Literature DB >> 28544159

Simultaneous measurement of T1 /B1 and pharmacokinetic model parameters using active contrast encoding (ACE)-MRI.

Jin Zhang1, Kerryanne Winters1, Olivier Reynaud1, Sungheon Gene Kim1.   

Abstract

The aim of this study was to assess the feasibility of combining dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) with the measurement of the radiofrequency (RF) transmit field B1 and pre-contrast longitudinal relaxation time T10 . A novel approach has been proposed to simultaneously estimate B1 and T10 from a modified DCE-MRI scan that actively encodes the washout phase of the curve with different amounts of T1 and B1 weighting using multiple flip angles and repetition times, hence referred to as active contrast encoding (ACE)-MRI. ACE-MRI aims to simultaneously measure B1 and T10 , together with contrast kinetic parameters, such as the transfer constant Ktrans , interstitial space volume fraction ve and vascular space volume fraction vp . The proposed method was tested using numerical simulations and in vivo studies with mouse models of breast cancer implanted in the flank and mammary fat pad, and glioma in the brain. In the numerical simulation study with a signal-to-noise ratio of 10, both B1 and T10 were estimated accurately with errors of 5.1 ± 3.5% and 12.3 ± 8.8% and coefficients of variation (CV) of 14.9 ± 8.6% and 15.0 ± 5.0%, respectively. Using the same ACE-MRI data, the kinetic parameters Ktrans , ve and vp were also estimated with errors of 14.2 ± 8.3% (CV = 13.5 ± 4.6%), 14.7 ± 9.9% (CV = 13.3 ± 4.5%) and 14.0 ± 9.3% (CV = 14.0 ± 4.5%), respectively. For the in vivo tumor data from 11 mice, voxel-wise comparisons between ACE-MRI and DCE-MRI methods showed that the mean differences for the five parameters were as follows: ΔKtrans  = 0.006 (/min), Δve  = 0.016, Δvp  = 0.000, ΔB1  = -0.014 and ΔT1  = -0.085 (s), which suggests a good agreement between the two methods. When compared with separately measured B1 and T10 , and DCE-MRI estimated kinetic parameters as a reference, the mean relative errors of ACE-MRI estimation were B1  = -0.3%, T10  = -8.5%, Ktrans  = 11.4%, ve  = 14.5% and vp  = 4.5%. This proof-of-concept study demonstrates that the proposed ACE-MRI method can be used to estimate B1 and T10 , together with contrast kinetic model parameters.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  B1 mapping; T1 mapping; active contrast encoding; contrast kinetic model; dynamic contrast enhanced MRI

Mesh:

Substances:

Year:  2017        PMID: 28544159      PMCID: PMC5557664          DOI: 10.1002/nbm.3737

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  51 in total

1.  Accurate and rapid quantitative dynamic contrast-enhanced breast MR imaging using spoiled gradient-recalled echoes and bookend T(1) measurements.

Authors:  G O Cron; G Santyr; F Kelcz
Journal:  Magn Reson Med       Date:  1999-10       Impact factor: 4.668

2.  Evidence for shutter-speed variation in CR bolus-tracking studies of human pathology.

Authors:  Thomas E Yankeelov; William D Rooney; Wei Huang; Jonathan P Dyke; Xin Li; Alina Tudorica; Jing-Huei Lee; Jason A Koutcher; Charles S Springer
Journal:  NMR Biomed       Date:  2005-05       Impact factor: 4.044

3.  High-resolution T1 mapping of the brain at 3T with driven equilibrium single pulse observation of T1 with high-speed incorporation of RF field inhomogeneities (DESPOT1-HIFI).

Authors:  Sean C L Deoni
Journal:  J Magn Reson Imaging       Date:  2007-10       Impact factor: 4.813

Review 4.  Modeling tracer kinetics in dynamic Gd-DTPA MR imaging.

Authors:  P S Tofts
Journal:  J Magn Reson Imaging       Date:  1997 Jan-Feb       Impact factor: 4.813

5.  Uncertainty in MR tracer kinetic parameters and water exchange rates estimated from T1-weighted dynamic contrast enhanced MRI.

Authors:  Jin Zhang; Sungheon Kim
Journal:  Magn Reson Med       Date:  2013-09-04       Impact factor: 4.668

6.  Transmit B1+ field inhomogeneity and T1 estimation errors in breast DCE-MRI at 3 tesla.

Authors:  Kyunghyun Sung; Bruce L Daniel; Brian A Hargreaves
Journal:  J Magn Reson Imaging       Date:  2013-01-04       Impact factor: 4.813

Review 7.  Systematic review: using magnetic resonance imaging to screen women at high risk for breast cancer.

Authors:  Ellen Warner; Hans Messersmith; Petrina Causer; Andrea Eisen; Rene Shumak; Donald Plewes
Journal:  Ann Intern Med       Date:  2008-05-06       Impact factor: 25.391

8.  Rapid 3D radiofrequency field mapping using catalyzed double-angle method.

Authors:  Dingxin Wang; Sven Zuehlsdorff; Andrew C Larson
Journal:  NMR Biomed       Date:  2009-10       Impact factor: 4.044

9.  A simple correction for B1 field errors in magnetization transfer ratio measurements.

Authors:  Rebecca S Samson; Claudia A M Wheeler-Kingshott; Mark R Symms; Daniel J Tozer; Paul S Tofts
Journal:  Magn Reson Imaging       Date:  2005-12-27       Impact factor: 2.546

10.  Magnetic resonance fingerprinting.

Authors:  Dan Ma; Vikas Gulani; Nicole Seiberlich; Kecheng Liu; Jeffrey L Sunshine; Jeffrey L Duerk; Mark A Griswold
Journal:  Nature       Date:  2013-03-14       Impact factor: 49.962

View more
  6 in total

1.  Estimation of cellular-interstitial water exchange in dynamic contrast enhanced MRI using two flip angles.

Authors:  Jin Zhang; Sungheon Gene Kim
Journal:  NMR Biomed       Date:  2019-07-26       Impact factor: 4.044

2.  Rapid dynamic contrast-enhanced MRI for small animals at 7T using 3D ultra-short echo time and golden-angle radial sparse parallel MRI.

Authors:  Jin Zhang; Li Feng; Ricardo Otazo; Sungheon Gene Kim
Journal:  Magn Reson Med       Date:  2018-07-29       Impact factor: 4.668

3.  Estimation of Contrast Agent Concentration in DCE-MRI Using 2 Flip Angles.

Authors:  Ayesha Bharadwaj Das; James Andrew Tranos; Jin Zhang; Youssef Zaim Wadghiri; Sungheon Gene Kim
Journal:  Invest Radiol       Date:  2022-05-01       Impact factor: 6.016

4.  Advances in Diffusion and Perfusion MRI for Quantitative Cancer Imaging.

Authors:  Mehran Baboli; Jin Zhang; Sungheon Gene Kim
Journal:  Curr Pathobiol Rep       Date:  2019-12-02

5.  Assessment of tumor treatment response using active contrast encoding (ACE)-MRI: Comparison with conventional DCE-MRI.

Authors:  Jin Zhang; Kerryanne Winters; Karl Kiser; Mehran Baboli; Sungheon Gene Kim
Journal:  PLoS One       Date:  2020-06-10       Impact factor: 3.240

6.  Evaluation of metronomic chemotherapy response using diffusion and dynamic contrast-enhanced MRI.

Authors:  Mehran Baboli; Kerryanne V Winters; Melanie Freed; Jin Zhang; Sungheon Gene Kim
Journal:  PLoS One       Date:  2020-11-25       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.