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Journal ArticleDOI

A novel phantom and method for comprehensive 3-dimensional measurement and correction of geometric distortion in magnetic resonance imaging

Deming Wang, +2 more
- 01 May 2004 - 
- Vol. 22, Iss: 4, pp 529-542
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TLDR
A phantom that can be used for mapping geometric distortion in magnetic resonance imaging (MRI) is described and it is anticipated that this novel method will have an impact on the applicability of MRI in both clinical and research settings, especially in areas where geometric accuracy is highly required, such as in MR neuro-imaging.
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This article is published in Magnetic Resonance Imaging.The article was published on 2004-05-01. It has received 167 citations till now. The article focuses on the topics: Imaging phantom & Distortion.

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Citations
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Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data

TL;DR: The image intensity reproducecibility of the human brain data was significantly improved with distortion correction, suggesting that this method may offer improved reproducibility in morphometry studies.
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Medical Rapid Prototyping Technologies: State of the Art and Current Limitations for Application in Oral and Maxillofacial Surgery

TL;DR: State-of-the-art software and hardware requirements for the manufacture of high quality medical models manufactured using medical rapid prototyping and a range of unwanted artefacts that create distortions on medical models have been identified.
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Radiotherapy planning using MRI

TL;DR: The wide range of image contrast mechanisms available to MRI and the way they are exploited for RT planning are reviewed, followed by a brief discussion on the development of real-time MRI-guided RT.
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A complete distortion correction for MR images: I. Gradient warp correction

TL;DR: A method for correcting the gradient warp distortion, based on a direct field mapping using a custom-built phantom with three orthogonal grids of fluid-filled rods, suitable for use with large field of view, extra-cranial images.
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Influence of multichannel combination, parallel imaging and other reconstruction techniques on MRI noise characteristics.

TL;DR: The statistical distribution of background noise was analyzed for MR acquisitions with a single-channel and a 32-channel coil, with sum-of-squares (SoS) and spatial-matched-filter (SMF) data combination, with and without parallel imaging using k-space and image-domain algorithms, with real-part and conventional magnitude reconstruction and with several reconstruction filters.
References
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Book

Image Processing: Analysis and Machine Vision

TL;DR: The digitized image and its properties are studied, including shape representation and description, and linear discrete image transforms, and texture analysis.
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Scattered data interpolation: tests of some methods

TL;DR: In this paper, the evaluation of methods for scattered data interpolation and some of the results of the tests when applied to a number of methods are presented. But the evaluation process involves evaluation of the methods in terms of timing, storage, accuracy, visual pleasantness of the surface, and ease of implementation.
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Quality assurance methods and phantoms for magnetic resonance imaging: report of AAPM nuclear magnetic resonance Task Group No. 1.

TL;DR: This publication is based on sources and information believed to be reliable, but the AAPM and the editors disclaim any warranty or liability based on or relating to the contents of this publication.
Journal ArticleDOI

A phantom study to assess the accuracy of stereotactic localization, using T1-weighted magnetic resonance imaging with the Leksell stereotactic system.

TL;DR: The results are an indication of the need to approach with caution stereotactic localization using magnetic resonance imaging and to emphasize the requirement for quality assurance and for a comprehensive study of the scanner's characteristics.
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Quantifying MRI geometric distortion in tissue

TL;DR: This work quantified the distortion in a tissue phantom and found the largest error to be approximately 2.8 pixels (1.8 mm) for B0 = 1.5 T, G = 3.13 mT/m and FOV = 160 × 160 × 70 mm3.
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