MR venography of the human brain using susceptibility weighted imaging at very high field strength.

MR venography of the human brain using susceptibility weighted imaging at very high field strength.

OBJECTIVE: We investigate the implications of high magnetic field strength on MR venography based on susceptibility-weighted imaging (SWI) and estimate the optimum echo time to obtain maximum contrast between blood and brain tissue. MATERIALS AND METHODS: We measured tissue contrast and T2* relaxat...

Bibliográfalaš dieđut
Váldodahkkit:	Koopmans, P, Manniesing, R, Niessen, W, Viergever, M, Barth, M
Materiálatiipa:	Journal article
Giella:	English
Almmustuhtton:	2008

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Dahkki: Lee, D, et al.
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