نتایج جستجو برای: susceptibility weighted imaging

تعداد نتایج: 666272  

Journal: :Journal of Magnetic Resonance Imaging 2009

Journal: :Magnetic Resonance Imaging Clinics of North America 2009

2017
Shewei Dou Yan Bai Ankit Shandil Degang Ding Dapeng Shi E Mark Haacke Meiyun Wang

Prostate cancer and prostatic calcifications have a high incidence in elderly men. We aimed to investigate the diagnostic capabilities of susceptibility-weighted imaging in detecting prostate cancer and prostatic calcifications. A total number of 156 men, including 34 with prostate cancer and 122 with benign prostate were enrolled in this study. Computed tomography, conventional magnetic resona...

2017
Serena Monti Pasquale Borrelli Enrico Tedeschi Sirio Cocozza Giuseppe Palma

Susceptibility Weighted Imaging (SWI) is a common MRI technique that exploits the magnetic susceptibility differences between the tissues to provide valuable image contrasts, both in research and clinical contexts. However, despite its increased clinical use, SWI is not intrinsically suitable for quantitation purposes. Conversely, quantitative Magnetic Resonance Imaging (qMRI) provides a way to...

2015

to correct Figs 1–5 and 8–11, which were darker than intended. The publisher apologizes for the error. Please download this article again to view the corrected version. open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Journal: :Radiology 2014
Ho Sung Kim Myeong Ju Goh Namkug Kim Choong Gon Choi Sang Joon Kim Jeong Hoon Kim

PURPOSE To compare the added value of dynamic contrast material-enhanced ( CE contrast enhanced ) ( DCE dynamic CE ) magnetic resonance (MR) imaging with that of dynamic susceptibility CE contrast enhanced ( DSC dynamic susceptibility CE ) MR imaging with the combination of CE contrast enhanced T1-weighted imaging and diffusion-weighted ( DW diffusion weighted ) imaging for predicting recurrent...

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