Sensitivity of Chemical Shift-encoded Fat Quantification to Calibration of Fat MR Spectrum

Overview

Journal Magn Reson Med

Publisher Wiley

Specialty Radiology

Date 2015 Apr 8

PMID 25845713

Citations 29

Authors

Xiaoke Wang

Diego Hernando

Scott B Reeder

Affiliations

Soon will be listed here.

Abstract

Purpose: To evaluate the impact of different fat spectral models on proton density fat fraction quantification using chemical shift-encoded MRI (CSE-MRI).

Methods: In a simulation study, spectral models of fat were compared pairwise. Comparison of magnitude fitting and mixed fitting was performed over a range of echo times and fat fractions. In vivo acquisitions from 41 patients were reconstructed using seven published spectral models of fat. T2-corrected stimulated echo acquisition mode MR spectroscopy was used as a reference.

Results: The simulations demonstrated that imperfectly calibrated spectral models of fat result in biases that depend on echo times and fat fraction. Mixed fitting was more robust against this bias than magnitude fitting. Multipeak spectral models showed much smaller differences among themselves than from the single-peak spectral model. In vivo studies showed that all multipeak models agreed better (for mixed fitting, the slope ranged from 0.967 to 1.045 using linear regression) with the reference standard than the single-peak model (for mixed fitting, slope = 0.76).

Conclusion: It is essential to use a multipeak fat model for accurate quantification of fat with CSE-MRI. Furthermore, fat quantification techniques using multipeak fat models are comparable, and no specific choice of spectral model has been shown to be superior to the rest.

Citing Articles

Reproducibility of proton density fat fraction assessment of thigh muscle in a multi-site, multi-vendor cohort study at 10 years after anterior cruciate ligament reconstruction.

Eck B, Gaj S, Lartey R, Li M, Kim J, Winalski C Quant Imaging Med Surg. 2024; 14(12):8099-8118.

PMID: 39698646 PMC: 11651994. DOI: 10.21037/qims-24-287.

Free-Breathing High-Resolution, Swap-Free, and Motion-Corrected Water/Fat Separation in Pediatric Abdominal MRI.

Nosrati R, Calakli F, Afacan O, Pelkola K, Nichols R, Connaughton P Invest Radiol. 2024; 59(12):805-812.

PMID: 38857418 PMC: 11560742. DOI: 10.1097/RLI.0000000000001092.

Nonalcoholic steatohepatitis: A comprehensive updated review of risk factors, symptoms, and treatment.

Savari F, Mard S Heliyon. 2024; 10(7):e28468.

PMID: 38689985 PMC: 11059522. DOI: 10.1016/j.heliyon.2024.e28468.

Linearity and bias of proton density fat fraction across the full dynamic range of 0-100%: a multiplatform, multivendor phantom study using 1.5T and 3T MRI at two sites.

Hu H, Chen H, Hernando D MAGMA. 2024; 37(4):551-563.

PMID: 38349454 PMC: 11428149. DOI: 10.1007/s10334-024-01148-9.

CEST-MRI for body oncologic imaging: are we there yet?.

Vinogradov E, Keupp J, Dimitrov I, Seiler S, Pedrosa I NMR Biomed. 2023; 36(6):e4906.

PMID: 36640112 PMC: 10200773. DOI: 10.1002/nbm.4906.

References

Reeder S, Bice E, Yu H, Hernando D, Pineda A . On the performance of T2* correction methods for quantification of hepatic fat content. Magn Reson Med. 2011; 67(2):389-404. PMC: 4151133. DOI: 10.1002/mrm.23016. View

Reeder S, McKenzie C, Pineda A, Yu H, Shimakawa A, Brau A . Water-fat separation with IDEAL gradient-echo imaging. J Magn Reson Imaging. 2007; 25(3):644-52. DOI: 10.1002/jmri.20831. View

Bydder M, Hamilton G, Yokoo T, Sirlin C . Optimal phased-array combination for spectroscopy. Magn Reson Imaging. 2008; 26(6):847-50. PMC: 2868913. DOI: 10.1016/j.mri.2008.01.050. View

Schwenzer N, Machann J, Haap M, Martirosian P, Schraml C, Liebig G . T2* relaxometry in liver, pancreas, and spleen in a healthy cohort of one hundred twenty-nine subjects-correlation with age, gender, and serum ferritin. Invest Radiol. 2008; 43(12):854-60. DOI: 10.1097/RLI.0b013e3181862413. View

