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Items: 1 to 20 of 52

1.

Fast diffusion kurtosis imaging (DKI) with Inherent COrrelation-based Normalization (ICON) enhances automatic segmentation of heterogeneous diffusion MRI lesion in acute stroke.

Zhou IY, Guo Y, Igarashi T, Wang Y, Mandeville E, Chan ST, Wen L, Vangel M, Lo EH, Ji X, Sun PZ.

NMR Biomed. 2016 Dec;29(12):1670-1677. doi: 10.1002/nbm.3617.

PMID:
27696558
2.

Emerging Techniques in Brain Tumor Imaging: What Radiologists Need to Know.

Kim M, Kim HS.

Korean J Radiol. 2016 Sep-Oct;17(5):598-619. doi: 10.3348/kjr.2016.17.5.598. Review.

3.

Data for evaluation of fast kurtosis strategies, b-value optimization and exploration of diffusion MRI contrast.

Hansen B, Jespersen SN.

Sci Data. 2016 Aug 30;3:160072. doi: 10.1038/sdata.2016.72.

4.

The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE).

Szczepankiewicz F, van Westen D, Englund E, Westin CF, Ståhlberg F, Lätt J, Sundgren PC, Nilsson M.

Neuroimage. 2016 Nov 15;142:522-532. doi: 10.1016/j.neuroimage.2016.07.038.

5.

Differentiation of Low- and High-Grade Gliomas Using High b-Value Diffusion Imaging with a Non-Gaussian Diffusion Model.

Sui Y, Xiong Y, Jiang J, Karaman MM, Xie KL, Zhu W, Zhou XJ.

AJNR Am J Neuroradiol. 2016 Sep;37(9):1643-9. doi: 10.3174/ajnr.A4836.

6.

Mapping the Orientation of White Matter Fiber Bundles: A Comparative Study of Diffusion Tensor Imaging, Diffusional Kurtosis Imaging, and Diffusion Spectrum Imaging.

Glenn GR, Kuo LW, Chao YP, Lee CY, Helpern JA, Jensen JH.

AJNR Am J Neuroradiol. 2016 Jul;37(7):1216-22. doi: 10.3174/ajnr.A4714.

7.

Functional Magnetic Resonance Imaging in Acute Kidney Injury: Present Status.

Zhou HY, Chen TW, Zhang XM.

Biomed Res Int. 2016;2016:2027370. doi: 10.1155/2016/2027370. Review.

8.

Comparison of image sensitivity between conventional tensor-based and fast diffusion kurtosis imaging protocols in a rodent model of acute ischemic stroke.

Wu Y, Kim J, Chan ST, Zhou IY, Guo Y, Igarashi T, Zheng H, Guo G, Sun PZ.

NMR Biomed. 2016 May;29(5):625-30. doi: 10.1002/nbm.3506.

PMID:
26918411
9.

Experimental considerations for fast kurtosis imaging.

Hansen B, Lund TE, Sangill R, Stubbe E, Finsterbusch J, Jespersen SN.

Magn Reson Med. 2016 Nov;76(5):1455-1468. doi: 10.1002/mrm.26055.

PMID:
26608731
10.

Diffusion kurtosis imaging can efficiently assess the glioma grade and cellular proliferation.

Jiang R, Jiang J, Zhao L, Zhang J, Zhang S, Yao Y, Yang S, Shi J, Shen N, Su C, Zhang J, Zhu W.

Oncotarget. 2015 Dec 8;6(39):42380-93. doi: 10.18632/oncotarget.5675.

11.

Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone induced demyelination and spontaneous remyelination.

Guglielmetti C, Veraart J, Roelant E, Mai Z, Daans J, Van Audekerke J, Naeyaert M, Vanhoutte G, Delgado Y Palacios R, Praet J, Fieremans E, Ponsaerts P, Sijbers J, Van der Linden A, Verhoye M.

Neuroimage. 2016 Jan 15;125:363-77. doi: 10.1016/j.neuroimage.2015.10.052.

12.

Differentiating low- and high-grade pediatric brain tumors using a continuous-time random-walk diffusion model at high b-values.

Karaman MM, Sui Y, Wang H, Magin RL, Li Y, Zhou XJ.

Magn Reson Med. 2016 Oct;76(4):1149-57. doi: 10.1002/mrm.26012.

PMID:
26519663
13.

Detecting compartmental non-Gaussian diffusion with symmetrized double-PFG MRI.

Paulsen JL, Özarslan E, Komlosh ME, Basser PJ, Song YQ.

NMR Biomed. 2015 Nov;28(11):1550-6. doi: 10.1002/nbm.3363.

14.

Global and Regional Brain Non-Gaussian Diffusion Changes in Newly Diagnosed Patients with Obstructive Sleep Apnea.

Tummala S, Palomares J, Kang DW, Park B, Woo MA, Harper RM, Kumar R.

Sleep. 2016 Jan 1;39(1):51-7. doi: 10.5665/sleep.5316.

15.

Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging.

Bai Y, Lin Y, Tian J, Shi D, Cheng J, Haacke EM, Hong X, Ma B, Zhou J, Wang M.

Radiology. 2016 Feb;278(2):496-504. doi: 10.1148/radiol.2015142173.

16.

Hypercellularity Components of Glioblastoma Identified by High b-Value Diffusion-Weighted Imaging.

Pramanik PP, Parmar HA, Mammoser AG, Junck LR, Kim MM, Tsien CI, Lawrence TS, Cao Y.

Int J Radiat Oncol Biol Phys. 2015 Jul 15;92(4):811-9. doi: 10.1016/j.ijrobp.2015.02.058.

17.

Evaluation of non-local means based denoising filters for diffusion kurtosis imaging using a new phantom.

Zhou MX, Yan X, Xie HB, Zheng H, Xu D, Yang G.

PLoS One. 2015 Feb 2;10(2):e0116986. doi: 10.1371/journal.pone.0116986.

18.

Performances of diffusion kurtosis imaging and diffusion tensor imaging in detecting white matter abnormality in schizophrenia.

Zhu J, Zhuo C, Qin W, Wang D, Ma X, Zhou Y, Yu C.

Neuroimage Clin. 2014 Dec 9;7:170-6. doi: 10.1016/j.nicl.2014.12.008.

19.

Detection of electroporation-induced membrane permeabilization states in the brain using diffusion-weighted MRI.

Mahmood F, Hansen RH, Agerholm-Larsen B, Gissel H, Ibsen P, Gehl J.

Acta Oncol. 2015 Mar;54(3):289-97. doi: 10.3109/0284186X.2014.991045.

20.

Kurtosis analysis of neural diffusion organization.

Hui ES, Russell Glenn G, Helpern JA, Jensen JH.

Neuroimage. 2015 Feb 1;106:391-403. doi: 10.1016/j.neuroimage.2014.11.015.

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