Simultaneous multislice echo planar imaging with blipped controlled aliasing in parallel imaging results in higher acceleration: A promising technique for accelerated diffusion tensor imaging of skeletal muscle

Investigative Radiology

Volumn 50, Issue 7, 2015, Pages 456-463

  Filli, Lukas ^a   Piccirelli, Marco ^b   Kenkel, David ^a   Guggenberger, Roman ^a   Andreisek, Gustav ^a   Beck, Thomas ^c   Runge, Val M ^a   Boss, Andreas ^a  

^a University Hospital Zurich Institut fur Diagnostische Radiologie   (Switzerland)

^b UNIVERSITY HOSPITAL ZURICH   (Switzerland)

^c SIEMENS AG   (Germany)

Author keywords

diffusion tensor imaging; diffusion tractography; echo planar imaging; muscle skeletal; simultaneous multislice

Indexed keywords

ADULT; ARTICLE; DIFFUSION TENSOR IMAGING; ECHO PLANAR IMAGING; FEMALE; GASTROCNEMIUS MUSCLE; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; MAGNETIC FIELD; MALE; MUSCLE CELL; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIGNAL NOISE RATIO; SKELETAL MUSCLE; SOLEUS MUSCLE; TIBIALIS ANTERIOR MUSCLE; ARTIFACT; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; IMAGE ENHANCEMENT; MULTIMODAL IMAGING; PROCEDURES; REFERENCE VALUE; REPRODUCIBILITY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; SKELETAL MUSCLE CELL;

ADULT; ARTIFACTS; DIFFUSION TENSOR IMAGING; ECHO-PLANAR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MULTIMODAL IMAGING; MUSCLE FIBERS, SKELETAL; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84931838289     PISSN: 00209996     EISSN: 15360210     Source Type: Journal    
DOI: 10.1097/RLI.0000000000000151     Document Type: Article

References (44)

