NDLI: Phantom-based evaluation of isotropic reconstruction of 4-D MRI volumes using super-resolution

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Phantom-based evaluation of isotropic reconstruction of 4-D MRI volumes using super-resolution

Content Provider	IEEE Xplore Digital Library
Author	Van Reeth, E. Tham, I.W.K. Cher Heng Tan Chueh Loo Poh
Copyright Year	2013
Description	Author affiliation: Sch. of Chem. & Bioeng., Nanyang Technol. Univ., Singapore, Singapore (Van Reeth, E.; Chueh Loo Poh) \|\| Dept. of Radiat. Oncology, Nat. Univ. Cancer Inst., Singapore, Singapore (Tham, I.W.K.) \|\| Dept. of Diagnostic Radiol., Tan Tock Seng Hosp., Singapore, Singapore (Cher Heng Tan)
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.
Starting Page	6
Ending Page	13
File Size	799649
Page Count	8
File Format	PDF
ISBN	9781467359191
ISSN	23269928
e-ISBN	9781467359191
DOI	10.1109/CIMI.2013.6583851
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-16
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Super-resolution Medical imaging Magnetic resonance imaging Lungs MRI Phantoms Phantom Volume reconstruction Spatial resolution Image reconstruction Tumors
Content Type	Text
Resource Type	Article

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