Literature DB >> 30255963

Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction.

Ashley T Tao1, Yunhong Shu1, Ek T Tan2, Joshua D Trzasko1, Shengzhen Tao1, Robert D Reid3, Paul T Weavers1, John Huston1, Matt A Bernstein1.   

Abstract

BACKGROUND: Gradient nonlinearity (GNL) leads to biased apparent diffusion coefficients (ADCs) in diffusion-weighted imaging. A gradient nonlinearity correction (GNLC) method has been developed for whole body systems, but is yet to be tested for the new compact 3T (C3T) scanner, which exhibits more complex GNL due to its asymmetrical design.
PURPOSE: To assess the improvement of ADC quantification with GNLC for the C3T scanner. STUDY TYPE: Phantom measurements and retrospective analysis of patient data. PHANTOM/
SUBJECTS: A diffusion quality control phantom with vials containing 0-30% polyvinylpyrrolidone in water was used. For in vivo data, 12 patient exams were analyzed (median age, 33). FIELD STRENGTH/SEQUENCE: Imaging was performed on the C3T and two commercial 3T scanners. A clinical DWI (repetition time [TR] = 10,000 msec, echo time [TE] = minimum, b = 1000 s/mm2 ) sequence was used for phantom imaging and 10 patient cases and a clinical DTI (TR = 6000-10,000 msec, TE = minimum, b = 1000 s/mm2 ) sequence was used for two patient cases. ASSESSMENT: The 0% vial was measured along three orthogonal axes, and at two different temperatures. The ADC for each concentration was compared between the C3T and two whole-body scanners. Cerebrospinal fluid and white matter ADCs were quantified for each patient and compared to values in literature. STATISTICAL TESTS: Paired t-test and two-way analysis of variance (ANOVA).
RESULTS: For all PVP concentrations, the corrected ADC was within 2.5% of the reference ADC. On average, the ADC of cerebrospinal fluid and white matter post-GNLC were within 1% and 6%, respectively, of values reported in the literature and were significantly different from the uncorrected data (P < 0.05). DATA
CONCLUSION: This study demonstrated that GNL effects were more severe for the C3T due to the asymmetric gradient design, but our implementation of a GNLC compensated for these effects, resulting in ADC values that are in good agreement with values from the literature. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:1498-1507.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  apparent diffusion coefficient; diffusion weighted imaging; gradient non-linearity

Mesh:

Year:  2018        PMID: 30255963      PMCID: PMC6263730          DOI: 10.1002/jmri.26201

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  30 in total

1.  Geometric distortion in clinical MRI systems Part I: evaluation using a 3D phantom.

Authors:  Deming Wang; Wendy Strugnell; Gary Cowin; David M Doddrell; Richard Slaughter
Journal:  Magn Reson Imaging       Date:  2004-11       Impact factor: 2.546

2.  Imaging parameter effects in apparent diffusion coefficient determination of magnetic resonance imaging.

Authors:  Akio Ogura; Katsumi Hayakawa; Tosiaki Miyati; Fumie Maeda
Journal:  Eur J Radiol       Date:  2009-07-31       Impact factor: 3.528

3.  Development of a temperature-controlled phantom for magnetic resonance quality assurance of diffusion, dynamic, and relaxometry measurements.

Authors:  Neil P Jerome; Marianthi-Vasiliki Papoutsaki; Matthew R Orton; Harold G Parkes; Jessica M Winfield; Michael A Boss; Martin O Leach; Nandita M deSouza; David J Collins
Journal:  Med Phys       Date:  2016-06       Impact factor: 4.071

4.  Improved correction for gradient nonlinearity effects in diffusion-weighted imaging.

Authors:  Ek T Tan; Luca Marinelli; Zachary W Slavens; Kevin F King; Christopher J Hardy
Journal:  J Magn Reson Imaging       Date:  2012-11-21       Impact factor: 4.813

5.  Gradient nonlinearity correction to improve apparent diffusion coefficient accuracy and standardization in the american college of radiology imaging network 6698 breast cancer trial.

Authors:  David C Newitt; Ek T Tan; Lisa J Wilmes; Thomas L Chenevert; John Kornak; Luca Marinelli; Nola Hylton
Journal:  J Magn Reson Imaging       Date:  2015-03-11       Impact factor: 4.813

Review 6.  Quantitative magnetic resonance imaging phantoms: A review and the need for a system phantom.

