Accelerating MR imaging liver steatosis measurement using combined compressed sensing and parallel imaging: A quantitative evaluation

Radiology

Volumn 278, Issue 1, 2016, Pages 247-256

  Mann, Louis W ^a   Higgins, David M ^a   Peters, Carl N ^a   Cassidy, Sophie ^b   Hodson, Kenneth K ^b   Coombs, Anna ^b   Taylor, Roy ^a   Hollingsworth, Kieren G ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b PHILIPS HEALTHCARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR; HYPERGLYCEMIC AGENT; INSULIN; METFORMIN; SULFONYLUREA;

ADULT; AGED; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; FATTY LIVER; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; INSULIN RESISTANCE; INTRARATER RELIABILITY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; NUCLEAR MAGNETIC RESONANCE IMAGING; PANCREAS ISLET BETA CELL; PRIORITY JOURNAL; PROSPECTIVE STUDY; QUANTITATIVE ANALYSIS; RESPONSIBILITY; ALGORITHM; COMPLICATION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; INFORMATION PROCESSING; MIDDLE AGED; PROCEDURES; THREE DIMENSIONAL IMAGING;

ADULT; AGED; ALGORITHMS; DATA COMPRESSION; DIABETES MELLITUS, TYPE 2; FATTY LIVER; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED;

EID: 84946053769     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.2015150320     Document Type: Article

References (38)

