Paper
1 June 1991 Reconstructing MR images from incomplete Fourier data using the maximum entropy method
John Fielden, Henry Y. Kwong, Jacob Wilbrink
Author Affiliations +
Abstract
Frequently MRI data does not cover completely the desired region of k space. We have investigated the reconstruction of MR images from incomplete data using the MEMSYS 3 maximum entropy algorithm. We compare conventional modulus images with the maximum entropy images. We show the importance of incorporating spatial correlation into the maximum entropy reconstructions in order to minimize truncation artifacts.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John Fielden, Henry Y. Kwong, and Jacob Wilbrink "Reconstructing MR images from incomplete Fourier data using the maximum entropy method", Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); https://doi.org/10.1117/12.45212
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Cited by 1 scholarly publication.
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KEYWORDS
Correlation function

Image processing

Computer programming

Magnetic resonance imaging

Image resolution

Signal processing

Reconstruction algorithms

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