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Cited by in F6Publishing
For: Rauh SS, Riexinger AJ, Ohlmeyer S, Hammon M, Saake M, Stemmer A, Uder M, Hensel B, Laun FB. A mixed waveform protocol for reduction of the cardiac motion artifact in black-blood diffusion-weighted imaging of the liver. Magn Reson Imaging 2020;67:59-68. [PMID: 31923466 DOI: 10.1016/j.mri.2019.12.011] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 McTavish S, Van AT, Peeters JM, Weiss K, Makowski MR, Braren RF, Karampinos DC. Motion compensated renal diffusion weighted imaging. Magn Reson Med 2022. [PMID: 36098347 DOI: 10.1002/mrm.29433] [Reference Citation Analysis]
2 Führes T, Saake M, Lorenz J, Seuss H, Stemmer A, Benkert T, Uder M, Laun FB. Reduction of the cardiac pulsation artifact and improvement of lesion conspicuity in flow‐compensated diffusion images in the liver—A quantitative evaluation of postprocessing algorithms. Magnetic Resonance in Med. [DOI: 10.1002/mrm.29427] [Reference Citation Analysis]
3 Simchick G, Hernando D. Precision of region of interest-based tri-exponential intravoxel incoherent motion quantification and the role of the Intervoxel spatial distribution of flow velocities. Magn Reson Med 2022. [PMID: 35968580 DOI: 10.1002/mrm.29406] [Reference Citation Analysis]
4 Simchick G, Geng R, Zhang Y, Hernando D. b value and first-order motion moment optimized data acquisition for repeatable quantitative intravoxel incoherent motion DWI. Magn Reson Med 2022. [PMID: 35092092 DOI: 10.1002/mrm.29165] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Hernando D, Zhang Y, Pirasteh A. Quantitative diffusion MRI of the abdomen and pelvis. Med Phys 2021. [PMID: 34554579 DOI: 10.1002/mp.15246] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
6 Führes T, Riexinger AJ, Loh M, Martin J, Wetscherek A, Kuder TA, Uder M, Hensel B, Laun FB. Echo time dependence of biexponential and triexponential intravoxel incoherent motion parameters in the liver. Magn Reson Med 2021. [PMID: 34453445 DOI: 10.1002/mrm.28996] [Reference Citation Analysis]
7 Saake M, Seuß H, Riexinger A, Bickelhaupt S, Hammon M, Uder M, Laun FB. Image Quality and Detection of Small Focal Liver Lesions in Diffusion-Weighted Imaging: Comparison of Navigator Tracking and Free-Breathing Acquisition. Invest Radiol 2021;56:579-90. [PMID: 33813572 DOI: 10.1097/RLI.0000000000000776] [Reference Citation Analysis]
8 Riexinger A, Martin J, Wetscherek A, Kuder TA, Uder M, Hensel B, Laun FB. An optimized b-value distribution for triexponential intravoxel incoherent motion (IVIM) in the liver. Magn Reson Med 2021;85:2095-108. [PMID: 33201549 DOI: 10.1002/mrm.28582] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
9 Riexinger A, Laun FB, Bickelhaupt S, Seuß H, Uder M, Hensel B, Saake M. On the dependence of the cardiac motion artifact on the breathing cycle in liver diffusion-weighted imaging. PLoS One 2020;15:e0239743. [PMID: 33002028 DOI: 10.1371/journal.pone.0239743] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
10 Brunsing RL, Fowler KJ, Yokoo T, Cunha GM, Sirlin CB, Marks RM. Alternative approach of hepatocellular carcinoma surveillance: abbreviated MRI. Hepatoma Res 2020;6:59. [PMID: 33381651 DOI: 10.20517/2394-5079.2020.50] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
11 Shen J, Xue L, Zhong Y, Wu YL, Zhang W, Yu TF. Feasibility of using dynamic contrast-enhanced MRI for differentiating thymic carcinoma from thymic lymphoma based on semi-quantitative and quantitative models. Clin Radiol 2020;75:560.e19-25. [PMID: 32197918 DOI: 10.1016/j.crad.2020.02.010] [Reference Citation Analysis]