To test the feasibility of brain perfusion imaging exploiting flow-related enhancement during fast gradient echo sequences. Imaging was performed using Fast Low-Angle Shot (FLASH) and balanced steady-state free precession (bSSFP) sequences of a single axial slice with various imaging parameters at 1.5T and 3T. Perfusion-weighted maps were generated based on the Fourier decomposition method “Phase-REsolved FUnctional Lung” (PREFUL) MRI. The derived imaging protocol was evaluated in patients with metastases and a stroke showing high spatial overlap to post-contrast MRI and CT-perfusion. A cohort of 19 healthy individuals presented moderate, but significant regional correlation and high spatial Dice overlap to pCASL-MRI.
1. Wang H, Naghavi M, Allen C, et al. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016;388:1459–1544 doi: 10.1016/S0140-6736(16)31012-1.
2. Johnson CO, Nguyen M, Roth GA, et al. Global, regional, and national burden of stroke, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18:439–458 doi: 10.1016/S1474-4422(19)30034-1.
3. Ntaios G, Bornstein NM, Caso V, et al. The European Stroke Organisation Guidelines: A standard operating procedure. Int. J. Stroke 2015;10:128–135 doi: 10.1111/ijs.12583.
4. Powers WJ, Rabinstein AA, Ackerson T, et al. Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke a guideline for healthcare professionals from the American Heart Association/American Stroke A.; 2019. doi: 10.1161/STR.0000000000000211.
5. Eilaghi A, Yeung T, d’Esterre C, et al. Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images. Biomark. Cancer 2016;8s2:BIC.S31801 doi: 10.4137/bic.s31801.
6. Fussell D, Young RJ. Role of MRI perfusion in improving the treatment of brain tumors. Imaging Med. 2013;5:407–426 doi: 10.2217/iim.13.50.
7. Haller S, Zaharchuk G, Thomas DL, Lovblad K-OO, Barkhof F, Golay X. Arterial spin labeling perfusion of the brain: Emerging clinical applications. Radiology 2016;281:337–356 doi: 10.1148/radiol.2016150789.
8. Voskrebenzev A, Gutberlet M, Klimeš F, et al. Feasibility of quantitative regional ventilation and perfusion mapping with phase‐resolved functional lung (PREFUL) MRI in healthy volunteers and COPD, CTEPH, and CF patients. Magn. Reson. Med. 2018;79:2306–2314 doi: 10.1002/mrm.26893.
9. Bauman G, Puderbach M, Deimling M, et al. Non-contrast-enhanced perfusion and ventilation assessment of the human lung by means of Fourier decomposition in proton MRI. Magn. Reson. Med. 2009;62:656–664 doi: 10.1002/mrm.22031.
10. Kaireit TF, Voskrebenzev A, Gutberlet M, et al. Comparison of quantitative regional perfusion-weighted phase resolved functional lung (PREFUL) MRI with dynamic gadolinium-enhanced regional pulmonary perfusion MRI in COPD patients. J. Magn. Reson. Imaging 2019;49:1122–1132 doi: 10.1002/jmri.26342.
11. Behrendt L, Voskrebenzev A, Klimeš F, et al. Validation of Automated Perfusion-Weighted Phase-Resolved Functional Lung (PREFUL)-MRI in Patients With Pulmonary Diseases. J. Magn. Reson. Imaging 2019:1–12 doi: 10.1002/jmri.27027.
12. Pöhler GH, Klimes F, Voskrebenzev A, et al. Chronic Thromboembolic Pulmonary Hypertension Perioperative Monitoring Using Phase‐Resolved Functional Lung (PREFUL)‐MRI. J. Magn. Reson. Imaging 2020;52:610–619 doi: 10.1002/jmri.27097.
13. Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC. A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 2011;54:2033–2044 doi: 10.1016/j.neuroimage.2010.09.025.
14. Schroeder DJ, Inc EI. Astronomical Optics. Elsevier Science; 2000.
15. Bushberg JT, Seibert JA, Leidholdt EM, Boone JM, Goldschmidt EJ. The Essential Physics of Medical Imaging. Med. Phys. 2003;30:1936–1936 doi: 10.1118/1.1585033.
16. Lüders E, Steinmetz H, Jäncke L. Brain size and grey matter volume in the healthy human brain. Neuroreport 2002;13:2371–4 doi: 10.1097/01.wnr.0000049603.85580.da.
17. Markl M, Alley MT, Elkins CJ, Pelc NJ. Flow effects in balanced steady state free precession imaging. Magn. Reson. Med. 2003;50:892–903 doi: 10.1002/mrm.10631.
18. Arakawa S, Wright PM, Koga M, et al. Ischemic Thresholds for Gray and White Matter. Stroke 2006;37:1211–1216 doi: 10.1161/01.STR.0000217258.63925.6b.
19. LEENDERS KL, PERANI D, LAMMERTSMA AA, et al. CEREBRAL BLOOD FLOW, BLOOD VOLUME AND OXYGEN UTILIZATION. Brain 1990;113:27–47 doi: 10.1093/brain/113.1.27.
20. Jakimovski D, Bergsland N, Dwyer MG, et al. Cortical and Deep Gray Matter Perfusion Associations With Physical and Cognitive Performance in Multiple Sclerosis Patients. Front. Neurol. 2020;11:1–9 doi: 10.3389/fneur.2020.00700.
21. Parkes LM, Rashid W, Chard DT, Tofts PS. Normal cerebral perfusion measurements using arterial spin labeling: Reproducibility, stability, and age and gender effects. Magn. Reson. Med. 2004;51:736–743 doi: 10.1002/mrm.20023.