Kheram N, Bessen M, Jones C, Davies B, Kotter M, Farshad M
Brain Spine. 2025; 5:104211.
PMID: 40041396
PMC: 11879606.
DOI: 10.1016/j.bas.2025.104211.
Muccio M, Sun Z, Chu D, Damadian B, Minkoff L, Bonanni L
Front Aging Neurosci. 2024; 16:1454282.
PMID: 39582951
PMC: 11582045.
DOI: 10.3389/fnagi.2024.1454282.
Prasuhn J, Xu J, Hua J, van Zijl P, Knutsson L
Front Psychiatry. 2024; 15:1368489.
PMID: 38651012
PMC: 11033437.
DOI: 10.3389/fpsyt.2024.1368489.
Deshpande R, Langham M, Lee H, Kamona N, Wehrli F
Magn Reson Med. 2023; 91(5):2057-2073.
PMID: 38146669
PMC: 10950521.
DOI: 10.1002/mrm.29981.
Hanekop G, Kollmeier J, Frahm J, Iwanowski I, Khabbazzadeh S, Kutschka I
J Extra Corpor Technol. 2023; 55(2):70-81.
PMID: 37378439
PMC: 10304939.
DOI: 10.1051/ject/2023015.
Uncorrelated Lithium-Ion Hopping in a Dynamic Solvent-Anion Network.
Yu D, Troya D, Korovich A, Bostwick J, Colby R, Madsen L
ACS Energy Lett. 2023; 8(4):1944-1951.
PMID: 37090169
PMC: 10112391.
DOI: 10.1021/acsenergylett.3c00454.
Superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep.
Caporale A, Barclay A, Xu J, Rao H, Lee H, Langham M
J Cereb Blood Flow Metab. 2023; 43(8):1340-1350.
PMID: 36927172
PMC: 10369151.
DOI: 10.1177/0271678X231164423.
Cardiac MR: From Theory to Practice.
Ismail T, Strugnell W, Coletti C, Bozic-Iven M, Weingartner S, Hammernik K
Front Cardiovasc Med. 2022; 9:826283.
PMID: 35310962
PMC: 8927633.
DOI: 10.3389/fcvm.2022.826283.
Clinical Application of 4D Flow MR Imaging to Pulmonary Hypertension.
Ota H, Kamada H, Higuchi S, Takase K
Magn Reson Med Sci. 2022; 21(2):309-318.
PMID: 35185084
PMC: 9680544.
DOI: 10.2463/mrms.rev.2021-0111.
Measuring Arterial Pulsatility With Dynamic Inflow Magnitude Contrast.
Whittaker J, Fasano F, Venzi M, Liebig P, Gallichan D, Moller H
Front Neurosci. 2022; 15:795749.
PMID: 35110991
PMC: 8802674.
DOI: 10.3389/fnins.2021.795749.
In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI.
Berberoglu E, Stoeck C, Moireau P, Kozerke S, Genet M
PLoS One. 2021; 16(11):e0258965.
PMID: 34739495
PMC: 8570486.
DOI: 10.1371/journal.pone.0258965.
Assessment of single-vessel cerebral blood velocity by phase contrast fMRI.
Chen X, Jiang Y, Choi S, Pohmann R, Scheffler K, Kleinfeld D
PLoS Biol. 2021; 19(9):e3000923.
PMID: 34499636
PMC: 8454982.
DOI: 10.1371/journal.pbio.3000923.
Clinical intra-cardiac 4D flow CMR: acquisition, analysis, and clinical applications.
Demirkiran A, van Ooij P, Westenberg J, Hofman M, van Assen H, Schoonmade L
Eur Heart J Cardiovasc Imaging. 2021; 23(2):154-165.
PMID: 34143872
PMC: 8787996.
DOI: 10.1093/ehjci/jeab112.
Quantifying MRI relaxation in flowing blood: implications for arterial input function measurement in DCE-MRI.
Gwilliam M, Collins D, Leach M, Orton M
Br J Radiol. 2021; 94(1119):20191004.
PMID: 33507818
PMC: 8011233.
DOI: 10.1259/bjr.20191004.
Inter- and Intra-Rater Reliability of Individual Cerebral Blood Flow Measured by Quantitative Vessel-Flow Phase-Contrast MRI.
Chang K, Lee Y, Chen C, Lin M, Lin Y, Chen J
J Clin Med. 2020; 9(10).
PMID: 32992892
PMC: 7601288.
DOI: 10.3390/jcm9103099.
4D flow MRI for non-invasive measurement of blood flow in the brain: A systematic review.
Morgan A, Thrippleton M, Wardlaw J, Marshall I
J Cereb Blood Flow Metab. 2020; 41(2):206-218.
PMID: 32936731
PMC: 8369999.
DOI: 10.1177/0271678X20952014.
Measurement in opaque flows: a review of measurement techniques for dispersed multiphase flows.
Poelma C
Acta Mech. 2020; 231(6):2089-2111.
PMID: 32549583
PMC: 7271021.
DOI: 10.1007/s00707-020-02683-x.
Quantitative and Dynamic MRI Measures of Peripheral Vascular Function.
Englund E, Langham M
Front Physiol. 2020; 11:120.
PMID: 32184733
PMC: 7058683.
DOI: 10.3389/fphys.2020.00120.
Dynamic quantitative nonenhanced magnetic resonance angiography of the abdominal aorta and lower extremities using cine fast interrupted steady-state in combination with arterial spin labeling: a feasibility study.
Aherne E, Koktzoglou I, Lind B, Edelman R
J Cardiovasc Magn Reson. 2019; 21(1):55.
PMID: 31474219
PMC: 6717984.
DOI: 10.1186/s12968-019-0562-3.
Validation of a mathematical model for understanding intracranial pressure curve morphology.
Unnerback M, Ottesen J, Reinstrup P
J Clin Monit Comput. 2019; 34(3):469-481.
PMID: 31264130
PMC: 7205852.
DOI: 10.1007/s10877-019-00342-8.