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Items: 1 to 20 of 113

1.

Diffusion tensor imaging and resting-state functional MRI-scanning in 5- and 6-year-old children: training protocol and motion assessment.

Theys C, Wouters J, Ghesquière P.

PLoS One. 2014 Apr 9;9(4):e94019. doi: 10.1371/journal.pone.0094019. eCollection 2014.

2.

High success rates of sedation-free brain MRI scanning in young children using simple subject preparation protocols with and without a commercial mock scanner--the Diabetes Research in Children Network (DirecNet) experience.

Barnea-Goraly N, Weinzimer SA, Ruedy KJ, Mauras N, Beck RW, Marzelli MJ, Mazaika PK, Aye T, White NH, Tsalikian E, Fox L, Kollman C, Cheng P, Reiss AL; Diabetes Research in Children Network (DirecNet).

Pediatr Radiol. 2014 Feb;44(2):181-6. doi: 10.1007/s00247-013-2798-7. Epub 2013 Oct 6.

3.

[Dispensing with sedation in pediatric MR imaging of the brain: what is feasible?].

Heyer CM, Lemburg SP, Sterl S, Holland-Letz T, Nicolas V.

Rofo. 2012 Nov;184(11):1034-42. doi: 10.1055/s-0032-1313065. Epub 2012 Aug 7. German.

PMID:
22872604
4.

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.

5.

Preparing children with a mock scanner training protocol results in high quality structural and functional MRI scans.

de Bie HM, Boersma M, Wattjes MP, Adriaanse S, Vermeulen RJ, Oostrom KJ, Huisman J, Veltman DJ, Delemarre-Van de Waal HA.

Eur J Pediatr. 2010 Sep;169(9):1079-85. doi: 10.1007/s00431-010-1181-z. Epub 2010 Mar 13.

6.

Retrospective head motion correction approaches for diffusion tensor imaging: Effects of preprocessing choices on biases and reproducibility of scalar diffusion metrics.

Kreilkamp BA, Zacà D, Papinutto N, Jovicich J.

J Magn Reson Imaging. 2016 Jan;43(1):99-106. doi: 10.1002/jmri.24965. Epub 2015 Jun 7.

PMID:
26059492
7.

Factors determining success of awake and asleep magnetic resonance imaging scans in nonsedated children.

Vannest J, Rajagopal A, Cicchino ND, Franks-Henry J, Simpson SM, Lee G, Altaye M, Sroka C, Holland SK; CMIND Authorship Consortium.

Neuropediatrics. 2014 Dec;45(6):370-7. doi: 10.1055/s-0034-1387816. Epub 2014 Aug 21.

PMID:
25144603
8.

Direct evidence of intra- and interhemispheric corticomotor network degeneration in amyotrophic lateral sclerosis: an automated MRI structural connectivity study.

Rose S, Pannek K, Bell C, Baumann F, Hutchinson N, Coulthard A, McCombe P, Henderson R.

Neuroimage. 2012 Feb 1;59(3):2661-9. doi: 10.1016/j.neuroimage.2011.08.054. Epub 2011 Aug 26.

PMID:
21893207
9.

Prospective motion correction improves diagnostic utility of pediatric MRI scans.

Kuperman JM, Brown TT, Ahmadi ME, Erhart MJ, White NS, Roddey JC, Shankaranarayanan A, Han ET, Rettmann D, Dale AM.

Pediatr Radiol. 2011 Dec;41(12):1578-82. doi: 10.1007/s00247-011-2205-1. Epub 2011 Jul 21.

10.

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
11.

[Tolerance of magnetic resonance imaging in children and adolescents performed in a 1.5 Tesla MR scanner with an open design].

Adamietz B, Cavallaro A, Radkow T, Alibek S, Holter W, Bautz WA, Staatz G.

Rofo. 2007 Aug;179(8):826-31. Epub 2007 Jun 19. German.

PMID:
17577870
12.

Behavioral interventions for reducing head motion during MRI scans in children.

Greene DJ, Koller JM, Hampton JM, Wesevich V, Van AN, Nguyen AL, Hoyt CR, McIntyre L, Earl EA, Klein RL, Shimony JS, Petersen SE, Schlaggar BL, Fair DA, Dosenbach NUF.

Neuroimage. 2018 Jan 11. pii: S1053-8119(18)30023-5. doi: 10.1016/j.neuroimage.2018.01.023. [Epub ahead of print]

PMID:
29337280
13.

Diffusion tensor imaging (DTI) with retrospective motion correction for large-scale pediatric imaging.

Holdsworth SJ, Aksoy M, Newbould RD, Yeom K, Van AT, Ooi MB, Barnes PD, Bammer R, Skare S.

J Magn Reson Imaging. 2012 Oct;36(4):961-71. doi: 10.1002/jmri.23710. Epub 2012 Jun 11.

14.

Strategies to minimize sedation in pediatric body magnetic resonance imaging.

Jaimes C, Gee MS.

Pediatr Radiol. 2016 May;46(6):916-27. doi: 10.1007/s00247-016-3613-z. Epub 2016 May 26. Review.

PMID:
27229508
15.

Improved image quality and detection of small cerebral infarctions with diffusion-tensor trace imaging.

Cauley KA, Thangasamy S, Dundamadappa SK.

AJR Am J Roentgenol. 2013 Jun;200(6):1327-33. doi: 10.2214/AJR.12.9816.

PMID:
23701072
16.

Evaluation of motion and its effect on brain magnetic resonance image quality in children.

Afacan O, Erem B, Roby DP, Roth N, Roth A, Prabhu SP, Warfield SK.

Pediatr Radiol. 2016 Nov;46(12):1728-1735. Epub 2016 Aug 3.

17.

Contrasting brain patterns of writing-related DTI parameters, fMRI connectivity, and DTI-fMRI connectivity correlations in children with and without dysgraphia or dyslexia.

Richards TL, Grabowski TJ, Boord P, Yagle K, Askren M, Mestre Z, Robinson P, Welker O, Gulliford D, Nagy W, Berninger V.

Neuroimage Clin. 2015 Mar 28;8:408-21. doi: 10.1016/j.nicl.2015.03.018. eCollection 2015.

18.

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
19.

Abdominal MR imaging in children: motion compensation, sequence optimization, and protocol organization.

Chavhan GB, Babyn PS, Vasanawala SS.

Radiographics. 2013 May;33(3):703-19. doi: 10.1148/rg.333125027.

PMID:
23674770
20.

The effect of respiratory and cardiac motion in liver diffusion tensor imaging (DTI).

Wong OL, Gloh Lo G, Lee R, Wa Li W, Lung Chan P, Ki Yu S, Noseworthy MD.

J Comput Assist Tomogr. 2014 May-Jun;38(3):352-9. doi: 10.1097/RCT.0000000000000064.

PMID:
24681854

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