Reconstructing MR images from incomplete Fourier data using the maximum entropy method

John Fielden; Henry Y. Kwong; Jacob Wilbrink

doi:10.1117/12.45212

1 June 1991 Reconstructing MR images from incomplete Fourier data using the maximum entropy method

John Fielden, Henry Y. Kwong, Jacob Wilbrink

Author Affiliations +

Proceedings Volume 1445, Medical Imaging V: Image Processing; (1991) https://doi.org/10.1117/12.45212
Event: Medical Imaging '91, 1991, San Jose, CA, United States

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.

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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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