Bydder M, Yokoo T, Hamilton G, Middleton M, Chavez A, Schwimmer J . Relaxation effects in the quantification of fat using gradient echo imaging. Magn Reson Imaging. 2007; 26(3):347-59. PMC: 2386876. DOI: 10.1016/j.mri.2007.08.012. View

Vanhamme , van den Boogaart A , Van Huffel S . Improved method for accurate and efficient quantification of MRS data with use of prior knowledge . J Magn Reson. 1998; 129(1):35-43. DOI: 10.1006/jmre.1997.1244. View

Liu C, McKenzie C, Yu H, Brittain J, Reeder S . Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise. Magn Reson Med. 2007; 58(2):354-64. DOI: 10.1002/mrm.21301. View

Reeder S, Pineda A, Wen Z, Shimakawa A, Yu H, Brittain J . Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast spin-echo imaging. Magn Reson Med. 2005; 54(3):636-44. DOI: 10.1002/mrm.20624. View

Yu H, Shimakawa A, Hines C, McKenzie C, Hamilton G, Sirlin C . Combination of complex-based and magnitude-based multiecho water-fat separation for accurate quantification of fat-fraction. Magn Reson Med. 2011; 66(1):199-206. PMC: 3130743. DOI: 10.1002/mrm.22840. View

10.

Sharma P, Martin D, Pineda N, Xu Q, Vos M, Anania F . Quantitative analysis of T2-correction in single-voxel magnetic resonance spectroscopy of hepatic lipid fraction. J Magn Reson Imaging. 2009; 29(3):629-35. PMC: 3985419. DOI: 10.1002/jmri.21682. View

11.

Naressi A, Couturier C, Devos J, Janssen M, Mangeat C, de Beer R . Java-based graphical user interface for the MRUI quantitation package. MAGMA. 2001; 12(2-3):141-52. DOI: 10.1007/BF02668096. View

12.

Hernando D, Hines C, Yu H, Reeder S . Addressing phase errors in fat-water imaging using a mixed magnitude/complex fitting method. Magn Reson Med. 2011; 67(3):638-44. PMC: 3525711. DOI: 10.1002/mrm.23044. View

13.

Berglund J, Kullberg J . Three-dimensional water/fat separation and T2* estimation based on whole-image optimization--application in breathhold liver imaging at 1.5 T. Magn Reson Med. 2011; 67(6):1684-93. DOI: 10.1002/mrm.23185. View

14.

Szczepaniak L, Nurenberg P, Leonard D, Browning J, Reingold J, Grundy S . Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab. 2004; 288(2):E462-8. DOI: 10.1152/ajpendo.00064.2004. View

15.

Hines C, Frydrychowicz A, Hamilton G, Tudorascu D, Vigen K, Yu H . T(1) independent, T(2) (*) corrected chemical shift based fat-water separation with multi-peak fat spectral modeling is an accurate and precise measure of hepatic steatosis. J Magn Reson Imaging. 2011; 33(4):873-81. PMC: 3130738. DOI: 10.1002/jmri.22514. View

16.

Zhong X, Nickel M, Kannengiesser S, Dale B, Kiefer B, Bashir M . Liver fat quantification using a multi-step adaptive fitting approach with multi-echo GRE imaging. Magn Reson Med. 2013; 72(5):1353-65. DOI: 10.1002/mrm.25054. View

17.

de Bazelaire C, Duhamel G, Rofsky N, Alsop D . MR imaging relaxation times of abdominal and pelvic tissues measured in vivo at 3.0 T: preliminary results. Radiology. 2004; 230(3):652-9. DOI: 10.1148/radiol.2303021331. View

18.

Yokoo T, Bydder M, Hamilton G, Middleton M, Gamst A, Wolfson T . Nonalcoholic fatty liver disease: diagnostic and fat-grading accuracy of low-flip-angle multiecho gradient-recalled-echo MR imaging at 1.5 T. Radiology. 2009; 251(1):67-76. PMC: 2663579. DOI: 10.1148/radiol.2511080666. View

19.

Hernando D, Sharma S, Kramer H, Reeder S . On the confounding effect of temperature on chemical shift-encoded fat quantification. Magn Reson Med. 2013; 72(2):464-70. PMC: 4209253. DOI: 10.1002/mrm.24951. View

20.

Kuhn J, Hernando D, Rio A, Evert M, Kannengiesser S, Volzke H . Effect of multipeak spectral modeling of fat for liver iron and fat quantification: correlation of biopsy with MR imaging results. Radiology. 2012; 265(1):133-42. PMC: 3447175. DOI: 10.1148/radiol.12112520. View