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Items: 1 to 20 of 200

1.

MRI texture analysis in multiple sclerosis: toward a clinical analysis protocol.

Harrison LC, Raunio M, Holli KK, Luukkaala T, Savio S, Elovaara I, Soimakallio S, Eskola HJ, Dastidar P.

Acad Radiol. 2010 Jun;17(6):696-707. doi: 10.1016/j.acra.2010.01.005.

PMID:
20457414
2.

Texture analysis of multiple sclerosis: a comparative study.

Zhang J, Tong L, Wang L, Li N.

Magn Reson Imaging. 2008 Oct;26(8):1160-6. doi: 10.1016/j.mri.2008.01.016. Epub 2008 May 29.

PMID:
18513908
3.

Characterization of breast cancer types by texture analysis of magnetic resonance images.

Holli K, Lääperi AL, Harrison L, Luukkaala T, Toivonen T, Ryymin P, Dastidar P, Soimakallio S, Eskola H.

Acad Radiol. 2010 Feb;17(2):135-41. doi: 10.1016/j.acra.2009.08.012. Epub 2009 Nov 27.

PMID:
19945302
4.

An approach to comparing accuracies of two FLAIR MR sequences in the detection of multiple sclerosis lesions in the brain in the absence of gold standard.

Bilello M, Suri N, Krejza J, Woo JH, Bagley LJ, Mamourian AC, Vossough A, Chen JY, Millian BR, Mulderink T, Markowitz CE, Melhem ER.

Acad Radiol. 2010 Jun;17(6):686-95. doi: 10.1016/j.acra.2010.01.019.

PMID:
20457413
5.

Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images.

Theocharakis P, Glotsos D, Kalatzis I, Kostopoulos S, Georgiadis P, Sifaki K, Tsakouridou K, Malamas M, Delibasis G, Cavouras D, Nikiforidis G.

Magn Reson Imaging. 2009 Apr;27(3):417-22. doi: 10.1016/j.mri.2008.07.014. Epub 2008 Sep 11.

PMID:
18786795
6.

Texture anisotropy of the brain's white matter as revealed by anatomical MRI.

Kovalev V, Kruggel F.

IEEE Trans Med Imaging. 2007 May;26(5):678-85.

PMID:
17518062
7.

A novel MRI texture analysis of demyelination and inflammation in relapsing-remitting experimental allergic encephalomyelitis.

Zhang Y, Wells J, Buist R, Peeling J, Yong VW, Mitchell JR.

Med Image Comput Comput Assist Interv. 2006;9(Pt 1):760-7.

PMID:
17354959
8.

Gray and normal-appearing white matter in multiple sclerosis: an MRI perspective.

Vrenken H, Geurts JJ.

Expert Rev Neurother. 2007 Mar;7(3):271-9. Review.

PMID:
17341175
9.

Improved identification of intracortical lesions in multiple sclerosis with phase-sensitive inversion recovery in combination with fast double inversion recovery MR imaging.

Nelson F, Poonawalla AH, Hou P, Huang F, Wolinsky JS, Narayana PA.

AJNR Am J Neuroradiol. 2007 Oct;28(9):1645-9. Epub 2007 Sep 20.

10.

Segmentation of cortical MS lesions on MRI using automated laminar profile shape analysis.

Tardif CL, Collins DL, Eskildsen SF, Richardson JB, Pike GB.

Med Image Comput Comput Assist Interv. 2010;13(Pt 3):181-8.

PMID:
20879398
11.

Quantification of perfusion and permeability in multiple sclerosis: dynamic contrast-enhanced MRI in 3D at 3T.

Ingrisch M, Sourbron S, Morhard D, Ertl-Wagner B, Kümpfel T, Hohlfeld R, Reiser M, Glaser C.

Invest Radiol. 2012 Apr;47(4):252-8. doi: 10.1097/RLI.0b013e31823bfc97.

PMID:
22373532
12.

Multi-contrast, isotropic, single-slab 3D MR imaging in multiple sclerosis.

Moraal B, Roosendaal SD, Pouwels PJ, Vrenken H, van Schijndel RA, Meier DS, Guttmann CR, Geurts JJ, Barkhof F.

Eur Radiol. 2008 Oct;18(10):2311-20. doi: 10.1007/s00330-008-1009-7. Epub 2008 May 29.

PMID:
18509658
13.

Multiscale amplitude-modulation frequency-modulation (AM-FM) texture analysis of multiple sclerosis in brain MRI images.

Loizou CP, Murray V, Pattichis MS, Seimenis I, Pantziaris M, Pattichis CS.

IEEE Trans Inf Technol Biomed. 2011 Jan;15(1):119-29. doi: 10.1109/TITB.2010.2091279. Epub 2010 Nov 9.

PMID:
21062681
14.

Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images.

Juntu J, Sijbers J, De Backer S, Rajan J, Van Dyck D.

J Magn Reson Imaging. 2010 Mar;31(3):680-9. doi: 10.1002/jmri.22095.

PMID:
20187212
15.

Effects of magnetic resonance image interpolation on the results of texture-based pattern classification: a phantom study.

Mayerhoefer ME, Szomolanyi P, Jirak D, Berg A, Materka A, Dirisamer A, Trattnig S.

Invest Radiol. 2009 Jul;44(7):405-11. doi: 10.1097/RLI.0b013e3181a50a66.

PMID:
19465863
16.

Voxel-based iterative sensitivity (VBIS) analysis: methods and a validation of intensity scaling for T2-weighted imaging of hippocampal sclerosis.

Abbott DF, Pell GS, Pardoe H, Jackson GD.

Neuroimage. 2009 Feb 1;44(3):812-9. doi: 10.1016/j.neuroimage.2008.09.055. Epub 2008 Oct 19.

PMID:
18996207
17.

Texture analysis of magnetization transfer maps from patients with clinically isolated syndrome and multiple sclerosis.

Tozer DJ, Marongiu G, Swanton JK, Thompson AJ, Miller DH.

J Magn Reson Imaging. 2009 Sep;30(3):506-13. doi: 10.1002/jmri.21885.

PMID:
19711400
18.

Quantitative texture analysis of brain white matter lesions derived from T2-weighted MR images in MS patients with clinically isolated syndrome.

Loizou CP, Petroudi S, Seimenis I, Pantziaris M, Pattichis CS.

J Neuroradiol. 2015 Apr;42(2):99-114. doi: 10.1016/j.neurad.2014.05.006. Epub 2014 Jun 23.

19.

MRI texture analysis on texture test objects, normal brain and intracranial tumors.

Herlidou-Même S, Constans JM, Carsin B, Olivie D, Eliat PA, Nadal-Desbarats L, Gondry C, Le Rumeur E, Idy-Peretti I, de Certaines JD.

Magn Reson Imaging. 2003 Nov;21(9):989-93.

PMID:
14684201
20.

Effect of slice thickness on brain magnetic resonance image texture analysis.

Savio SJ, Harrison LC, Luukkaala T, Heinonen T, Dastidar P, Soimakallio S, Eskola HJ.

Biomed Eng Online. 2010 Oct 18;9:60. doi: 10.1186/1475-925X-9-60.

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