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

To enhance image quality of flow‐compensated diffusion‐weighted liver MRI data by increasing the lesion conspicuity and reducing the cardiac pulsation artifact using postprocessing algorithms.

[1]  M. Uder,et al.  Flow-compensated diffusion encoding in MRI for improved liver metastasis detection , 2022, PloS one.

[2]  R. Braren,et al.  Gradient nonlinearity correction in liver DWI using motion-compensated diffusion encoding waveforms , 2021, Magnetic Resonance Materials in Physics, Biology and Medicine.

[3]  Carl-Fredrik Westin,et al.  Motion‐compensated gradient waveforms for tensor‐valued diffusion encoding by constrained numerical optimization , 2020, Magnetic resonance in medicine.

[4]  M. Uder,et al.  On the dependence of the cardiac motion artifact on the breathing cycle in liver diffusion-weighted imaging , 2020, PloS one.

[5]  Daniel B Ennis,et al.  Optimization methods for magnetic resonance imaging gradient waveform design , 2020, NMR in biomedicine.

[6]  M. Uder,et al.  A mixed waveform protocol for reduction of the cardiac motion artifact in black-blood diffusion-weighted imaging of the liver. , 2020, Magnetic resonance imaging.

[7]  Joel Nothman,et al.  SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python , 2019, ArXiv.

[8]  D. Hernando,et al.  Motion‐robust and blood‐suppressed M1‐optimized diffusion MR imaging of the liver , 2019, Magnetic resonance in medicine.

[9]  U. Motosugi,et al.  Improving the Quality of Diffusion-weighted Imaging of the Left Hepatic Lobe Using Weighted Averaging of Signals from Multiple Excitations , 2018, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[10]  Xu Yan,et al.  Evaluation of Regional Variability and Measurement Reproducibility of Intravoxel Incoherent Motion Diffusion Weighted Imaging Using a Cardiac Stationary Phase Based ECG Trigger Method , 2018, BioMed research international.

[11]  J. Bruix,et al.  Diagnosis and staging of hepatocellular carcinoma (HCC): current guidelines. , 2018, European journal of radiology.

[12]  F. Caseiro-Alves,et al.  Liver MRI: From basic protocol to advanced techniques. , 2017, European journal of radiology.

[13]  M. Ladd,et al.  Temperature and concentration calibration of aqueous polyvinylpyrrolidone (PVP) solutions for isotropic diffusion MRI phantoms , 2017, PloS one.

[14]  Jelle Veraart,et al.  In vivo measurement of membrane permeability and myofiber size in human muscle using time‐dependent diffusion tensor imaging and the random permeable barrier model , 2017, NMR in biomedicine.

[15]  Holden H. Wu,et al.  Convex optimized diffusion encoding (CODE) gradient waveforms for minimum echo time and bulk motion–compensated diffusion‐weighted MRI , 2017, Magnetic resonance in medicine.

[16]  Stamatios N. Sotiropoulos,et al.  Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images , 2016, NeuroImage.

[17]  T. Metens,et al.  Liver apparent diffusion coefficient repeatability with individually predetermined optimal cardiac timing and artifact elimination by signal filtering , 2016, Journal of magnetic resonance imaging : JMRI.

[18]  Markus Nilsson,et al.  Quantification of microcirculatory parameters by joint analysis of flow‐compensated and non‐flow‐compensated intravoxel incoherent motion (IVIM) data , 2016, NMR in biomedicine.

[19]  Bram Stieltjes,et al.  Flow‐compensated intravoxel incoherent motion diffusion imaging , 2015, Magnetic resonance in medicine.

[20]  Jan Sijbers,et al.  Iterative reweighted linear least squares for accurate, fast, and robust estimation of diffusion magnetic resonance parameters , 2015, Magnetic resonance in medicine.

[21]  Maxime Descoteaux,et al.  Dipy, a library for the analysis of diffusion MRI data , 2014, Front. Neuroinform..

[22]  T. Miyati,et al.  Motion artifact reduction of diffusion‐weighted MRI of the liver: Use of velocity‐compensated diffusion gradients combined with tetrahedral gradients , 2013, Journal of magnetic resonance imaging : JMRI.

[23]  Stephen E. Rose,et al.  HOMOR: Higher Order Model Outlier Rejection for high b-value MR diffusion data , 2012, NeuroImage.

[24]  Carlo Pierpaoli,et al.  Informed RESTORE: A method for robust estimation of diffusion tensor from low redundancy datasets in the presence of physiological noise artifacts , 2012, Magnetic resonance in medicine.

[25]  Mark Bydder,et al.  Cardiac motion in diffusion‐weighted MRI of the liver: artifact and a method of correction , 2012, Journal of magnetic resonance imaging : JMRI.

[26]  A. Qayyum.  Diffusion-weighted imaging in the abdomen and pelvis: concepts and applications. , 2009, Radiographics : a review publication of the Radiological Society of North America, Inc.

[27]  Peter R. Luijten,et al.  Influence of cardiac motion on diffusion-weighted magnetic resonance imaging of the liver , 2009, Magnetic Resonance Materials in Physics, Biology and Medicine.

[28]  E. Hecht,et al.  Focal liver lesion detection and characterization with diffusion-weighted MR imaging: comparison with standard breath-hold T2-weighted imaging. , 2008, Radiology.

[29]  Denis S. Grebenkov,et al.  NMR survey of reflected brownian motion , 2007 .

[30]  D. Collins,et al.  Diffusion-weighted MRI in the body: applications and challenges in oncology. , 2007, AJR. American journal of roentgenology.

[31]  S. Nawano,et al.  Hepatic metastases: diffusion-weighted sensitivity-encoding versus SPIO-enhanced MR imaging. , 2006, Radiology.

[32]  Prabhakar Raghavan,et al.  A Linear Method for Deviation Detection in Large Databases , 1996, KDD.

[33]  L. Salford,et al.  Use of an Enhanced Gradient System for Diffusion MR Imaging with Motion-Artifact Reduction , 1995, Acta radiologica.

[34]  K Sakurai,et al.  Separation of diffusion and slow flow effects by use of flow rephasing and dephasing , 1992, Magnetic resonance in medicine.

[35]  G. Johnson,et al.  In vivo measurement of proton diffusion in the presence of coherent motion. , 1991, Investigative radiology.

[36]  J R MacFall,et al.  The use of gradient flow compensation to separate diffusion and microcirculatory flow in MRI , 1991, Magnetic resonance in medicine.

[37]  Skipper Seabold,et al.  Statsmodels: Econometric and Statistical Modeling with Python , 2010, SciPy.