Slice-accelerated Gradient-echo Echo Planar Imaging Dynamic Susceptibility Contrast-enhanced MRI with Blipped CAIPI: Effect of Increasing Temporal Resolution

Overview

Journal Jpn J Radiol

Publisher Springer

Specialty Radiology

Date 2017 Nov 1

PMID 29086345

Citations 3

Authors

Tomohiro Takamura

Masaaki Hori

Koji Kamagata

Kanako K Kumamaru

Ryusuke Irie

Akifumi Hagiwara

Nozomi Hamasaki

Shigeki Aoki

Affiliations

Soon will be listed here.

Abstract

Purpose: To assess the influence of high temporal resolution on the perfusion measurements and image quality of perfusion maps, by applying simultaneous-multi-slice acquisition (SMS) dynamic susceptibility contrast-enhanced (DSC) magnetic resonance imaging (MRI).

Materials And Methods: DSC-MRI data using SMS gradient-echo echo planar imaging sequences in 10 subjects with no intracranial abnormalities were retrospectively analyzed. Three additional data sets with temporal resolution of 1.0, 1.5, and 2.0 s were created from the raw data sets of 0.5 s. Cerebral blood flow (CBF), cerebral blood volume, mean transit time (MTT), time to peak (TTP), and time to maximum tissue residue function (T ) measurements were performed, as was visual perfusion map analysis. The perfusion parameter for temporal resolution of 0.5 s (reference) was compared with each synthesized perfusion parameter.

Results: CBF, MTT, and TTP values at temporal resolutions of 1.5 and 2.0 s differed significantly from the reference. The image quality of MTT, TTP, and T maps deteriorated with decreasing temporal resolution.

Conclusion: The temporal resolution of DSC-MRI influences perfusion parameters and SMS DSC-MRI provides better image quality for MTT, TTP, and T maps.

Citing Articles

Effect of Temporal Sampling Rate on Estimates of the Perfusion Parameters for Patients with Moyamoya Disease Assessed with Simultaneous Multislice Dynamic Susceptibility Contrast-enhanced MR Imaging.

Takamura T, Hara S, Nariai T, Ikenouchi Y, Suzuki M, Taoka T Magn Reson Med Sci. 2022; 22(3):301-312.

PMID: 35296610 PMC: 10449549. DOI: 10.2463/mrms.mp.2021-0162.

Comparison of magnetization transfer contrast of conventional and simultaneous multislice turbo spin echo acquisitions focusing on excitation time interval.

Murata S, Tachibana Y, Murata K, Kamagata K, Hori M, Andica C Jpn J Radiol. 2019; 37(8):579-589.

PMID: 31230186 DOI: 10.1007/s11604-019-00848-w.

Application of Quantitative Microstructural MR Imaging with Atlas-based Analysis for the Spinal Cord in Cervical Spondylotic Myelopathy.

Hori M, Hagiwara A, Fukunaga I, Ueda R, Kamiya K, Suzuki Y Sci Rep. 2018; 8(1):5213.

PMID: 29581458 PMC: 5979956. DOI: 10.1038/s41598-018-23527-8.

References

Eichner C, Jafari-Khouzani K, Cauley S, Bhat H, Polaskova P, Andronesi O . Slice accelerated gradient-echo spin-echo dynamic susceptibility contrast imaging with blipped CAIPI for increased slice coverage. Magn Reson Med. 2013; 72(3):770-8. PMC: 4002660. DOI: 10.1002/mrm.24960. View

Furlan A, Eyding D, Albers G, Al-Rawi Y, Lees K, Rowley H . Dose Escalation of Desmoteplase for Acute Ischemic Stroke (DEDAS): evidence of safety and efficacy 3 to 9 hours after stroke onset. Stroke. 2006; 37(5):1227-31. DOI: 10.1161/01.STR.0000217403.66996.6d. View

Kamena A, Streitparth F, Grieser C, Lehmkuhl L, Jamil B, Wojtal K . Dynamic perfusion CT: optimizing the temporal resolution for the calculation of perfusion CT parameters in stroke patients. Eur J Radiol. 2007; 64(1):111-8. DOI: 10.1016/j.ejrad.2007.02.025. View

Hacke W, Albers G, Al-Rawi Y, Bogousslavsky J, Davalos A, Eliasziw M . The Desmoteplase in Acute Ischemic Stroke Trial (DIAS): a phase II MRI-based 9-hour window acute stroke thrombolysis trial with intravenous desmoteplase. Stroke. 2004; 36(1):66-73. DOI: 10.1161/01.STR.0000149938.08731.2c. View

