Literature DB >> 3431401

Optimizing the precision in T1 relaxation estimation using limited flip angles.

H Z Wang1, S J Riederer, J N Lee.   

Abstract

In this article we describe the precision in the estimation of the spin-lattice relaxation time T1 from MRI signals acquired for various flip angles with the repetition time TR held constant. We review the estimation procedure itself and present a model for the propagation of noise in the signal into the calculated T1. This model is verified by both Monte Carlo simulations and experimental data taken on image phantoms. Based on this model, we find that for a given TR/T1 there exist two optimal flip angles that will minimize the uncertainty in the estimated T1. We also show how two optimal angles can be selected for a given range of TR/T1 values. In addition, T1 estimation using the two optimal angles can be comparable to or better than using multiple evenly spaced angles. Finally, in an initial comparison with the two-point saturation recovery method of calculating T1, results for equal total scanning time TRTot suggest that for T1 greater than 0.5 TRTot, the limited flip angle approach gives better T1 precision whereas for T1 less than 0.5 TRTot the saturation recovery approach is better.

Mesh:

Year:  1987        PMID: 3431401     DOI: 10.1002/mrm.1910050502

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  84 in total

1.  Quantitative MR imaging of two-pool magnetization transfer model parameters in myelin mutant shaking pup.

Authors:  Alexey Samsonov; Andrew L Alexander; Pouria Mossahebi; Yu-Chien Wu; Ian D Duncan; Aaron S Field
Journal:  Neuroimage       Date:  2012-06-01       Impact factor: 6.556

2.  Differential microstructure and physiology of brain and bone metastases in a rat breast cancer model by diffusion and dynamic contrast enhanced MRI.

Authors:  Matthew D Budde; Eric Gold; E Kay Jordan; Joseph A Frank
Journal:  Clin Exp Metastasis       Date:  2011-11-01       Impact factor: 5.150

3.  Rapid measurement of T1 with spatially selective pre-inversion pulses.

Authors:  E McVeigh; A Yang; E Zerhouni
Journal:  Med Phys       Date:  1990 Jan-Feb       Impact factor: 4.071

4.  Impact of uncertainty in longitudinal T1 measurements on quantification of dynamic contrast-enhanced MRI.

Authors:  Madhava P Aryal; Thomas L Chenevert; Yue Cao
Journal:  NMR Biomed       Date:  2016-01-21       Impact factor: 4.044

5.  Robustness of quantitative compressive sensing MRI: the effect of random undersampling patterns on derived parameters for DCE- and DSC-MRI.

Authors:  David S Smith; Xia Li; James V Gambrell; Lori R Arlinghaus; C Chad Quarles; Thomas E Yankeelov; E Brian Welch
Journal:  IEEE Trans Med Imaging       Date:  2011-10-14       Impact factor: 10.048

6.  TriTone: a radiofrequency field (B1)-insensitive T1 estimator for MRI at high magnetic fields.

Authors:  Roman Fleysher; Lazar Fleysher; Songtao Liu; Oded Gonen
Journal:  Magn Reson Imaging       Date:  2008-05-22       Impact factor: 2.546

7.  Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Authors:  Joshua M Goldenberg; Julio Cárdenas-Rodríguez; Mark D Pagel
Journal:  Magn Reson Med       Date:  2018-09-17       Impact factor: 4.668

8.  Linear least-squares method for unbiased estimation of T1 from SPGR signals.

Authors:  Lin-Ching Chang; Cheng Guan Koay; Peter J Basser; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

Review 9.  Multiparametric MR Imaging in Abdominal Malignancies.

Authors:  Antonio Luna; Shivani Pahwa; Claudio Bonini; Lidia Alcalá-Mata; Katherine L Wright; Vikas Gulani
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

10.  Joint brain parametric T1-map segmentation and RF inhomogeneity calibration.

Authors:  Ping-Feng Chen; R Grant Steen; Anthony Yezzi; Hamid Krim
Journal:  Int J Biomed Imaging       Date:  2009-08-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.