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For: Zöllner FG, Weisser G, Reich M, Kaiser S, Schoenberg SO, Sourbron SP, Schad LR. UMMPerfusion: an open source software tool towards quantitative MRI perfusion analysis in clinical routine. J Digit Imaging 2013;26:344-52. [PMID: 22832894 DOI: 10.1007/s10278-012-9510-6] [Cited by in Crossref: 46] [Cited by in F6Publishing: 45] [Article Influence: 5.1] [Reference Citation Analysis]
Number Citing Articles
1 Zöllner FG, Zimmer F, Klotz S, Hoeger S, Schad LR. Functional imaging of acute kidney injury at 3 Tesla: investigating multiple parameters using DCE-MRI and a two-compartment filtration model. Z Med Phys 2015;25:58-65. [PMID: 24629306 DOI: 10.1016/j.zemedi.2014.01.002] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 1.9] [Reference Citation Analysis]
2 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]
3 Zimmer F, Zöllner FG, Hoeger S, Klotz S, Tsagogiorgas C, Krämer BK, Schad LR. Quantitative renal perfusion measurements in a rat model of acute kidney injury at 3T: testing inter- and intramethodical significance of ASL and DCE-MRI. PLoS One 2013;8:e53849. [PMID: 23308289 DOI: 10.1371/journal.pone.0053849] [Cited by in Crossref: 49] [Cited by in F6Publishing: 44] [Article Influence: 5.4] [Reference Citation Analysis]
4 Debus C, Floca R, Ingrisch M, Kompan I, Maier-Hein K, Abdollahi A, Nolden M. MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI. BMC Bioinformatics 2019;20:31. [PMID: 30651067 DOI: 10.1186/s12859-018-2588-1] [Cited by in Crossref: 12] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
5 Starobinets O, Korn N, Iqbal S, Noworolski SM, Zagoria R, Kurhanewicz J, Westphalen AC. Practical aspects of prostate MRI: hardware and software considerations, protocols, and patient preparation. Abdom Radiol (NY) 2016;41:817-30. [PMID: 27193785 DOI: 10.1007/s00261-015-0590-x] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
6 Ingrisch M, Sourbron S. Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer. J Pharmacokinet Pharmacodyn. 2013;40:281-300. [PMID: 23563847 DOI: 10.1007/s10928-013-9315-3] [Cited by in Crossref: 74] [Cited by in F6Publishing: 66] [Article Influence: 8.2] [Reference Citation Analysis]
7 Kassner N, Weis M, Zahn K, Schaible T, Schoenberg SO, Schad LR, Zöllner FG. Histogram based analysis of lung perfusion of children after congenital diaphragmatic hernia repair. Magnetic Resonance Imaging 2018;48:42-9. [DOI: 10.1016/j.mri.2017.11.013] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
8 Wigh Lipsø K, Hansen ESS, Tougaard RS, Laustsen C, Ardenkjaer-larsen JH. Renal MR angiography and perfusion in the pig using hyperpolarized water: Renal MR Angiography and Perfusion in the Pig Using Hyperpolarized Water. Magn Reson Med 2017;78:1131-5. [DOI: 10.1002/mrm.26478] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 2.5] [Reference Citation Analysis]
9 Qi H, Mariager CØ, Nielsen PM, Schroeder M, Lindhardt J, Nørregaard R, Klein JD, Sands JM, Laustsen C. Glucagon infusion alters the hyperpolarized 13 C-urea renal hemodynamic signature. NMR Biomed 2019;32:e4028. [PMID: 30426590 DOI: 10.1002/nbm.4028] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
10 Barnes SR, Ng TS, Santa-Maria N, Montagne A, Zlokovic BV, Jacobs RE. ROCKETSHIP: a flexible and modular software tool for the planning, processing and analysis of dynamic MRI studies. BMC Med Imaging 2015;15:19. [PMID: 26076957 DOI: 10.1186/s12880-015-0062-3] [Cited by in Crossref: 36] [Cited by in F6Publishing: 35] [Article Influence: 5.1] [Reference Citation Analysis]
11 Winter KS, Helck AD, Ingrisch M, Staehler M, Stief C, Sommer WH, Braunagel M, Kazmierczak PM, Reiser MF, Nikolaou K, Notohamiprodjo M. Dynamic contrast-enhanced magnetic resonance imaging assessment of kidney function and renal masses: single slice versus whole organ/tumor. Invest Radiol 2014;49:720-7. [PMID: 24901546 DOI: 10.1097/RLI.0000000000000075] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 1.4] [Reference Citation Analysis]