Calamante F, Willats L, Gadian D, Connelly A . Bolus delay and dispersion in perfusion MRI: implications for tissue predictor models in stroke. Magn Reson Med. 2006; 55(5):1180-5. DOI: 10.1002/mrm.20873. View

Butcher K, Parsons M, MacGregor L, Barber P, Chalk J, Bladin C . Refining the perfusion-diffusion mismatch hypothesis. Stroke. 2005; 36(6):1153-9. DOI: 10.1161/01.str.0000166181.86928.8b. View

Breuer F, Blaimer M, Heidemann R, Mueller M, Griswold M, Jakob P . Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for multi-slice imaging. Magn Reson Med. 2005; 53(3):684-91. DOI: 10.1002/mrm.20401. View

Bjornerud A, Emblem K . A fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRI. J Cereb Blood Flow Metab. 2010; 30(5):1066-78. PMC: 2949177. DOI: 10.1038/jcbfm.2010.4. View

Bleeker E, van Buchem M, van Osch M . Optimal location for arterial input function measurements near the middle cerebral artery in first-pass perfusion MRI. J Cereb Blood Flow Metab. 2009; 29(4):840-52. DOI: 10.1038/jcbfm.2008.155. View

10.

Boxerman J, Rosen B, Weisskoff R . Signal-to-noise analysis of cerebral blood volume maps from dynamic NMR imaging studies. J Magn Reson Imaging. 1997; 7(3):528-37. DOI: 10.1002/jmri.1880070313. View

11.

Hu L, Baxter L, Smith K, Feuerstein B, Karis J, Eschbacher J . Relative cerebral blood volume values to differentiate high-grade glioma recurrence from posttreatment radiation effect: direct correlation between image-guided tissue histopathology and localized dynamic susceptibility-weighted contrast-enhanced.... AJNR Am J Neuroradiol. 2008; 30(3):552-8. PMC: 7051449. DOI: 10.3174/ajnr.A1377. View

12.

Kudo K, Sasaki M, Ostergaard L, Christensen S, Uwano I, Suzuki M . Susceptibility of Tmax to tracer delay on perfusion analysis: quantitative evaluation of various deconvolution algorithms using digital phantoms. J Cereb Blood Flow Metab. 2010; 31(3):908-12. PMC: 3063623. DOI: 10.1038/jcbfm.2010.169. View

13.

Rosen B, Belliveau J, Vevea J, Brady T . Perfusion imaging with NMR contrast agents. Magn Reson Med. 1990; 14(2):249-65. DOI: 10.1002/mrm.1910140211. View

14.

Welker K, Boxerman J, Kalnin A, Kaufmann T, Shiroishi M, Wintermark M . ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain. AJNR Am J Neuroradiol. 2015; 36(6):E41-51. PMC: 5074767. DOI: 10.3174/ajnr.A4341. View

15.

Hakyemez B, Erdogan C, Ercan I, Ergin N, Uysal S, Atahan S . High-grade and low-grade gliomas: differentiation by using perfusion MR imaging. Clin Radiol. 2005; 60(4):493-502. DOI: 10.1016/j.crad.2004.09.009. View

16.

Mouridsen K, Christensen S, Gyldensted L, Ostergaard L . Automatic selection of arterial input function using cluster analysis. Magn Reson Med. 2006; 55(3):524-31. DOI: 10.1002/mrm.20759. View

17.

Barth M, Breuer F, Koopmans P, Norris D, Poser B . Simultaneous multislice (SMS) imaging techniques. Magn Reson Med. 2015; 75(1):63-81. PMC: 4915494. DOI: 10.1002/mrm.25897. View

18.

Hourani R, Brant L, Rizk T, Weingart J, Barker P, Horska A . Can proton MR spectroscopic and perfusion imaging differentiate between neoplastic and nonneoplastic brain lesions in adults?. AJNR Am J Neuroradiol. 2007; 29(2):366-72. PMC: 2946840. DOI: 10.3174/ajnr.A0810. View

19.

Rollin N, Guyotat J, Streichenberger N, Honnorat J, Tran Minh V, Cotton F . Clinical relevance of diffusion and perfusion magnetic resonance imaging in assessing intra-axial brain tumors. Neuroradiology. 2006; 48(3):150-9. DOI: 10.1007/s00234-005-0030-7. View

20.

Ostergaard L . Principles of cerebral perfusion imaging by bolus tracking. J Magn Reson Imaging. 2005; 22(6):710-7. DOI: 10.1002/jmri.20460. View