AI Article Synopsis

  • 2D radial MRI using compressed sensing offers a new approach to sampling in k space, but its effectiveness has not been deeply studied.
  • Numerical evaluations were conducted on T1-weighted, T2-weighted, and proton density-weighted images focusing on brain areas like white matter and cerebrospinal fluid, using data from the Brainweb MRI Database.
  • The study found low root mean square errors for T1WI and acceptable visual scores from radiologists, indicating the potential of 2D radial CS while highlighting areas for further improvement.

Article Abstract

Two-dimensional radial MRI using compressed sensing (2D radial CS) enables incoherence sampling in k space unlike conventional Cartesian MRI, however 2D radial CS has not been sufficiently investigated. Numerical and visual evaluations of 2D radial CS were performed in this paper. Three brain anatomical ROIs (white matter, gray matter, cerebrospinal fluid) of a T1-weigthted image (T1WI), a T2-weighted image (T2WI) and a proton density-weighted image (PDWI) were used for the numerical evaluation. The Brainweb MRI Data Base was used for test images. Projection of 80 spokes with linear sampling of 256 pixels was used. Reconstruction was performed by minimizing the L1 norm of a transformed image using wavelet transform and spatial finite-differences (total variation), subject to data fidelity constraint. In the absence of noise, the root mean square error (RMSE) of T1WI was in the range of 3.75 to 5.05; that of the anatomical region of interests (ROIs) was in the range of 1.54 to 10.24; those of T2WI were 8.75 to 11.65 and 4.31 to 6.99; and those of PDWI were 3.44 to 4.46 and 1.34 to 3.09. Visual evaluation was performed by three radiologists on the basis of three categories: artifact, anatomical structure, and tissue contrast. Average percent scores of the visual evaluation were 96% for T1WI, 74-81% for T2WI, and 81-89% for PDWI.

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http://dx.doi.org/10.11323/jjmp.37.3_150DOI Listing

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