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Results: 1 to 20 of 561

1.

Improving tissue classification in MRI: a three-dimensional multispectral discriminant analysis method with automated training class selection.

Harris G, Andreasen NC, Cizadlo T, Bailey JM, Bockholt HJ, Magnotta VA, Arndt S.

J Comput Assist Tomogr. 1999 Jan-Feb;23(1):144-54.

PMID:
10050826
[PubMed - indexed for MEDLINE]
2.

A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images.

Suckling J, Sigmundsson T, Greenwood K, Bullmore ET.

Magn Reson Imaging. 1999 Sep;17(7):1065-76.

PMID:
10463658
[PubMed - indexed for MEDLINE]
3.

Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification.

Vrooman HA, Cocosco CA, van der Lijn F, Stokking R, Ikram MA, Vernooij MW, Breteler MM, Niessen WJ.

Neuroimage. 2007 Aug 1;37(1):71-81. Epub 2007 May 21.

PMID:
17572111
[PubMed - indexed for MEDLINE]
4.

Unsupervised, automated segmentation of the normal brain using a multispectral relaxometric magnetic resonance approach.

Alfano B, Brunetti A, Covelli EM, Quarantelli M, Panico MR, Ciarmiello A, Salvatore M.

Magn Reson Med. 1997 Jan;37(1):84-93.

PMID:
8978636
[PubMed - indexed for MEDLINE]
5.

Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks.

Reddick WE, Glass JO, Cook EN, Elkin TD, Deaton RJ.

IEEE Trans Med Imaging. 1997 Dec;16(6):911-8.

PMID:
9533591
[PubMed - indexed for MEDLINE]
6.

An automated procedure for the assessment of white matter hyperintensities by multispectral (T1, T2, PD) MRI and an evaluation of its between-centre reproducibility based on two large community databases.

Maillard P, Delcroix N, Crivello F, Dufouil C, Gicquel S, Joliot M, Tzourio-Mazoyer N, Alpérovitch A, Tzourio C, Mazoyer B.

Neuroradiology. 2008 Jan;50(1):31-42. Epub 2007 Oct 16.

PMID:
17938898
[PubMed - indexed for MEDLINE]
7.

Multi-level adaptive segmentation of multi-parameter MR brain images.

Zavaljevski A, Dhawan AP, Gaskil M, Ball W, Johnson JD.

Comput Med Imaging Graph. 2000 Mar-Apr;24(2):87-98.

PMID:
10767588
[PubMed - indexed for MEDLINE]
8.

Segmentation techniques for the classification of brain tissue using magnetic resonance imaging.

Cohen G, Andreasen NC, Alliger R, Arndt S, Kuan J, Yuh WT, Ehrhardt J.

Psychiatry Res. 1992 May;45(1):33-51.

PMID:
1410077
[PubMed - indexed for MEDLINE]
9.

Computerized brain tissue classification of magnetic resonance images: a new approach to the problem of partial volume artifact.

Bullmore E, Brammer M, Rouleau G, Everitt B, Simmons A, Sharma T, Frangou S, Murray R, Dunn G.

Neuroimage. 1995 Jun;2(2):133-47.

PMID:
9343596
[PubMed - indexed for MEDLINE]
10.

Hybrid artificial neural network segmentation of precise and accurate inversion recovery (PAIR) images from normal human brain.

Glass JO, Reddick WE, Goloubeva O, Yo V, Steen RG.

Magn Reson Imaging. 2000 Dec;18(10):1245-53.

PMID:
11167044
[PubMed - indexed for MEDLINE]
11.

Quantitative follow-up of patients with multiple sclerosis using MRI: technical aspects.

Kikinis R, Guttmann CR, Metcalf D, Wells WM 3rd, Ettinger GJ, Weiner HL, Jolesz FA.

J Magn Reson Imaging. 1999 Apr;9(4):519-30.

PMID:
10232509
[PubMed - indexed for MEDLINE]
12.

Quantification of white matter and gray matter volumes from three-dimensional magnetic resonance volume studies using fuzzy classifiers.

Herndon RC, Lancaster JL, Giedd JN, Fox PT.

J Magn Reson Imaging. 1998 Sep-Oct;8(5):1097-105.

PMID:
9786148
[PubMed - indexed for MEDLINE]
13.

Reliability and validity of an algorithm for fuzzy tissue segmentation of MRI.

Reiss AL, Hennessey JG, Rubin M, Beach L, Abrams MT, Warsofsky IS, Liu AM, Links JM.

J Comput Assist Tomogr. 1998 May-Jun;22(3):471-9.

PMID:
9606391
[PubMed - indexed for MEDLINE]
14.

Normal brain volume measurements using multispectral MRI segmentation.

Vaidyanathan M, Clarke LP, Heidtman C, Velthuizen RP, Hall LO.

Magn Reson Imaging. 1997;15(1):87-97.

PMID:
9084029
[PubMed - indexed for MEDLINE]
15.

Automated segmentation of multispectral brain MR images.

Andersen AH, Zhang Z, Avison MJ, Gash DM.

J Neurosci Methods. 2002 Dec 31;122(1):13-23.

PMID:
12535761
[PubMed - indexed for MEDLINE]
16.

Quantitative analysis in clinical applications of brain MRI using independent component analysis coupled with support vector machine.

Chai JW, Chi-Chang Chen C, Chiang CM, Ho YJ, Chen HM, Ouyang YC, Yang CW, Lee SK, Chang CI.

J Magn Reson Imaging. 2010 Jul;32(1):24-34. doi: 10.1002/jmri.22210.

PMID:
20578007
[PubMed - indexed for MEDLINE]
17.

Brain MRI lesion load quantification in multiple sclerosis: a comparison between automated multispectral and semi-automated thresholding computer-assisted techniques.

Achiron A, Gicquel S, Miron S, Faibel M.

Magn Reson Imaging. 2002 Dec;20(10):713-20.

PMID:
12591567
[PubMed - indexed for MEDLINE]
18.

Fast method for brain image segmentation: application to proton magnetic resonance spectroscopic imaging.

Bonekamp D, Horsk√° A, Jacobs MA, Arslanoglu A, Barker PB.

Magn Reson Med. 2005 Nov;54(5):1268-72.

PMID:
16187272
[PubMed - indexed for MEDLINE]
19.

Interactive segmentation of cerebral gray matter, white matter, and CSF: photographic and MR images.

Bartlett TQ, Vannier MW, McKeel DW Jr, Gado M, Hildebolt CF, Walkup R.

Comput Med Imaging Graph. 1994 Nov-Dec;18(6):449-60.

PMID:
7850740
[PubMed - indexed for MEDLINE]
20.

Automated classification of multi-spectral MR images using Linear Discriminant Analysis.

Lin GC, Wang WJ, Wang CM, Sun SY.

Comput Med Imaging Graph. 2010 Jun;34(4):251-68. doi: 10.1016/j.compmedimag.2009.11.001. Epub 2009 Dec 30.

PMID:
20044236
[PubMed - indexed for MEDLINE]

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