Reconstructing MR images from under- or unevenly-sampled k-space

Linda Vu; Arsen R. Hajian; Paul H. Calamai; Andrew T. Cenko; Sarbast Rasheed; Jae K. Kim; Cameron Piron; Simon S. So; Jeff T. Meade; Kevin H. Knuth

doi:10.1117/12.858833

27 August 2010 Reconstructing MR images from under- or unevenly-sampled k-space

Linda Vu, Arsen R. Hajian, Paul H. Calamai, Andrew T. Cenko, Sarbast Rasheed, Jae K. Kim, Cameron Piron, Simon S. So, Jeff T. Meade, Kevin H. Knuth

Author Affiliations +

Proceedings Volume 7800, Image Reconstruction from Incomplete Data VI; 780006 (2010) https://doi.org/10.1117/12.858833
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

In MRI, non-rectilinear sampling trajectories are applied in k-space to enable faster imaging. Traditional image reconstruction methods such as a fast Fourier transform (FFT) can not process datasets sampled in non-rectilinear forms (e.g., radial, spiral, random, etc.) and more advanced algorithms are required. The Fourier reduction of optical interferometer data (FROID) algorithm is a novel image reconstruction method^1-3 proven to be successful in reconstructing spectra from sparsely and unevenly sampled astronomical interferometer data. The framework presented allows a priori information, such as the locations of the sampled points, to be incorporated into the reconstruction of images. In this paper, the FROID algorithm has been adapted and implemented to reconstruct magnetic resonance (MR) images from data acquired in k-space where the sampling positions are known. Also, simulated data, including randomly sampled data, are tested and analyzed.

Citation Download Citation

Linda Vu, Arsen R. Hajian, Paul H. Calamai, Andrew T. Cenko, Sarbast Rasheed, Jae K. Kim, Cameron Piron, Simon S. So, Jeff T. Meade, and Kevin H. Knuth "Reconstructing MR images from under- or unevenly-sampled k-space", Proc. SPIE 7800, Image Reconstruction from Incomplete Data VI, 780006 (27 August 2010); https://doi.org/10.1117/12.858833

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available