Abstract

A system to correct edge blurring in an image reconstructed with partial k-space data includes a magnetic resonance imaging system, a computer, and a network. The magnetic resonance imaging system has a plurality of gradient coils positioned about a bore of a magnet to impress a polarizing magnetic field and an RF transceiver system and an RF modulator controlled by a pulse control module to transmit RF signals to an RF coil assembly to acquire MR images. The computer is programmed to: acquire a partial k-space data set having both magnitude and phase information; filter the partial k-space data set through high and low-pass filters and a linear combination of both the high and low-pass filters; Fourier transform the filtered data set; estimate a blurring correction factor representative of a convolution error term from a portion of the filtered data set; and apply the blurring correction factor to the filtered data set to remove the convolution error term and reconstruct an MRI preserving both magnitude and phase information while minimizing edge blurring in the reconstructed MRI. The network is coupled to any one of the magnetic resonance imaging system and the computer. The network provides communication with a remote facility for remote services.

Other References

• Noll, Douglas C. et al., Homodyne Detection in Magnetic Resonance Imaging, IEEE Transactions on Medical Imaging, vol. 10, No. 2, Jun. 1991, pp. 154-16