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Items: 1 to 20 of 97

1.

Stability effects on results of diffusion tensor imaging analysis by reduction of the number of gradient directions due to motion artifacts: an application to presymptomatic Huntington's disease.

Müller HP, Süssmuth SD, Landwehrmeyer GB, Ludolph A, Tabrizi SJ, Kloppel S, Kassubek J.

Version 2. PLoS Curr. 2011 Dec 12 [revised 2012 Jan 1];3:RRN1292.

2.

Impact of the control for corrupted diffusion tensor imaging data in comparisons at the group level: an application in Huntington disease.

Müller HP, Kassubek J, Grön G, Sprengelmeyer R, Ludolph AC, Klöppel S, Hobbs NZ, Roos RA, Duerr A, Tabrizi SJ, Orth M, Süssmuth SD, Landwehrmeyer GB.

Biomed Eng Online. 2014 Sep 1;13:128. doi: 10.1186/1475-925X-13-128.

3.

Optimization of acquisition parameters of diffusion-tensor magnetic resonance imaging in the spinal cord.

Lee JW, Kim JH, Kang HS, Lee JS, Choi JY, Yeom JS, Kim HJ, Chung HW.

Invest Radiol. 2006 Jul;41(7):553-9.

PMID:
16772848
4.

High-resolution diffusion tensor imaging of the human kidneys using a free-breathing, multi-slice, targeted field of view approach.

Chan RW, Von Deuster C, Stoeck CT, Harmer J, Punwani S, Ramachandran N, Kozerke S, Atkinson D.

NMR Biomed. 2014 Nov;27(11):1300-12. doi: 10.1002/nbm.3190. Epub 2014 Sep 15.

5.

The impact of post-processing on spinal cord diffusion tensor imaging.

Mohammadi S, Freund P, Feiweier T, Curt A, Weiskopf N.

Neuroimage. 2013 Apr 15;70:377-85. doi: 10.1016/j.neuroimage.2012.12.058. Epub 2013 Jan 5.

6.

Adverse effects of metallic artifacts on voxel-wise analysis and tract-based spatial statistics in diffusion tensor imaging.

Goto M, Abe O, Hata J, Fukunaga I, Shimoji K, Kunimatsu A, Gomi T.

Acta Radiol. 2017 Feb;58(2):211-217. doi: 10.1177/0284185116641348. Epub 2016 Jul 19.

PMID:
27069095
7.

The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort.

Roalf DR, Quarmley M, Elliott MA, Satterthwaite TD, Vandekar SN, Ruparel K, Gennatas ED, Calkins ME, Moore TM, Hopson R, Prabhakaran K, Jackson CT, Verma R, Hakonarson H, Gur RC, Gur RE.

Neuroimage. 2016 Jan 15;125:903-919. doi: 10.1016/j.neuroimage.2015.10.068. Epub 2015 Oct 28.

8.

Effects of rejecting diffusion directions on tensor-derived parameters.

Chen Y, Tymofiyeva O, Hess CP, Xu D.

Neuroimage. 2015 Apr 1;109:160-70. doi: 10.1016/j.neuroimage.2015.01.010. Epub 2015 Jan 10.

9.

Dependence of brain DTI maps of fractional anisotropy and mean diffusivity on the number of diffusion weighting directions.

Giannelli M, Cosottini M, Michelassi MC, Lazzarotti G, Belmonte G, Bartolozzi C, Lazzeri M.

J Appl Clin Med Phys. 2009 Dec 23;11(1):2927.

PMID:
20160677
10.

[Influence exerted by MPG-directions on diffusion tensor imaging (DTI)].

Hamaguchi A, Kodera S.

Nihon Hoshasen Gijutsu Gakkai Zasshi. 2009 Jul 20;65(7):913-20. Japanese.

11.

Stability of white matter changes related to Huntington's disease in the presence of imaging noise: a DTI study.

Müller HP, Glauche V, Novak MJ, Nguyen-Thanh T, Unrath A, Lahiri N, Read J, Say MJ, Tabrizi SJ, Kassubek J, Kloppel S.

PLoS Curr. 2011 Jun 7;3:RRN1232. doi: 10.1371/currents.RRN1232.

12.

Diffusion tensor imaging of the brain: effects of distortion correction with correspondence to numbers of encoding directions.

Yoshikawa T, Aoki S, Abe O, Hayashi N, Masutani Y, Masumoto T, Mori H, Satake Y, Ohtomo K.

Radiat Med. 2008 Oct;26(8):481-7. doi: 10.1007/s11604-008-0262-7. Epub 2008 Oct 31.

PMID:
18975049
13.

Differences in Gaussian diffusion tensor imaging and non-Gaussian diffusion kurtosis imaging model-based estimates of diffusion tensor invariants in the human brain.

Lanzafame S, Giannelli M, Garaci F, Floris R, Duggento A, Guerrisi M, Toschi N.

Med Phys. 2016 May;43(5):2464. doi: 10.1118/1.4946819.

PMID:
27147357
14.

Diffusion tensor imaging (DTI) of the kidney at 3 tesla-feasibility, protocol evaluation and comparison to 1.5 Tesla.

Notohamiprodjo M, Dietrich O, Horger W, Horng A, Helck AD, Herrmann KA, Reiser MF, Glaser C.

Invest Radiol. 2010 May;45(5):245-54. doi: 10.1097/RLI.0b013e3181d83abc.

PMID:
20375845
15.

Minimum SNR and acquisition for bias-free estimation of fractional anisotropy in diffusion tensor imaging - a comparison of two analytical techniques and field strengths.

Seo Y, Wang ZJ, Morriss MC, Rollins NK.

Magn Reson Imaging. 2012 Oct;30(8):1123-33. doi: 10.1016/j.mri.2012.04.015. Epub 2012 Jul 20.

PMID:
22819179
16.

Motion artifact reduction in pediatric diffusion tensor imaging using fast prospective correction.

Alhamud A, Taylor PA, Laughton B, van der Kouwe AJ, Meintjes EM.

J Magn Reson Imaging. 2015 May;41(5):1353-64. doi: 10.1002/jmri.24678. Epub 2014 Jun 17.

17.

The effects of noise in cardiac diffusion tensor imaging and the benefits of averaging complex data.

Scott AD, Nielles-Vallespin S, Ferreira PF, McGill LA, Pennell DJ, Firmin DN.

NMR Biomed. 2016 May;29(5):588-99. doi: 10.1002/nbm.3500. Epub 2016 Feb 18.

PMID:
26891219
18.
19.

Diffusion Tensor Imaging of the Kidneys: Influence of b-Value and Number of Encoding Directions on Image Quality and Diffusion Tensor Parameters.

Chuck NC, Steidle G, Blume I, Fischer MA, Nanz D, Boss A.

J Clin Imaging Sci. 2013 Nov 28;3:53. doi: 10.4103/2156-7514.122323. eCollection 2013.

20.

Head injury or head motion? Assessment and quantification of motion artifacts in diffusion tensor imaging studies.

Ling J, Merideth F, Caprihan A, Pena A, Teshiba T, Mayer AR.

Hum Brain Mapp. 2012 Jan;33(1):50-62. doi: 10.1002/hbm.21192. Epub 2011 Mar 9.

PMID:
21391258

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