Adaptive SENSE Reconstruction for Parallel Imaging with Massive Array Coils Conference Paper uri icon

abstract

  • This work presents an adaptive SENSE reconstruction method for parallel magnetic resonance imaging with a large number of localized coils. This method uses a Gaussian model to obtain improved coil sensitivity estimate. For image reconstruction, it dynamically selects a subset of receiver channels, in a pixel-by-pixel fashion, to improve computational efficiency and the signal-to-noise ratio (SNR). Computer simulations and real experiments show that the proposed method reconstructs images with reduced artifacts and higher SNR than the SENSE method.

author list (cited authors)

  • Son, J. B., Ji, J. X., McDougall, M. P., & Wright, S. M.

citation count

  • 5

publication date

  • January 2004

publisher