Results 161 to 170 of about 1,409,623 (251)
ABSTRACT Purpose To mitigate artifacts related to motion and field changes in high‐resolution T2*$$ {T}_2^{\ast } $$‐weighted human brain imaging using servo navigation at ultra‐high fields up to 11.7 T. Methods MR‐based servo navigators were integrated into a segmented 3D‐EPI sequence to allow for prospective correction of involuntary head motion and ...
Matthias Serger +15 more
wiley +1 more source
ABSTRACT Purpose To demonstrate improved image quality and lesion conspicuity in prostate diffusion‐weighted imaging (DWI) using an inside‐out nonlinear gradient coil that provides locally strong gradients (200–500 500 mT/m) at typical prostate positions.
Horace Z. Zhang +8 more
wiley +1 more source
T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐Weighted Imaging of Water, Fat and Silicone
ABSTRACT Purpose Magnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐weighted imaging being essential for detecting abnormalities in surrounding tissue. Silicone breast imaging protocols often require multiple tailored sequences for species suppression and ...
Aizada Nurdinova +6 more
wiley +1 more source
ABSTRACT Purpose Metabolite concentrations can be determined from proton magnetic resonance spectroscopy (1H‐MRS) data using water as an internal reference. This calculation requires tissue‐specific water T1 and T2 relaxation constants and proton density (PD).
Samantha A. Leech +4 more
wiley +1 more source
ABSTRACT Purpose To investigate how the relaxation rates (R1, R2) and asymmetry indices (AI), derived from phase‐cycled balanced steady‐state free precession (pc‐bSSFP) data, depend on the orientation of white matter (WM) fiber tracts at different field strengths.
Florian Birk +8 more
wiley +1 more source
Spatial Image Gradient Estimation From the Diffusion MRI Profile
ABSTRACT Purpose In the course of diffusion, water molecules encounter varying values for the relaxation‐time properties of the underlying tissue. This factor, which has rarely been accounted for in diffusion MRI (dMRI), is modeled in this work, allowing for the estimation of the gradient of relaxation‐time properties from the dMRI signal. Methods With
Iman Aganj +4 more
wiley +1 more source

