Literature DB >> 25247326

Impact of measurement parameters on apparent diffusion coefficient quantification in diffusion-weighted-magnetic resonance imaging.

Holger Schmidt1, Sergios Gatidis, Nina F Schwenzer, Petros Martirosian.   

Abstract

OBJECTIVE: The scope of this work was to systematically evaluate the reproducibility of diffusion-weighted imaging and the impact of b values used for apparent diffusion coefficient (ADC) calculation as well as the echo time (TE) on the resulting ADC in phantom studies. We attempted to find a minimum upper b value needed for reliable ADC measurements. In addition, we were able to investigate these impacts not only for different diffusivities but also for different T2 relaxation times. The influence of different b values on ADC calculations for different organs was also assessed in a volunteer study.
MATERIALS AND METHODS: Diffusion-weighted imaging of a phantom consisting of 16 compartments with combinations of 4 different diffusivities and 4 different T2 relaxation times was conducted 5 times using 11 b values (0-1000 s/mm) and 5 different TEs. Apparent diffusion coefficient was calculated from the 16 compartment regions of interest using 42 different combinations of b values. Reproducibility of ADC was assessed from the coefficient of variation of the 5 measurements. The ADC stability was determined from a voxel-based coefficient of variation (CVsta) and the signal-to-noise ratio (SNR) to find the minimum upper b values for a reliable ADC quantification. The influence of TE on ADC quantification was assessed for 9 different b value combinations. The influence of 9 different b value combinations on ADC was evaluated by a region of interest analysis of 7 organs in 12 volunteers.
RESULTS: The found coefficient of variation was between 10.2% and 1.4%, decreasing with increasing upper b value and increasing diffusivities. Accordingly, CVsta and SNR showed the same trend. Using an upper b value of 600 s/mm gives already reliable ADC results showing a maximum CVsta of 7.5%, whereas an upper b value of 1000 s/mm revealed a maximum CVsta of 5.5%. Values of ADC reduced with increasing upper b value in phantom as well as in human data. Apparent diffusion coefficient also reduced with increasing TE and tended to increase for increasing T2 relaxation times and increasing diffusion restriction.
CONCLUSIONS: Apparent diffusion coefficient can be measured with high reproducibility but strongly depends on b values used and TE, which should be kept constant in each examination protocol. Whereas upper b values as low as 400 s/mm can be used for examinations of tissues with low diffusivities, very high b values (>1000 s/mm) are needed to reach an optimal SNR for high diffusive tissues. An upper b value of 600 s/mm is a good compromise regarding ADC stability, SNR, and measurement time for all tissue types.

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Year:  2015        PMID: 25247326     DOI: 10.1097/RLI.0000000000000095

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  14 in total

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4.  Renal Adiposity Confounds Quantitative Assessment of Markers of Renal Diffusion With MRI: A Proposed Correction Method.

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6.  Effects of motion and b-value on apparent temperature measurement by diffusion-based thermometry MRI: eye vitreous study.

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

Authors:  Ashley T Tao; Yunhong Shu; Ek T Tan; Joshua D Trzasko; Shengzhen Tao; Robert D Reid; Paul T Weavers; John Huston; Matt A Bernstein
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8.  Apparent diffusion coefficient normalization of normal liver: Will it improve the reproducibility of diffusion-weighted imaging at different MR scanners as a new biomarker?

Authors:  Jie Zhu; Jie Zhang; Jia-Yin Gao; Jin-Ning Li; Da-Wei Yang; Min Chen; Cheng Zhou; Zheng-Han Yang
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9.  A data-driven statistical model that estimates measurement uncertainty improves interpretation of ADC reproducibility: a multi-site study of liver metastases.

Authors:  Ryan Pathak; Hossein Ragheb; Neil A Thacker; David M Morris; Houshang Amiri; Joost Kuijer; Nandita M deSouza; Arend Heerschap; Alan Jackson
Journal:  Sci Rep       Date:  2017-10-26       Impact factor: 4.379

10.  Computed diffusion weighted imaging (cDWI) and voxelwise-computed diffusion weighted imaging (vcDWI) for oncologic liver imaging: A pilot study.

Authors:  Ferdinand Seith; Petros Martirosian; Konstantin Nikolaou; Christian la Fougère; Nina Schwenzer; Holger Schmidt
Journal:  Eur J Radiol Open       Date:  2018-07-30
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