 10.3233/JAD-132666.

PMID:
24577455
10.

Magnetic-resonance-imaging-coupled broadband near-infrared tomography system for small animal brain studies.

Xu H, Springett R, Dehghani H, Pogue BW, Paulsen KD, Dunn JF.

Appl Opt. 2005 Apr 10;44(11):2177-88.

PMID:
15835363
11.

Attenuation correction for flexible magnetic resonance coils in combined magnetic resonance/positron emission tomography imaging.

Eldib M, Bini J, Calcagno C, Robson PM, Mani V, Fayad ZA.

Invest Radiol. 2014 Feb;49(2):63-9. doi: 10.1097/RLI.0b013e3182a530f8.

12.

A complete distortion correction for MR images: I. Gradient warp correction.

Doran SJ, Charles-Edwards L, Reinsberg SA, Leach MO.

Phys Med Biol. 2005 Apr 7;50(7):1343-61. Epub 2005 Mar 16.

PMID:
15798328
13.

Locally linear embedding (LLE) for MRI based Alzheimer's disease classification.

Liu X, Tosun D, Weiner MW, Schuff N; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2013 Dec;83:148-57. doi: 10.1016/j.neuroimage.2013.06.033. Epub 2013 Jun 21.

14.

Assessment of reliability of multi-site neuroimaging via traveling phantom study.

Gouttard S, Styner M, Prastawa M, Piven J, Gerig G.

Med Image Comput Comput Assist Interv. 2008;11(Pt 2):263-70.

15.

Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST.

Mulder ER, de Jong RA, Knol DL, van Schijndel RA, Cover KS, Visser PJ, Barkhof F, Vrenken H; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2014 May 15;92:169-81. doi: 10.1016/j.neuroimage.2014.01.058. Epub 2014 Feb 9.

PMID:
24521851
16.

Simultaneous PET/MR imaging: MR-based attenuation correction of local radiofrequency surface coils.

Paulus DH, Braun H, Aklan B, Quick HH.

Med Phys. 2012 Jul;39(7):4306-15. doi: 10.1118/1.4729716.

PMID:
22830764
17.

Whole brain quantitative T2 MRI across multiple scanners with dual echo FSE: applications to AD, MCI, and normal aging.

Bauer CM, Jara H, Killiany R; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2010 Aug 15;52(2):508-14. doi: 10.1016/j.neuroimage.2010.04.255. Epub 2010 May 2.

18.

Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier.

Abdulkadir A, Mortamet B, Vemuri P, Jack CR Jr, Krueger G, Klöppel S; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2011 Oct 1;58(3):785-92. doi: 10.1016/j.neuroimage.2011.06.029. Epub 2011 Jun 25.

19.

Manifold population modeling as a neuro-imaging biomarker: application to ADNI and ADNI-GO.

Guerrero R, Wolz R, Rao AW, Rueckert D; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Neuroimage. 2014 Jul 1;94:275-86. doi: 10.1016/j.neuroimage.2014.03.036. Epub 2014 Mar 21.

PMID:
24657351
20.

Imaging characteristics of a 3-dimensional GSO whole-body PET camera.

Surti S, Karp JS.

J Nucl Med. 2004 Jun;45(6):1040-9.

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