1. Basser PJ, Mattiello J, LeBihan D.MR diffusion tensor spectroscopy and imaging. Biophys J. 1994; 66: 259-267
2. Bammer R, Acar B, Moseley ME. In vivo MR tractography using diffusion imaging. Eur J Radiol. 2003; 45: 223-234
3. Basser PJ, Pajevic S, Pierpaoli C, et al. In vivo fiber tractography using DT-MRI data. Magn Resonan Med. 2000; 44: 625-632
4. Rohmer D, Sitek A, Gullberg GT. Reconstruction and visualization of fiber and laminar structure in the normal human heart from ex vivo diffusion tensor magnetic resonance imaging (DTMRI) data. Invest Radiol. 2007; 42: 777-789
5. Gasparotti R, Lodoli G, Meoded A, et al. Feasibility of diffusion tensor tractography of brachial plexus injuries at 1.5 T. Invest Radiol. 2013; 48: 104-112
6. Damon BM, Ding Z, Anderson AW, et al. Validation of diffusion tensor MRIbased muscle fiber tracking. Magn Reson Med. 2002; 48: 97-104
7. Galbán CJ, Maderwald S, Uffmann K, et al. Diffusive sensitivity to muscle architecture: a magnetic resonance diffusion tensor imaging study of the human calf. Eur J Appl Physiol. 2004; 93: 253-262
8. Heemskerk AM, Strijkers GJ, Vilanova A, et al. Determination of mouse skeletal muscle architecture using three-dimensional diffusion tensor imaging. Magn Reson Med. 2005; 53: 1333-1340
9. Sinha S, Sinha U, Edgerton VR. In vivo diffusion tensor imaging of the human calf muscle. J Magn Reson Imaging. 2006; 24: 182-190
10. Hiepe P, Herrmann KH, Güllmar D, et al. Fast low-angle shot diffusion tensor imaging with stimulated echo encoding in the muscle of rabbit shank. NMR Biomed. 2014; 27: 146-157
11. Fan RH, Does MD. Compartmental relaxation and diffusion tensor imaging measurements in vivo in lambda-carrageenan-induced edema in rat skeletal muscle. NMR Biomed. 2008; 21: 566-573
12. Zeng H, Zheng JH, Zhang JE, et al. Grading of rabbit skeletal muscle trauma by diffusion tensor imaging and tractography on magnetic resonance imaging. Chin Med Sci J. 2006; 21: 276-280
13. Zaraiskaya T, Kumbhare D, Noseworthy MD. Diffusion tensor imaging in evaluation of human skeletal muscle injury. JMagnReson Imaging. 2006; 24: 402-408
14. Froeling M, Oudeman J, Strijkers GJ, et al.Muscle changes detected by diffusiontensor imaging after long-distance running. Radiology. 2015; 274: 548-562
15. Okamoto Y, Kemp GJ, Isobe T, et al. Changes in diffusion tensor imaging (DTI) eigenvalues of skeletal muscle due to hybrid exercise training. Magn Reson Imaging. 2014; 32: 1297-1300
16. Noehren B, Andersen A, Feiweier T, et al. Comparison of twice refocused spin echo versus stimulated echo diffusion tensor imaging for tracking muscle fibers. J Magn Reson Imaging. 2015; 41: 624-632
17. Stanisz GJ, Odrobina EE, Pun J, et al. T1, T2 relaxation and magnetization transfer in tissue at 3 T. Magn Reson Med. 2005; 54: 507-512
18. Damon BM. Effects of image noise in muscle diffusion tensor (DT)-MRI assessed using numerical simulations. Magn Reson Med. 2008; 60: 934-944
19. Pruessmann KP, Weiger M, Scheidegger MB, et al. SENSE: sensitivity encoding for fast MRI. Magn Reson Med. 1999; 42: 952-962
20. Feinberg DA, Crooks LE, Hoenninger JC, et al. Contiguous thin multisectionMR imaging by two-dimensional Fourier transform techniques. Radiology. 1986; 158: 811-817
21. Breuer FA, Blaimer M, Heidemann RM, et al. Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) formulti-slice imaging. Magn Reson Med. 2005; 53: 684-691
22. Setsompop K, Gagoski BA, Polimeni JR, et al. Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magn Reson Med. 2012; 67: 1210-1224
23. Chang WT, Setsompop K, Ahveninen J, et al. Improving the spatial resolution of magnetic resonance inverse imaging via the blipped-CAIPI acquisition scheme. Neuroimage. 2014; 91: 401-411
24. Eichner C, Jafari-Khouzani K, Cauley S, et al. Slice accelerated gradient-echo spin-echo dynamic susceptibility contrast imaging with blipped CAIPI for increased slice coverage. Magn Reson Med. 2014; 72: 770-778
25. Lau AZ, Tunnicliffe EM, Frost R, et al. Accelerated human cardiac diffusion tensor imaging using simultaneous multislice imaging. Magn Reson Med. 2015; 73: 995-1004
26. Froeling M, Nederveen AJ, Nicolay K, et al. DTI of human skeletal muscle: the effects of diffusion encoding parameters, signal-to-noise ratio and T2 on tensor indices and fiber tracts. NMR Biomed. 2013; 26: 1339-1352
27. Schwenzer NF, Steidle G, Martirosian P, et al. Diffusion tensor imaging of the human calf muscle: distinct changes in fractional anisotropy and mean diffusion due to passive muscle shortening and stretching. NMR Biomed. 2009; 22: 1047-1053
28. Price RR, Axel L, Morgan T, et al. Quality assurance methods and phantoms for magnetic resonance imaging: report of AAPM nuclear magnetic resonance Task Group No. 1. Med Phys. 1990; 17: 287-295
29. Khalil C, Hancart C, Le Thuc V, et al. Diffusion tensor imaging and tractography of the median nerve in carpal tunnel syndrome: preliminary results. Eur Radiol. 2008; 18: 2283-2291
30. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977; 33: 159-174
31. Saupe N, White LM, Sussman MS, et al. Diffusion tensor magnetic resonance imaging of the human calf: comparison between 1.5 T and 3.0 T-preliminary results. Invest Radiol. 2008; 43: 612-618
32. Karampinos DC, Banerjee S, King KF, et al. Considerations in high-resolution skeletal muscle diffusion tensor imaging using single-shot echo planar imaging with stimulated-echo preparation and sensitivity encoding. NMR Biomed. 2012; 25: 766-778
33. Galbán CJ, Maderwald S, Uffmann K, et al. A diffusion tensor imaging analysis of gender differences in water diffusivity within human skeletal muscle. NMR Biomed. 2005; 18: 489-498
34. Lansdown DA, Ding Z, Wadington M, et al. Quantitative diffusion tensor MRIbased fiber tracking of human skeletal muscle. J Appl Physiol (1985). 2007; 103: 673-681
35. Heemskerk AM, Sinha TK, Wilson KJ, et al. Repeatability of DTI-based skeletal muscle fiber tracking. NMR Biomed. 2010; 23: 294-303
36. Jones DK. The effect of gradient sampling schemes onmeasures derived from diffusion tensor MRI: a Monte Carlo study. Magn Reson Med. 2004; 51: 807-815
37. Papadakis NG, Murrills CD, Hall LD, et al. Minimal gradient encoding for robust estimation of diffusion anisotropy. Magn Reson Imaging. 2000; 18: 671-679
38. Saupe N, White LM, Stainsby J, et al. Diffusion tensor imaging and fiber tractography of skeletal muscle: optimization of B value for imaging at 1.5 T. AJR Am J Roentgenol. 2009; 192: W282-W290
39. Budzik JF, Balbi V, Verclytte S, et al. Diffusion tensor imaging in musculoskeletal disorders. Radiographics. 2014; 34: E56-E72
40. Heemskerk AM, Sinha TK, Wilson KJ, et al. Quantitative assessment of DTIbased muscle fiber tracking and optimal tracking parameters. Magn Reson Med. 2009; 61: 467-472
41. Deux JF, Malzy P, Paragios N, et al. Assessment of calf muscle contraction by diffusion tensor imaging. Eur Radiol. 2008; 18: 2303-2310
42. Jones DK, Cercignani M. Twenty-five pitfalls in the analysis of diffusion MRI data. NMR Biomed. 2010; 23: 803-820
43. Kan JH, Heemskerk AM, Ding Z, et al. DTI-based muscle fiber tracking of the quadriceps mechanism in lateral patellar dislocation. J Magn Reson Imaging. 2009; 29: 663-670
44. Cermak NM, Noseworthy MD, Bourgeois JM, et al. Diffusion tensor MRI to assess skeletal muscle disruption following eccentric exercise. Muscle Nerve. 2012; 46: 42-50