1. Szczepaniak LS, Nurenberg P, Leonard D, et al. Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab 2005; 288(2):E462-E468
2. Day CP. Non-Alcoholic fatty liver disease: a massive problem. Clin Med 2011;11(2):176-178
3. Taylor R. Type 2 diabetes: etiology and reversibility. Diabetes Care 2013;36(4):1047-1055
4. Buchwald H, Avidor Y, Braunwald E, et al. Bariatric surgery: a systematic review and meta-Analysis. JAMA 2004;292(14):1724-1737
5. Dixon JB, OBrien PE, Playfair J, et al. Adjustable gastric banding and conventional prospectherapy for type 2 diabetes: a randomized controlled trial. JAMA 2008;299(3):316-323
6. Lim EL, Hollingsworth KG, Aribisala BS, Chen MJ, Mathers JC, Taylor R. Reversal of type 2 diabetes: normalisation of beta cell function in association with decreased pancreas and liver triacylglycerol. Diabetologia 2011;54(10):2506-2514
7. Hines CD, Frydrychowicz A, Hamilton G, et al. 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):873-881
8. Idilman IS, Aniktar H, Idilman R, et al. Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy. Radiology 2013;267(3):767-775
9. Khn JP, Hernando D, Muoz del Rio A, et al. Effect of multipeak spectral modeling of fat for liver iron and fat quantification: correlation of biopsy with MR imaging results. Radiology 2012;265(1):133-142
10. Le TA, Chen J, Changchien C, et al. Effect of colesevelam on liver fat quantified by magnetic resonance in nonalcoholic steatohepatitis: a randomized controlled trial. Hepatology 2012;56(3):922-932
11. Yokoo T, Shiehmorteza M, Hamilton G, et al. Estimation of hepatic proton-density fat fraction by using MR imaging at 3.0 T. Radiology 2011;258(3):749-759
12. Hu HH, Brnert P, Hernando D, et al. ISMRM workshop on fat-water separation: insights, applications and progress in MRI. Magn Reson Med 2012;68(2):378-388
13. Lustig M, Donoho D, Pauly JM. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 2007; 58(6):1182-1195
14. Lustig M, Pauly JM. SPIRiT: iterative self-consistent parallel imaging reconstruction from arbitrary k-space. Magn Reson Med 2010;64(2):457-471
15. Murphy M, Alley M, Demmel J, Keutzer K, Vasanawala S, Lustig M. Fast l-SPIRiT compressed sensing parallel imaging MRI: scalable parallel implementation and clinically feasible runtime. IEEE Trans Med Imaging 2012;31(6):1250-1262
16. Sharma SD, Hu HH, Nayak KS. Accelerated T2-compensated fat fraction quantification using a joint parallel imaging and compressed sensing framework. J Magn Reson Imaging 2013;38(5):1267-1275
17. Wiens CN, McCurdy CM, Willig-Onwuachi JD, McKenzie CA. R2-corrected water-fat imaging using compressed sensing and par-Allel imaging. Magn Reson Med 2014;71(2): 608-616
18. Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care 2004;27(6):1487-1495
19. Gdaniec N, Eggers H, Brnert P, Doneva M, Mertins A. Robust abdominal imaging with incomplete breath-holds. Magn Reson Med 2014;71(5):1733-1742
20. Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P. SENSE: sensitivity encoding for fast MRI. Magn Reson Med 1999;42(5): 952-962
21. Uecker M, Lai P, Murphy MJ, et al. ESPIRiT-An eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA. Magn Reson Med 2014;71(3):990-1001
22. Uecker M, Virtue P, Ong F, et al. Software toolbox and programming library for compressed sensing and parallel imaging. Presented at the ISMRM Workshop on Data Sampling and Reconstruction, Sedona, Ariz, February 3-6, 2013
23. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 2004;13(4):600-612
24. Hernando D, Hines CD, Yu H, Reeder SB. Addressing phase errors in fat-water imaging using a mixed magnitude/complex fitting method. Magn Reson Med 2012;67(3):638-644
25. Hamilton G, Yokoo T, Bydder M, et al. In vivo characterization of the liver fat H MR spectrum. NMR Biomed 2011;24(7):784-790
26. Hernando D, Kellman P, Haldar JP, Liang ZP. Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm. Magn Reson Med 2010; 63(1):79-90
27. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1(8476):307-310
28. Anwar M, Wood J, Manwani D, Taragin B, Oyeku SO, Peng Q. Hepatic iron quantification on 3 Tesla (3 T) magnetic resonance (MR): technical challenges and solutions. Radiol Res Pract 2013;2013:628150
29. Meloni A, Positano V, Keilberg P, et al. Feasibility, reproducibility, and reliability for the T2 iron evaluation at 3 T in comparison with 1.5 T. Magn Reson Med 2012;68(2):543-551
30. Hollingsworth KG, Higgins DM, McCallum M, Ward L, Coombs A, Straub V. Investigating the quantitative fidelity of prospec tively undersampled chemical shift imaging in muscular dystrophy with compressed sensing and parallel imaging reconstruction. Magn Reson Med 2014;72(6):1610-1619
31. Loughran T, Higgins DM, McCallum M, Coombs A, Straub V, Hollingsworth KG. Improving highly accelerated fat fraction measurements for clinical trials in muscular dystrophy: origin and quantitative effect of R2 changes. Radiology 2015;275(2):570-578
32. Reeder SB, McKenzie CA, Pineda AR, et al. Water-fat separation with IDEAL gradient-echo imaging. J Magn Reson Imaging 2007;25(3):644-652
33. Lu W, Yu H, Shimakawa A, Alley M, Reeder SB, Hargreaves BA. Water-fat separation with bipolar multiecho sequences. Magn Reson Med 2008;60(1):198-209
34. Peterson P, Mnsson S. Fat quantification using multiecho sequences with bipolar gradients: investigation of accuracy and noise performance. Magn Reson Med 2014; 71(1):219-229
35. Reeder SB, Bice EK, Yu H, Hernando D, Pineda AR. On the performance of T2 correction methods for quantification of hepatic fat content. Magn Reson Med 2012;67(2): 389-404
36. Horng DE, Hernando D, Hines CD, Reeder SB. Comparison of R2 correction methods for accurate fat quantification in fatty liver. J Magn Reson Imaging 2013;37(2):414-422
37. Parente DB, Rodrigues RS, Paiva FF, et al. Is MR spectroscopy really the best MR-based method for the evaluation of fatty liver in diabetic patients in clinical practice? PLoS ONE 2014;9(11):e112574
38. Tang A, Rabasa-Lhoret R, Castel H, et al. Effects of insulin glargine and liraglutide therapy on liver fat as measured by magnetic resonance in patients with type 2 diabetes: a randomized trial. Diabetes Care 2015;38(7):1339-1346