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For: Ley S, Ley-Zaporozhan J. Pulmonary perfusion imaging using MRI: clinical application. Insights Imaging 2012;3:61-71. [PMID: 22695999 DOI: 10.1007/s13244-011-0140-1] [Cited by in Crossref: 27] [Cited by in F6Publishing: 23] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Kjørstad Å, Regier M, Fiehler J, Sedlacik J. A decade of lung expansion: A review of ventilation-weighted 1 H lung MRI. Zeitschrift für Medizinische Physik 2017;27:172-9. [DOI: 10.1016/j.zemedi.2016.07.005] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
2 Weis M, Sommer V, Zöllner FG, Hagelstein C, Zahn K, Schaible T, Schoenberg SO, Neff KW. Region of interest-based versus whole-lung segmentation-based approach for MR lung perfusion quantification in 2-year-old children after congenital diaphragmatic hernia repair. Eur Radiol 2016;26:4231-8. [DOI: 10.1007/s00330-016-4330-6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
3 Bauman G, Pusterla O, Bieri O. Ultra-fast Steady-State Free Precession Pulse Sequence for Fourier Decomposition Pulmonary MRI: Ultra-fast SSFP for FD MRI. Magn Reson Med 2016;75:1647-53. [DOI: 10.1002/mrm.25697] [Cited by in Crossref: 21] [Cited by in F6Publishing: 17] [Article Influence: 3.0] [Reference Citation Analysis]
4 Velasco C, Mateo J, Santos A, Mota-Cobian A, Herranz F, Pellico J, Mota RA, España S, Ruiz-Cabello J. Assessment of regional pulmonary blood flow using 68Ga-DOTA PET. EJNMMI Res 2017;7:7. [PMID: 28101850 DOI: 10.1186/s13550-017-0259-2] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
5 Kohlmann P, Strehlow J, Jobst B, Krass S, Kuhnigk JM, Anjorin A, Sedlaczek O, Ley S, Kauczor HU, Wielpütz MO. Automatic lung segmentation method for MRI-based lung perfusion studies of patients with chronic obstructive pulmonary disease. Int J Comput Assist Radiol Surg 2015;10:403-17. [PMID: 24989967 DOI: 10.1007/s11548-014-1090-0] [Cited by in Crossref: 28] [Cited by in F6Publishing: 19] [Article Influence: 3.5] [Reference Citation Analysis]
6 Winther HB, Gutberlet M, Hundt C, Kaireit TF, Alsady TM, Schmidt B, Wacker F, Sun Y, Dettmer S, Maschke SK, Hinrichs JB, Jambawalikar S, Prince MR, Barr RG, Vogel-Claussen J. Deep semantic lung segmentation for tracking potential pulmonary perfusion biomarkers in chronic obstructive pulmonary disease (COPD): The multi-ethnic study of atherosclerosis COPD study. J Magn Reson Imaging 2020;51:571-9. [PMID: 31276264 DOI: 10.1002/jmri.26853] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
7 Weatherley ND, Eaden JA, Hughes PJC, Austin M, Smith L, Bray J, Marshall H, Renshaw S, Bianchi SM, Wild JM. Quantification of pulmonary perfusion in idiopathic pulmonary fibrosis with first pass dynamic contrast-enhanced perfusion MRI. Thorax 2021;76:144-51. [PMID: 33273022 DOI: 10.1136/thoraxjnl-2019-214375] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
8 Velasco C, Mota-cobián A, Mota RA, Pellico J, Herranz F, Galán-arriola C, Ibáñez B, Ruiz-cabello J, Mateo J, España S. Quantitative assessment of myocardial blood flow and extracellular volume fraction using 68Ga-DOTA-PET: A feasibility and validation study in large animals. J Nucl Cardiol 2020;27:1249-60. [DOI: 10.1007/s12350-019-01694-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
9 Bauman G, Bieri O. Matrix pencil decomposition of time-resolved proton MRI for robust and improved assessment of pulmonary ventilation and perfusion. Magn Reson Med. 2017;77:336-342. [PMID: 26757102 DOI: 10.1002/mrm.26096] [Cited by in Crossref: 29] [Cited by in F6Publishing: 24] [Article Influence: 4.8] [Reference Citation Analysis]
10 Johns CS, Swift AJ, Hughes PJ, Ohno Y, Schiebler M, Wild JM. Pulmonary MR angiography and perfusion imaging—A review of methods and applications. European Journal of Radiology 2017;86:361-70. [DOI: 10.1016/j.ejrad.2016.10.003] [Cited by in Crossref: 22] [Cited by in F6Publishing: 16] [Article Influence: 4.4] [Reference Citation Analysis]
11 Hartley R, Baldi S, Brightling C, Gupta S. Novel imaging approaches in adult asthma and their clinical potential. Expert Rev Clin Immunol 2015;11:1147-62. [PMID: 26289375 DOI: 10.1586/1744666X.2015.1072049] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
