Spectroscopy‐based multi‐parametric quantification in subjects with liver iron overload at 1.5T and 3T

Simchick, Gregory; Zhao, Ruiyang; Hamilton, Gavin; Reeder, Scott B.; Hernando, Diego

doi:10.1002/mrm.29021

Cited by 9 publications

(5 citation statements)

References 56 publications

(151 reference statements)

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“…[43][44][45] There are only a limited number of previous studies investigating similar single-voxel spectroscopybased methods for the efficient probing of multiple MR parameters including T 1 , T 2 , and PDFF. For example, Hamilton et al 44 and Simchick et al 46 proposed a multi-TR multi-TE STEAM acquisition scheme with a variable recovery delay for the simultaneous assessment of the PDFF and relaxation parameters in the liver. However, the proposed SHORTIE STEAM scheme has two favorable characteristics, when compared with multi-TR acquisition schemes.…”

Section: Discussionmentioning

confidence: 99%

Single‐voxel short‐TR multi‐TI multi‐TE STEAM MRS for water–fat relaxometry

Ruschke

Karampinos

2022

Magnetic Resonance in Med

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Purpose To propose a short‐TR multi‐TI multi‐TE (SHORTIE, [ˈshȯr‐tē]) STEAM single‐voxel MRS acquisition scheme for the simultaneous assessment of T1 relaxation, T2 relaxation, and the proton density fat fraction at reduced scan times when compared with conventional long‐TR multi‐TI STEAM and long‐TR multi‐TE STEAM single‐voxel MRS. Methods Theoretical analysis for multi‐TI (TI = 10, 100, 500, 1500 ms; scan time = 2:43 minutes), multi‐TE (TE = 12, 15, 20, 25 ms; scan time = 2:24 minutes), and SHORTIE STEAM (all TI and TE combinations; scan time = 2:52 minutes) was carried out including Cramér‐Rao lower bound and parameter estimation efficiency analysis for T1 (150–2000 ms) and T2 (5–150 ms) relaxation. The SHORTIE STEAM acquisition was compared with multi‐TI STEAM and multi‐TE STEAM in water–fat phantoms and in a human in vivo study of the adipose tissue depot in the supraclavicular fossa in 7 volunteers at 3 T. Results Cramér‐Rao lower bound analysis revealed similar to increased variances for T1 and T2 estimators for SHORTIE STEAM. Parameter efficiency analysis demonstrated superior performance of SHORTIE, particularly for shorter T1 and T2 when compared with multi‐TI STEAM and multi‐TE STEAM. For the phantom data, linear regression and Bland‐Altmann analysis yielded a slope/intercept/mean difference of 1.07/−15.40/−17.18 for T1 (in ms; r = 0.999), 0.93/+1.32/+1.09 for T2 (in ms; r = 0.995), and 0.98/−0.04/+0.78 for the fat fraction (in percent; r = 0.999); and for the in vivo data 1.08/+1.77/−62.2 for T1 (r = 0.994), 0.88/+6.69/−1.55 for T2 (r = 0.884), and 0.56/+34.40/−0.46 for the fat fraction (r = 0.673), respectively. Conclusion The SHORTIE STEAM acquisition allows shorter scan times for the simultaneous probing of relaxation properties and spectral content in the water–fat environment when compared with combined long‐TR multi‐TI, and long‐TR multi‐TE STEAM.

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Section: Discussionmentioning

confidence: 99%

Single‐voxel short‐TR multi‐TI multi‐TE STEAM MRS for water–fat relaxometry

Ruschke

Karampinos

2022

Magnetic Resonance in Med

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“…Fitting of spectroscopy data was performed using a Linear Combination model implemented in FSL‐MRS 52 version 1.1.10, part of FSL (FMRIB's Software Library, http://www.fmrib.ox.ac.uk/fsl). Briefly, basis spectra were fitted to the complex valued spectrum in frequency domain with Voigt line shape 53,54 . The basis spectra were shifted and broadened with parameters fitted to the data grouped in two metabolites groups (water and lipids).…”

Section: Methodsmentioning

confidence: 99%

“…Briefly, basis spectra were fitted to the complex valued spectrum in frequency domain with Voigt line shape. 53,54 The basis spectra were shifted and broadened with parameters fitted to the data grouped in two metabolites groups (water and lipids). A complex polynomial baseline was also concurrently fitted (order = 3).…”

Section: In Vitro: Fat-water Phantommentioning

confidence: 99%

Comparative review of algorithms and methods for chemical‐shift‐encoded quantitative fat‐water imaging

