Journal of magnetic resonance imaging : JMRI
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J Magn Reson Imaging · Nov 2006
Clinical TrialDisplacement of the facial nerve course by vestibular schwannoma: preoperative visualization using diffusion tensor tractography.
To preoperatively visualize the course of the facial nerve, which is displaced by vestibular schwannoma, using diffusion tensor (DT) tractography, and to evaluate the agreement with surgical findings. ⋯ Tractographs constructed using MR tensor images enabled us to identify tracts considered to represent facial nerves. We consider DT tractography to be a useful tool for preoperatively predicting facial nerve displacement in vestibular schwannoma.
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To demonstrate the feasibility of whole-body magnetization transfer (MT) contrast imaging. ⋯ Our preliminary data indicate that MT contrast in whole-body MRI is feasible, and may be useful for rapid whole-body assessment of diseases that exhibit high contrast in MT imaging, such as MS and muscular disorders.
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J Magn Reson Imaging · Nov 2006
Brain hydrodynamics study by phase-contrast magnetic resonance imaging and transcranial color doppler.
To evaluate the contributions of phase-contrast magnetic resonance (PCMR) and transcranial color Doppler (TCCD) imaging in the investigation of cerebral hydrodynamics. ⋯ PCMR imaging provides complementary information to TCCD to assess various intracranial parameters such as instantaneous velocities, blood and CSF flow distributions, volume variation, or pressure regulation mechanisms during cardiac cycles.
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To improve the tag persistence throughout the whole cardiac cycle by providing a constant tag-contrast throughout all the cardiac phases when using balanced steady-state free precession (bSSFP) imaging. ⋯ The tag persistence was significantly improved when the proposed method was applied, with better Tag-CNR during the diastolic cardiac phase. The improved Tag-CNR will support automated tagging analysis and quantification methods.
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J Magn Reson Imaging · Nov 2006
Correction of eddy-current distortions in diffusion tensor images using the known directions and strengths of diffusion gradients.
To correct eddy-current artifacts in diffusion tensor (DT) images without the need to obtain auxiliary scans for the sole purpose of correction. ⋯ The proposed algorithm can accurately correct eddy-current artifacts in DT images. Its principal advantages are that only images with comparable signals and contrasts are cross-correlated, and no additional scans are required.