12 Voskrebenzev A, Vogel-Claussen J. Proton MRI of the Lung: How to Tame Scarce Protons and Fast Signal Decay. J Magn Reson Imaging 2021;53:1344-57. [PMID: 32166832 DOI: 10.1002/jmri.27122] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
13 Aziz M, Krishnam M, Madhuranthakam AJ, Rajiah P. Update on MR imaging of the pulmonary vasculature. Int J Cardiovasc Imaging 2019;35:1483-97. [PMID: 31030315 DOI: 10.1007/s10554-019-01603-y] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
14 Campbell-Washburn AE. 2019 American Thoracic Society BEAR Cage Winning Proposal: Lung Imaging Using High-Performance Low-Field Magnetic Resonance Imaging. Am J Respir Crit Care Med 2020;201:1333-6. [PMID: 32298594 DOI: 10.1164/rccm.201912-2505ED] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
15 Sommer G, Bauman G. [MRI methods for pulmonary ventilation and perfusion imaging]. Radiologe 2016;56:106-12. [PMID: 26814473 DOI: 10.1007/s00117-015-0074-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
16 Bell LC, Wang K, Munoz Del Rio A, Grist TM, Fain SB, Nagle SK. Comparison of models and contrast agents for improved signal and signal linearity in dynamic contrast-enhanced pulmonary magnetic resonance imaging. Invest Radiol 2015;50:174-8. [PMID: 25501016 DOI: 10.1097/RLI.0000000000000122] [Cited by in Crossref: 13] [Cited by in F6Publishing: 3] [Article Influence: 1.9] [Reference Citation Analysis]
17 Alexander M, Mctaggart R, Santarelli J, Fischbein N, Marks M, Zaharchuk G, Do H. Multimodality Evaluation of Dural Arteriovenous Fistula with CT Angiography, MR with Arterial Spin Labeling, and Digital Subtraction Angiography: Case Report: Alexander et al: ASL for dural AVF. J Neuroimaging 2014;24:520-3. [DOI: 10.1111/jon.12032] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
18 Xia Y, Guan Y, Fan L, Liu SY, Yu H, Zhao LM, Li B. Dynamic contrast enhanced magnetic resonance perfusion imaging in high-risk smokers and smoking-related COPD: correlations with pulmonary function tests and quantitative computed tomography. COPD. 2014;11:510-520. [PMID: 25211632 DOI: 10.3109/15412555.2014.948990] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 2.0] [Reference Citation Analysis]
19 Liszewski MC, Hersman FW, Altes TA, Ohno Y, Ciet P, Warfield SK, Lee EY. Magnetic resonance imaging of pediatric lung parenchyma, airways, vasculature, ventilation, and perfusion: state of the art. Radiol Clin North Am 2013;51:555-82. [PMID: 23830786 DOI: 10.1016/j.rcl.2013.04.004] [Cited by in Crossref: 26] [Cited by in F6Publishing: 15] [Article Influence: 2.9] [Reference Citation Analysis]
20 Weidner M, Zöllner FG, Hagelstein C, Zahn K, Schaible T, Schoenberg SO, Schad LR, Neff KW. High temporal versus high spatial resolution in MR quantitative pulmonary perfusion imaging of two-year old children after congenital diaphragmatic hernia repair. Eur Radiol 2014;24:2427-34. [PMID: 25038855 DOI: 10.1007/s00330-014-3304-9] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 1.1] [Reference Citation Analysis]
21 Zöllner FG, Daab M, Weidner M, Sommer V, Zahn K, Schaible T, Weisser G, Schoenberg SO, Neff KW, Schad LR. Semi-automatic lung segmentation of DCE-MRI data sets of 2-year old children after congenital diaphragmatic hernia repair: Initial results. Magnetic Resonance Imaging 2015;33:1345-9. [DOI: 10.1016/j.mri.2015.08.003] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 0.9] [Reference Citation Analysis]
22 Durhan G, Ardali Duzgun S, Akpınar MG, Demirkazık F, Arıyürek OM. Imaging of congenital lung diseases presenting in the adulthood: a pictorial review. Insights Imaging 2021;12:153. [PMID: 34716817 DOI: 10.1186/s13244-021-01095-2] [Reference Citation Analysis]
23 Ohno Y, Koyama H, Lee HY, Miura S, Yoshikawa T, Sugimura K. Contrast-enhanced CT- and MRI-based perfusion assessment for pulmonary diseases: basics and clinical applications. Diagn Interv Radiol 2016;22:407-21. [PMID: 27523813 DOI: 10.5152/dir.2016.16123] [Cited by in Crossref: 17] [Cited by in F6Publishing: 12] [Article Influence: 3.4] [Reference Citation Analysis]
24 Ciet P, Tiddens HA, Wielopolski PA, Wild JM, Lee EY, Morana G, Lequin MH. Magnetic resonance imaging in children: common problems and possible solutions for lung and airways imaging. Pediatr Radiol 2015;45:1901-15. [PMID: 26342643 DOI: 10.1007/s00247-015-3420-y] [Cited by in Crossref: 40] [Cited by in F6Publishing: 29] [Article Influence: 5.7] [Reference Citation Analysis]