Authors:  Kathryn E Keenan; Maureen Ainslie; Alex J Barker; Michael A Boss; Kim M Cecil; Cecil Charles; Thomas L Chenevert; Larry Clarke; Jeffrey L Evelhoch; Paul Finn; Daniel Gembris; Jeffrey L Gunter; Derek L G Hill; Clifford R Jack; Edward F Jackson; Guoying Liu; Stephen E Russek; Samir D Sharma; Michael Steckner; Karl F Stupic; Joshua D Trzasko; Chun Yuan; Jie Zheng
Journal:  Magn Reson Med       Date:  2017-10-30       Impact factor: 4.668

7.  Diffusion coefficient measurement using a temperature-controlled fluid for quality control in multicenter studies.

Authors:  Thomas L Chenevert; Craig J Galbán; Marko K Ivancevic; Susan E Rohrer; Frank J Londy; Thomas C Kwee; Charles R Meyer; Timothy D Johnson; Alnawaz Rehemtulla; Brian D Ross
Journal:  J Magn Reson Imaging       Date:  2011-10       Impact factor: 4.813

8.  Peripheral nerve stimulation characteristics of an asymmetric head-only gradient coil compatible with a high-channel-count receiver array.

Authors:  Seung-Kyun Lee; Jean-Baptiste Mathieu; Dominic Graziani; Joseph Piel; Eric Budesheim; Eric Fiveland; Christopher J Hardy; Ek Tsoon Tan; Bruce Amm; Thomas K-F Foo; Matt A Bernstein; John Huston; Yunhong Shu; John F Schenck
Journal:  Magn Reson Med       Date:  2015-12-02       Impact factor: 4.668

9.  Gradient nonlinearity calibration and correction for a compact, asymmetric magnetic resonance imaging gradient system.

Authors:  S Tao; J D Trzasko; J L Gunter; P T Weavers; Y Shu; J Huston; S K Lee; E T Tan; M A Bernstein
Journal:  Phys Med Biol       Date:  2016-12-29       Impact factor: 3.609

10.  Test liquids for quantitative MRI measurements of self-diffusion coefficient in vivo.

Authors:  P S Tofts; D Lloyd; C A Clark; G J Barker; G J Parker; P McConville; C Baldock; J M Pope
Journal:  Magn Reson Med       Date:  2000-03       Impact factor: 4.668

View more
  4 in total

1.  Distortion-free imaging: A double encoding method (DIADEM) combined with multiband imaging for rapid distortion-free high-resolution diffusion imaging on a compact 3T with high-performance gradients.

Authors:  Myung-Ho In; Ek Tsoon Tan; Joshua D Trzasko; Yunhong Shu; Daehun Kang; Uten Yarach; Shengzhen Tao; Erin M Gray; John Huston; Matt A Bernstein
Journal:  J Magn Reson Imaging       Date:  2019-05-20       Impact factor: 4.813

2.  Oscillating diffusion-encoding with a high gradient-amplitude and high slew-rate head-only gradient for human brain imaging.

Authors:  Ek T Tan; Robert Y Shih; Jhimli Mitra; Tim Sprenger; Yihe Hua; Chitresh Bhushan; Matt A Bernstein; Jennifer A McNab; J Kevin DeMarco; Vincent B Ho; Thomas K F Foo
Journal:  Magn Reson Med       Date:  2020-02-03       Impact factor: 4.668

3.  Peripheral nerve stimulation limits of a high amplitude and slew rate magnetic field gradient coil for neuroimaging.

Authors:  Ek T Tan; Yihe Hua; Eric W Fiveland; Mark E Vermilyea; Joseph E Piel; Keith J Park; Vincent B Ho; Thomas K F Foo
Journal:  Magn Reson Med       Date:  2019-08-06       Impact factor: 4.668

4.  Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI.

Authors:  Colin B Hansen; Baxter P Rogers; Kurt G Schilling; Vishwesh Nath; Justin A Blaber; Okan Irfanoglu; Alan Barnett; Carlo Pierpaoli; Adam W Anderson; Bennett A Landman
Journal:  Magn Reson Imaging       Date:  2020-11-19       Impact factor: 2.546

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.