Paper
21 May 1999 Progressive multiresolution reconstruction in MRI
Yong Man Ro
Author Affiliations +
Abstract
A progressive reconstruction technique is presented in magnetic resonance (MR) imaging. To do so, matching pursuit algorithm is applied to MR Imaging. For MR imaging, Fourier basis set is used as a dictionary of MP algorithm. In the progressive reconstruction algorithm proposed in this paper, the inner products of object signal and basis functions are utilized instead of those of residual signals and basis functions for original matching pursuit algorithm. By reconstructing the object hierarchically, one can achieve a quick recognition of image during data acquisition, i.e., at each phase encoding step, the image is reconstructed and updated progressively while, in conventional, image reconstruction is performed after all phase encoding steps. To verify the proposed technique, computer simulations and experiments with whole body MRI system are performed.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Man Ro "Progressive multiresolution reconstruction in MRI", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348524
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KEYWORDS
Magnetic resonance imaging

Reconstruction algorithms

Computer programming

Associative arrays

Data acquisition

Computer simulations

Detection and tracking algorithms

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