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Items: 1 to 20 of 161

1.

Multiple sclerosis lesion quantification using fuzzy-connectedness principles.

Udupa JK, Wei L, Samarasekera S, Miki Y, van Buchem MA, Grossman RI.

IEEE Trans Med Imaging. 1997 Oct;16(5):598-609.

PMID:
9368115
2.

A new computer-assisted method for the quantification of enhancing lesions in multiple sclerosis.

Samarasekera S, Udupa JK, Miki Y, Wei L, Grossman RI.

J Comput Assist Tomogr. 1997 Jan-Feb;21(1):145-51.

PMID:
9022787
3.

Incorporating domain knowledge into the fuzzy connectedness framework: application to brain lesion volume estimation in multiple sclerosis.

Horsfield MA, Bakshi R, Rovaris M, Rocca MA, Dandamudi VS, Valsasina P, Judica E, Lucchini F, Guttmann CR, Sormani MP, Filippi M.

IEEE Trans Med Imaging. 2007 Dec;26(12):1670-80.

PMID:
18092737
4.

Computer-assisted quantitation of enhancing lesions in multiple sclerosis: correlation with clinical classification.

Miki Y, Grossman RI, Udupa JK, Samarasekera S, van Buchem MA, Cooney BS, Pollack SN, Kolson DL, Constantinescu C, Polansky M, Mannon LJ.

AJNR Am J Neuroradiol. 1997 Apr;18(4):705-10.

5.

Fast spin-echo and fast fluid-attenuated inversion-recovery versus conventional spin-echo sequences for MR quantification of multiple sclerosis lesions.

Bastianello S, Bozzao A, Paolillo A, Giugni E, Gasperini C, Koudriavtseva T, Millefiorini E, Horsfield MA, Colonnese C, Toni D, Fiorelli M, Pozzilli C, Bozzao L.

AJNR Am J Neuroradiol. 1997 Apr;18(4):699-704.

6.

Quantification of multiple sclerosis lesion load and brain tissue volumetry using multiparameter MRI: methodology and reproducibility.

Ding Z, Preiningerova J, Cannistraci CJ, Vollmer TL, Gore JC, Anderson AW.

Magn Reson Imaging. 2005 Apr;23(3):445-52.

PMID:
15862645
7.

The role of magnetic resonance techniques in understanding and managing multiple sclerosis.

Miller DH, Grossman RI, Reingold SC, McFarland HF.

Brain. 1998 Jan;121 ( Pt 1):3-24. Review.

PMID:
9549485
8.

A system for brain tumor volume estimation via MR imaging and fuzzy connectedness.

Liu J, Udupa JK, Odhner D, Hackney D, Moonis G.

Comput Med Imaging Graph. 2005 Jan;29(1):21-34.

PMID:
15710538
9.

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
10.

Diffusion-weighted MR of the brain: methodology and clinical application.

Mascalchi M, Filippi M, Floris R, Fonda C, Gasparotti R, Villari N.

Radiol Med. 2005 Mar;109(3):155-97. Review. English, Italian.

PMID:
15775887
11.

Three subsequent single doses of gadolinium chelate for brain MR imaging in multiple sclerosis.

Sardanelli F, Iozzelli A, Losacco C, Murialdo A, Filippi M.

AJNR Am J Neuroradiol. 2003 Apr;24(4):658-62.

12.

Interscanner variation in brain MR lesion load measurements in multiple sclerosis using conventional spin-echo, rapid relaxation-enhanced, and fast-FLAIR sequences.

Filippi M, Rocca MA, Gasperini C, Sormani MP, Bastianello S, Horsfield MA, Pozzilli C, Comi G.

AJNR Am J Neuroradiol. 1999 Jan;20(1):133-7.

13.

Estimation of tumor volume with fuzzy-connectedness segmentation of MR images.

Moonis G, Liu J, Udupa JK, Hackney DB.

AJNR Am J Neuroradiol. 2002 Mar;23(3):356-63.

14.

Computer-assisted identification and quantification of multiple sclerosis lesions in MR imaging volumes in the brain.

Mitchell JR, Karlik SJ, Lee DH, Fenster A.

J Magn Reson Imaging. 1994 Mar-Apr;4(2):197-208.

PMID:
8180461
15.

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
16.

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

Guttmann CR, Kikinis R, Anderson MC, Jakab M, Warfield SK, Killiany RJ, Weiner HL, Jolesz FA.

J Magn Reson Imaging. 1999 Apr;9(4):509-18.

PMID:
10232508
17.

Increased differentiation of intracranial white matter lesions by multispectral 3D-tissue segmentation: preliminary results.

Mohamed FB, Vinitski S, Gonzalez CF, Faro SH, Lublin FA, Knobler R, Gutierrez JE.

Magn Reson Imaging. 2001 Feb;19(2):207-18.

PMID:
11358659
18.

Quantification of MRI lesion load in multiple sclerosis: a comparison of three computer-assisted techniques.

Grimaud J, Lai M, Thorpe J, Adeleine P, Wang L, Barker GJ, Plummer DL, Tofts PS, McDonald WI, Miller DH.

Magn Reson Imaging. 1996;14(5):495-505.

PMID:
8843362
19.

Contrast-enhanced MR imaging of metastatic brain tumor at 3 tesla: utility of T(1)-weighted SPACE compared with 2D spin echo and 3D gradient echo sequence.

Komada T, Naganawa S, Ogawa H, Matsushima M, Kubota S, Kawai H, Fukatsu H, Ikeda M, Kawamura M, Sakurai Y, Maruyama K.

Magn Reson Med Sci. 2008;7(1):13-21.

20.

Automated segmentation of multiple sclerosis lesions in multispectral MR imaging using fuzzy clustering.

Boudraa AO, Dehak SM, Zhu YM, Pachai C, Bao YG, Grimaud J.

Comput Biol Med. 2000 Jan;30(1):23-40.

PMID:
10695813
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