Comput Math Methods Med - Background-suppressed MR venography of the brain using magnitude data: a high-pass filtering approach.

Tópicos

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Resumo

Conventional susceptibility-weighted imaging (SWI) uses both phase and magnitude data for the enhancement of venous vasculature and, thus, is subject to signal loss in regions with severe field inhomogeneity and in the peripheral regions of the brain in the minimum-intensity projection. The purpose of this study is to enhance the visibility of the venous vasculature and reduce the artifacts in the venography by suppressing the background signal in postprocessing. A high-pass filter with an inverted Hamming window or an inverted Fermi window was applied to the Fourier domain of the magnitude images to enhance the visibility of the venous vasculature in the brain after data acquisition. The high-pass filtering approach has the advantages of enhancing the visibility of small veins, diminishing the off-resonance artifact, reducing signal loss in the peripheral regions of the brain in projection, and nearly completely suppressing the background signal. The proposed postprocessing technique is effective for the visualization of small venous vasculature using the magnitude data alone.

Resumo Limpo

convent susceptibilityweight imag swi use phase magnitud data enhanc venous vasculatur thus subject signal loss region sever field inhomogen peripher region brain minimumintens project purpos studi enhanc visibl venous vasculatur reduc artifact venographi suppress background signal postprocess highpass filter invert ham window invert fermi window appli fourier domain magnitud imag enhanc visibl venous vasculatur brain data acquisit highpass filter approach advantag enhanc visibl small vein diminish offreson artifact reduc signal loss peripher region brain project near complet suppress background signal propos postprocess techniqu effect visual small venous vasculatur use magnitud data alon

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