Journal ArticleDOI
Surface coil MR imaging of the human brain with an analytic reception profile correction.
TLDR
An analytic correction method was developed and applied to correct the signal intensity nonuniformity caused by the inhomogeneous reception profile of surface coils used for magnetic resonance imaging of the brain at 1.5 T.Abstract:
An analytic correction method was developed and applied to correct the signal intensity nonuniformity caused by the inhomogeneous reception profile of surface coils used--because of their higher sensitivity--for magnetic resonance imaging of the brain at 1.5 T. The reception profile was analytically modeled by using the Biot-Savart law. The correction considerably improved visual interpretation of the images by modeling and removing the dependence of signal intensity on distance from the coil. The method can be used for single or multiple coils of any planar geometry and in any orientation. Application of this technique allows imaging of the brain with surface coils, yielding increased resolution and signal-to-noise ratio, without the penalty of image nonuniformity.read more
Citations
More filters
Journal ArticleDOI
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
TL;DR: A novel approach to correcting for intensity nonuniformity in magnetic resonance (MR) data is described that achieves high performance without requiring a model of the tissue classes present, and is applied at an early stage in an automated data analysis, before a tissue model is available.
Journal ArticleDOI
Automated model-based bias field correction of MR images of the brain
TL;DR: The method the authors propose applies an iterative expectation-maximization (EM) strategy that interleaves pixel classification with estimation of class distribution and bias field parameters, improving the likelihood of the model parameters at each iteration.
Journal ArticleDOI
Correlation of proton MR spectroscopic imaging with gleason score based on step-section pathologic analysis after radical prostatectomy.
Kristen L. Zakian,Kanishka Sircar,Hedvig Hricak,Hui Ni Chen,Amita Shukla-Dave,Steven C. Eberhardt,Manickam Muruganandham,Lanie E. Ebora,Michael W. Kattan,Victor E. Reuter,Peter T. Scardino,Jason A. Koutcher +11 more
TL;DR: MR spectroscopic imaging measurement of prostate tumor (Cho + Cr)/Cit and tumor volume correlate with pathologic Gleason score and has potential in noninvasive assessment of prostate cancer aggressiveness.
Journal ArticleDOI
Robust multiresolution alignment of MRI brain volumes.
Oscar Nestares,David J. Heeger +1 more
TL;DR: An algorithm for the automatic alignment of MRI volumes of the human brain was developed, based on techniques adopted from the computer vision literature for image motion estimation, which automatically ignores voxels where the intensities are sufficiently different in the two volumes.
Journal ArticleDOI
Very selective suppression pulses for clinical MRSI studies of brain and prostate cancer.
Tuan-Khanh C. Tran,Daniel B. Vigneron,Napapon Sailasuta,James Tropp,Patrick Le Roux,John Kurhanewicz,Sarah J. Nelson,Ralph E. Hurd +7 more
TL;DR: An optimized sequence of quadratic phase pulses is introduced to provide very selective spatial suppression with improved B1 and T1 insensitivity in 3D MRSI exams of brain tumors and prostate cancer.
References
More filters
Journal ArticleDOI
Intensity correction in surface-coil MR imaging
TL;DR: A method is reported for correcting surface-coil images so as to produce a uniform relative intensity over the region being imaged, where the local image contrast will decrease proportionally to the average local intensity.
Journal ArticleDOI
Compensation for surface coil sensitivity variation in magnetic resonance imaging
TL;DR: The results indicate that the corrected surface coil image exhibits the homogeneity of the body coil image while essentially preserving the sensitivity of the surface Coil image.
Journal ArticleDOI
Phase and sensitivity of receiver coils in magnetic resonance imaging
TL;DR: A method is developed which corrects for both the nonuniform sensitivity and the phase shifts introduced by receiver coils, and which compares the results with measurements of a uniform phantom.
Journal ArticleDOI
Correction for intensity falloff in surface coil magnetic resonance imaging
W. W. Brey,Ponnada A. Narayana +1 more
TL;DR: A method has been developed to compensate for sensitivity variation in surface coil images by acquiring a crude body coil image of the region under study using a homogeneous phantom.
Journal ArticleDOI
Computer-assisted design of surface coils used in magnetic resonance imaging. I. The calculation of the magnetic field
TL;DR: This note describes an algorithm and offers a computer subroutine to calculate magnetic fields for coils of arbitrary shape and complexity for fixed currents.