12 Mariager CØ, Hansen ESS, Bech SK, Munk A, Kjaergaard U, Lyhne MD, Søberg K, Nielsen PF, Ringgaard S, Laustsen C. Graft assessment of the ex vivo perfused porcine kidney using hyperpolarized [1-13 C]pyruvate. Magn Reson Med 2020;84:2645-55. [PMID: 32557782 DOI: 10.1002/mrm.28363] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
13 Smith DS, Li X, Arlinghaus LR, Yankeelov TE, Welch EB. DCEMRI.jl: a fast, validated, open source toolkit for dynamic contrast enhanced MRI analysis. PeerJ 2015;3:e909. [PMID: 25922795 DOI: 10.7717/peerj.909] [Cited by in Crossref: 17] [Cited by in F6Publishing: 12] [Article Influence: 2.4] [Reference Citation Analysis]
14 Mikkelsen EFR, Mariager CØ, Nørlinger T, Qi H, Schulte RF, Jakobsen S, Frøkiær J, Pedersen M, Stødkilde-Jørgensen H, Laustsen C. Hyperpolarized [1-13C]-acetate Renal Metabolic Clearance Rate Mapping. Sci Rep 2017;7:16002. [PMID: 29167446 DOI: 10.1038/s41598-017-15929-x] [Cited by in Crossref: 22] [Cited by in F6Publishing: 22] [Article Influence: 4.4] [Reference Citation Analysis]
15 Østergaard Mariager C, Nielsen PM, Qi H, Schroeder M, Bertelsen LB, Laustsen C. Can Hyperpolarized 13C-Urea be Used to Assess Glomerular Filtration Rate? A Retrospective Study. Tomography 2017;3:146-52. [PMID: 30042978 DOI: 10.18383/j.tom.2017.00010] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 2.6] [Reference Citation Analysis]
16 Lindhardt JL, Nielsen PM, Hansen ESS, Qi H, Tougaard RS, Mariager CØ, Bertelsen LB, Kim WY, Laustsen C. The hemodynamic and metabolic effects of spironolactone treatment in acute kidney injury assessed by hyperpolarized MRI. NMR Biomed 2020;33:e4371. [PMID: 32691467 DOI: 10.1002/nbm.4371] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
17 [DOI: 10.1117/12.2293858] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
18 Riffel P, Zoellner FG, Budjan J, Grimm R, Block TK, Schoenberg SO, Hausmann D. "One-Stop Shop": Free-Breathing Dynamic Contrast-Enhanced Magnetic Resonance Imaging of the Kidney Using Iterative Reconstruction and Continuous Golden-Angle Radial Sampling. Invest Radiol 2016;51:714-9. [PMID: 27299581 DOI: 10.1097/RLI.0000000000000299] [Cited by in Crossref: 23] [Cited by in F6Publishing: 10] [Article Influence: 4.6] [Reference Citation Analysis]
19 Romeo V, Clauser P, Rasul S, Kapetas P, Gibbs P, Baltzer PAT, Hacker M, Woitek R, Helbich TH, Pinker K. AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis. Eur J Nucl Med Mol Imaging 2021. [PMID: 34374796 DOI: 10.1007/s00259-021-05492-z] [Reference Citation Analysis]
20 Jiang K, Ferguson CM, Abumoawad A, Saad A, Textor SC, Lerman LO. A modified two-compartment model for measurement of renal function using dynamic contrast-enhanced computed tomography. PLoS One 2019;14:e0219605. [PMID: 31291361 DOI: 10.1371/journal.pone.0219605] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
21 Zöllner FG, Schock-Kusch D, Bäcker S, Neudecker S, Gretz N, Schad LR. Simultaneous measurement of kidney function by dynamic contrast enhanced MRI and FITC-sinistrin clearance in rats at 3 tesla: initial results. PLoS One 2013;8:e79992. [PMID: 24260332 DOI: 10.1371/journal.pone.0079992] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 2.0] [Reference Citation Analysis]
22 Zöllner FG, Zimmer F, Klotz S, Hoeger S, Schad LR. Renal perfusion in acute kidney injury with DCE-MRI: deconvolution analysis versus two-compartment filtration model. Magn Reson Imaging 2014;32:781-5. [PMID: 24631714 DOI: 10.1016/j.mri.2014.02.014] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 2.3] [Reference Citation Analysis]
23 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]
