Literature DB >> 26429270

Technical Note: Characterization and correction of gradient nonlinearity induced distortion on a 1.0 T open bore MR-SIM.

Ryan G Price1, Mo Kadbi2, Joshua Kim3, James Balter4, Indrin J Chetty1, Carri K Glide-Hurst1.   

Abstract

PURPOSE: Distortions in magnetic resonance imaging (MRI) compromise spatial fidelity, potentially impacting delineation and dose calculation. We characterized 2D and 3D large field of view (FOV), sequence-independent distortion at various positions in a 1.0 T high-field open MR simulator (MR-SIM) to implement correction maps for MRI treatment planning.
METHODS: A 36 × 43 × 2 cm(3) phantom with 255 known landmarks (∼1 mm(3)) was scanned using 1.0 T high-field open MR-SIM at isocenter in the transverse, sagittal, and coronal axes, and a 465 × 350 × 168 mm(3) 3D phantom was scanned by stepping in the superior-inferior direction in three overlapping positions to achieve a total 465 × 350 × 400 mm(3) sampled FOV yielding >13 800 landmarks (3D Gradient-Echo, TE/TR/α = 5.54 ms/30 ms/28°, voxel size = 1 × 1 × 2 mm(3)). A binary template (reference) was generated from a phantom schematic. An automated program converted MR images to binary via masking, thresholding, and testing for connectivity to identify landmarks. Distortion maps were generated by centroid mapping. Images were corrected via warping with inverse distortion maps, and temporal stability was assessed.
RESULTS: Over the sampled FOV, non-negligible residual gradient distortions existed as close as 9.5 cm from isocenter, with a maximum distortion of 7.4 mm as close as 23 cm from isocenter. Over six months, average gradient distortions were -0.07 ± 1.10 mm and 0.10 ± 1.10 mm in the x and y directions for the transverse plane, 0.03 ± 0.64 and -0.09 ± 0.70 mm in the sagittal plane, and 0.4 ± 1.16 and 0.04 ± 0.40 mm in the coronal plane. After implementing 3D correction maps, distortions were reduced to <1 pixel width (1 mm) for all voxels up to 25 cm from magnet isocenter.
CONCLUSIONS: Inherent distortion due to gradient nonlinearity was found to be non-negligible even with vendor corrections applied, and further corrections are required to obtain 1 mm accuracy for large FOVs. Statistical analysis of temporal stability shows that sequence independent distortion maps are consistent within six months of characterization.

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Year:  2015        PMID: 26429270      PMCID: PMC4583515          DOI: 10.1118/1.4930245

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  29 in total

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Authors:  A Fransson; P Andreo; R Pötter
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3.  Analysis of machine-dependent and object-induced geometric distortion in 2DFT MR imaging.

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Authors:  H Chang; J M Fitzpatrick
Journal:  IEEE Trans Med Imaging       Date:  1992       Impact factor: 10.048

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Authors:  P Jezzard; R S Balaban
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Authors:  Amy Walker; Gary Liney; Peter Metcalfe; Lois Holloway
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  13 in total

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Authors:  Siamak P Nejad-Davarani; Joshua P Kim; Dongsu Du; Carri Glide-Hurst
Journal:  Med Phys       Date:  2019-03-23       Impact factor: 4.071

2.  Image-based gradient non-linearity characterization to determine higher-order spherical harmonic coefficients for improved spatial position accuracy in magnetic resonance imaging.

Authors:  Paul T Weavers; Shengzhen Tao; Joshua D Trzasko; Yunhong Shu; Erik J Tryggestad; Jeffrey L Gunter; Kiaran P McGee; Daniel V Litwiller; Ken-Pin Hwang; Matt A Bernstein
Journal:  Magn Reson Imaging       Date:  2016-12-27       Impact factor: 2.546

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5.  Image Guided Radiation Therapy Using Synthetic Computed Tomography Images in Brain Cancer.

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7.  Optimization of a novel large field of view distortion phantom for MR-only treatment planning.

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8.  Dosimetric evaluation of synthetic CT for magnetic resonance-only based radiotherapy planning of lung cancer.

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Authors:  Carri K Glide-Hurst; Eric S Paulson; Kiaran McGee; Neelam Tyagi; Yanle Hu; James Balter; John Bayouth
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10.  MRI-Related Geometric Distortions in Stereotactic Radiotherapy Treatment Planning: Evaluation and Dosimetric Impact.

Authors:  Eleftherios P Pappas; Mukhtar Alshanqity; Argyris Moutsatsos; Hani Lababidi; Khalid Alsafi; Konstantinos Georgiou; Pantelis Karaiskos; Evangelos Georgiou
Journal:  Technol Cancer Res Treat       Date:  2017-10-11
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