Daudé,

Roussel,

Troalen

et al. 2023

Magnetic Resonance in Med

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PurposeTo propose a standardized comparison between state‐of‐the‐art open‐source fat‐water separation algorithms for proton density fat fraction (PDFF) and quantification using an open‐source multi‐language toolbox.MethodsEight recent open‐source fat‐water separation algorithms were compared in silico, in vitro, and in vivo. Multi‐echo data were synthesized with varying fat‐fractions, B0 off‐resonance, SNR and TEs. Experimental evaluation was conducted using calibrated fat‐water phantoms acquired at 3T and multi‐site open‐source phantoms data. Algorithms' performances were observed on challenging in vivo datasets at 3T. Finally, reconstruction algorithms were investigated with different fat spectra to evaluate the importance of the fat model.ResultsIn silico and in vitro results proved most algorithms to be not sensitive to fat‐water swaps and offsets with five or more echoes. However, two methods remained inaccurate even with seven echoes and SNR = 50, and two other algorithms' precision depended on the echo spacing scheme (p < 0.05). The remaining four algorithms provided reliable performances with limits of agreement under 2% for PDFF and 6 s−1 for . The choice of fat spectrum model influenced quantification of PDFF mildly (<2% bias) and of more severely, with errors up to 20 s−1.ConclusionIn promoting standardized comparisons of MRI‐based fat and iron quantification using chemical‐shift encoded multi‐echo methods, this benchmark work has revealed some discrepancies between recent approaches for PDFF and mapping. Explicit choices and parameterization of the fat‐water algorithm appear necessary for reproducibility. This open‐source toolbox further enables the user to optimize acquisition parameters by predicting algorithms' margins of errors.

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“…Various approaches have been employed for trend analysis of hydrological and meteorological data, including both parametric (linear regression) (Simchick et al, 2022) and nonparametric approaches (Ahmad et al, 2022). The MAKESENS trend model (Salmi et al, 2002) is extensively used to identify the trends of various hydrometeorological parameters (Kang et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Crop coefficient, reference crop evapotranspiration and water demand of dry‐season Boro rice as affected by climate variability: A case study from northeast Bangladesh

Rahman

Ali

Mojid

et al. 2022

Irrigation and Drainage

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Climate variability and change significantly influence crop water demand by affecting crop coefficient (K c ), reference crop evapotranspiration (ET o , a grass reference) and potential crop evapotranspiration (ET c ). The climatic effects on these hydroclimatic parameters were investigated in the past mostly for the entire crop growth period, but little or no information is available on their variation over different growth stages of the crops, specifically in Bangladesh. Therefore, this study intended to evaluate the climatic effects on these hydroclimatic parameters at the initial, development, midseason and late-season growth stages of two rice varieties (Bangladesh Rice Research Institute [BRRI] dhan28 and BRRI dhan29) dominantly grown in the dry season in two northeast districts/subdistricts (Sylhet and Srimongal) as well as many other districts of Bangladesh. K c , ET 0 and ET c were analysed for the period from 1994 to 2015 using the analytical approach of the Food and Agriculture Organization (FAO) Penman-Monteith method. The results revealed that the K c of the rice varieties increased in all growth stages over time, with the maximum K c (1.247) in the mid-season stage in Srimongal. ET o and ET c were found to be maximum in the mid-season and late-season stages, respectively. The potential crop water demand (CWR pot ) greatly varied among the initial and development stages and between the two rice varieties. The initial and mid-season growth stages of rice required more water than the other growth stages. The results on the growth stagewise variation of the hydroclimatic parameters pertinent to rice cultivation may greatly contribute to irrigation scheduling for dry-season rice cultivation and planning water resources in the study region.

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Spectroscopy‐based multi‐parametric quantification in subjects with liver iron overload at 1.5T and 3T

Abstract: Purpose: To evaluate the precision profile (repeatability and reproducibility) of quantitative STEAM-MRS and to determine the relationships between multiple MR biomarkers of chronic liver disease in subjects with iron overload at both 1.5 Tesla (T) and 3T.

Cited by 9 publications

References 56 publications

Single‐voxel short‐TR multi‐TI multi‐TE STEAM MRS for water–fat relaxometry

Single‐voxel short‐TR multi‐TI multi‐TE STEAM MRS for water–fat relaxometry

Comparative review of algorithms and methods for chemical‐shift‐encoded quantitative fat‐water imaging

Crop coefficient, reference crop evapotranspiration and water demand of dry‐season Boro rice as affected by climate variability: A case study from northeast Bangladesh

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