24 Irrera P, Consolino L, Cutrin JC, Zöllner FG, Longo DL. Dual assessment of kidney perfusion and pH by exploiting a dynamic CEST-MRI approach in an acute kidney ischemia-reperfusion injury murine model. NMR Biomed 2020;33:e4287. [PMID: 32153058 DOI: 10.1002/nbm.4287] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
25 Kern AL, Biller H, Klimeš F, Voskrebenzev A, Gutberlet M, Renne J, Müller M, Holz O, Wacker F, Hohlfeld JM, Vogel-Claussen J. Noninvasive Monitoring of the Response of Human Lungs to Low-Dose Lipopolysaccharide Inhalation Challenge Using MRI: A Feasibility Study. J Magn Reson Imaging 2020;51:1669-76. [PMID: 31729119 DOI: 10.1002/jmri.27000] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
26 Wen Y, Qi H, Østergaard Mariager C, Mose Nielsen P, Bonde Bertelsen L, Stødkilde-Jørgensen H, Laustsen C. Sex Differences in Kidney Function and Metabolism Assessed Using Hyperpolarized [1-13C]Pyruvate Interleaved Spectroscopy and Nonspecific Imaging. Tomography 2020;6:5-13. [PMID: 32280745 DOI: 10.18383/j.tom.2020.00022] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
27 Budjan J, Attenberger UI, Schoenberg SO, Pietsch H, Jost G. The impact of injector-based contrast agent administration in time-resolved MRA. Eur Radiol 2018;28:2246-53. [PMID: 29218620 DOI: 10.1007/s00330-017-5178-0] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
28 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]
29 Attenberger UI, Liu J, Riffel P, Budjan J, Grimm R, Block KT, Schoenberg SO, Wang X, Hausmann D. Quantitative Perfusion Analysis of the Rectum Using Golden-Angle Radial Sparse Parallel Magnetic Resonance Imaging: Initial Experience and Comparison to Time-Resolved Angiography With Interleaved Stochastic Trajectories. Invest Radiol 2017;52:715-24. [PMID: 28622248 DOI: 10.1097/RLI.0000000000000397] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 2.3] [Reference Citation Analysis]
30 Attenberger UI, Pilz LR, Morelli JN, Hausmann D, Doyon F, Hofheinz R, Kienle P, Post S, Michaely HJ, Schoenberg SO, Dinter DJ. Multi-parametric MRI of rectal cancer - do quantitative functional MR measurements correlate with radiologic and pathologic tumor stages? Eur J Radiol. 2014;83:1036-1043. [PMID: 24791649 DOI: 10.1016/j.ejrad.2014.03.012] [Cited by in Crossref: 36] [Cited by in F6Publishing: 39] [Article Influence: 4.5] [Reference Citation Analysis]
31 Irrera P, Consolino L, Dastrù W, Pedersen M, Zöllner FG, Longo DL. Dynamic Contrast Enhanced (DCE) MRI-Derived Renal Perfusion and Filtration: Experimental Protocol. Methods Mol Biol 2021;2216:429-41. [PMID: 33476015 DOI: 10.1007/978-1-0716-0978-1_25] [Reference Citation Analysis]
32 Zöllner FG, Dastrù W, Irrera P, Longo DL, Bennett KM, Beeman SC, Bretthorst GL, Garbow JR. Analysis Protocol for Dynamic Contrast Enhanced (DCE) MRI of Renal Perfusion and Filtration. Methods Mol Biol 2021;2216:637-53. [PMID: 33476028 DOI: 10.1007/978-1-0716-0978-1_38] [Reference Citation Analysis]
33 García Molina JF, Zheng L, Sertdemir M, Dinter DJ, Schönberg S, Rädle M. Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. PLoS One 2014;9:e93600. [PMID: 24699716 DOI: 10.1371/journal.pone.0093600] [Cited by in Crossref: 20] [Cited by in F6Publishing: 13] [Article Influence: 2.5] [Reference Citation Analysis]
34 Kather JN, Weidner A, Attenberger U, Bukschat Y, Weis CA, Weis M, Schad LR, Zöllner FG. Color-coded visualization of magnetic resonance imaging multiparametric maps. Sci Rep 2017;7:41107. [PMID: 28112222 DOI: 10.1038/srep41107] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
35 Cheng JY, Zhang T, Alley MT, Uecker M, Lustig M, Pauly JM, Vasanawala SS. Comprehensive Multi-Dimensional MRI for the Simultaneous Assessment of Cardiopulmonary Anatomy and Physiology. Sci Rep 2017;7:5330. [PMID: 28706270 DOI: 10.1038/s41598-017-04676-8] [Cited by in Crossref: 19] [Cited by in F6Publishing: 16] [Article Influence: 3.8] [Reference Citation Analysis]
