Please use this identifier to cite or link to this item: https://doi.org/10.1109/CIMI.2013.6583851
Title: Phantom-based evaluation of isotropic reconstruction of 4-D MRI volumes using super-resolution
Authors: Van Reeth, E.
Tham, I.W.K. 
Tan, C.H. 
Poh, C.L.
Keywords: Interpolation
Medical imaging
MRI
Phantom
Super-resolution
Volume reconstruction
Issue Date: 2013
Abstract: This article investigates the feasibility of isotropic super-resolution reconstruction on 4-D (3-D + time) thoracic MRI data. 4-D MRI sequences generally have high temporal resolution to characterize dynamic phenomena but poor spatial resolution, creating highly anisotropic voxels elongated in the slice-select dimension. Isotropic post-acquisition reconstruction can be obtained using super-resolution algorithms. A new MRI compatible phantom design that simulates lung tumour motion is introduced to evaluate the feasibility and performance of the proposed super-resolution algorithm in the context of 4-D MRI. Several orthogonal low-resolution acquisitions of the phantom are performed through time using a fast true 3-D gradient echo based sequence. The acquired volumes are then registered and combined using a total-variation based regularizer super-resolution algorithm to obtain the high-resolution volume. The quality of the reconstruction is evaluated by measuring the mutual information between the reconstructed volume and a direct isotropic 3-D acquisition. Subjective and objective evaluations show the superiority of our approach compared to the averaging method. This article also discusses the influence of various parameters such as the number of low-resolution scans used and the influence of automatic motion estimation versus known displacement. © 2013 IEEE.
Source Title: Proceedings of the 2013 4th International Workshop on Computational Intelligence in Medical Imaging, CIMI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/125715
ISBN: 9781467359191
DOI: 10.1109/CIMI.2013.6583851
Appears in Collections:Staff Publications

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