36 Harder FN, Budjan J, Nickel MD, Grimm R, Pietsch H, Schoenberg SO, Jost G, Attenberger UI. Intraindividual Comparison of Compressed Sensing-Accelerated Cartesian and Radial Arterial Phase Imaging of the Liver in an Experimental Tumor Model. Invest Radiol 2021;56:433-41. [PMID: 33813577 DOI: 10.1097/RLI.0000000000000767] [Reference Citation Analysis]
37 Weis M, Zoellner FG, Hagelstein C, Schoenberg SO, Zahn K, Schaible T, Neff KW. Lung Perfusion MRI After Congenital Diaphragmatic Hernia Repair in 2-Year-Old Children With and Without Extracorporeal Membrane Oxygenation Therapy. American Journal of Roentgenology 2016;206:1315-20. [DOI: 10.2214/ajr.15.14860] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
38 Beuzit L, Eliat PA, Brun V, Ferré JC, Gandon Y, Bannier E, Saint-Jalmes H. Dynamic contrast-enhanced MRI: Study of inter-software accuracy and reproducibility using simulated and clinical data. J Magn Reson Imaging 2016;43:1288-300. [PMID: 26687041 DOI: 10.1002/jmri.25101] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 3.0] [Reference Citation Analysis]
39 Zöllner FG, Daab M, Sourbron SP, Schad LR, Schoenberg SO, Weisser G. An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited. BMC Med Imaging 2016;16:7. [PMID: 26767969 DOI: 10.1186/s12880-016-0109-0] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 2.7] [Reference Citation Analysis]
40 Gaa T, Neumann W, Sudarski S, Attenberger UI, Schönberg SO, Schad LR, Zöllner FG. Comparison of perfusion models for quantitative T1 weighted DCE-MRI of rectal cancer. Sci Rep 2017;7:12036. [PMID: 28931946 DOI: 10.1038/s41598-017-12194-w] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.8] [Reference Citation Analysis]
41 Zöllner FG, Gaa T, Zimmer F, Ong MM, Riffel P, Hausmann D, Schoenberg SO, Weis M. [Quantitative perfusion imaging in magnetic resonance imaging]. Radiologe 2016;56:113-23. [PMID: 26796337 DOI: 10.1007/s00117-015-0068-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
42 Park YK, Kim JH, Choi SJ, Kim ST, Joo EY. Altered Regional Cerebral Blood Flow Associated with Mood and Sleep in Shift Workers: Cerebral Perfusion Magnetic Resonance Imaging Study. J Clin Neurol 2019;15:438-47. [PMID: 31591830 DOI: 10.3988/jcn.2019.15.4.438] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
43 Sagawa H, Kataoka M, Kanao S, Onishi N, Nickel MD, Toi M, Togashi K. Impact of the Number of Iterations in Compressed Sensing Reconstruction on Ultrafast Dynamic Contrast-enhanced Breast MR Imaging. Magn Reson Med Sci 2019;18:200-7. [PMID: 30416179 DOI: 10.2463/mrms.mp.2018-0015] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 1.8] [Reference Citation Analysis]
44 Bech SK, Qi H, Mariager CØ, Hansen ESS, Ilicak E, Zöllner FG, Laustsen C. The number of glomeruli and pyruvate metabolism is not strongly coupled in the healthy rat kidney. Magn Reson Med 2022;87:896-903. [PMID: 34554602 DOI: 10.1002/mrm.29025] [Reference Citation Analysis]
45 Buergy D, Sertdemir M, Weidner A, Shelan M, Lohr F, Wenz F, Schoenberg SO, Attenberger UI. Detection of Local Recurrence with 3-Tesla MRI After Radical Prostatectomy: A Useful Method for Radiation Treatment Planning? In Vivo 2018;32:125-31. [PMID: 29275309 DOI: 10.21873/invivo.11214] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 0.3] [Reference Citation Analysis]
46 Gordaliza PM, Mateos-Pérez JM, Montesinos P, Guzmán-de-Villoria JA, Desco M, Vaquero JJ. Development and validation of an open source quantification tool for DSC-MRI studies. Comput Biol Med 2015;58:56-62. [PMID: 25618215 DOI: 10.1016/j.compbiomed.2015.01.002] [Cited by in Crossref: 2] [Article Influence: 0.3] [Reference Citation Analysis]
47 Zhang YD, Wu CJ, Zhang J, Wang XN, Liu XS, Shi HB. Feasibility study of high-resolution DCE-MRI for glomerular filtration rate (GFR) measurement in a routine clinical modal. Magn Reson Imaging 2015;33:978-83. [PMID: 26004284 DOI: 10.1016/j.mri.2015.05.005] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]