Influence of image registration on apparent diffusion coefficient images computed from free‐breathing diffusion MR images of the abdomen

To evaluate the influence of image registration on apparent diffusion coefficient (ADC) images obtained from abdominal free‐breathing diffusion‐weighted MR images (DW‐MRIs).

[1]  D. Collins,et al.  Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. , 2011, AJR. American journal of roentgenology.

[2]  Savannah C Partridge,et al.  Diffusion tensor magnetic resonance imaging of the normal breast. , 2010, Magnetic resonance imaging.

[3]  Harsh Kandpal,et al.  Respiratory-triggered versus breath-hold diffusion-weighted MRI of liver lesions: comparison of image quality and apparent diffusion coefficient values. , 2009, AJR. American journal of roentgenology.

[4]  Jan Sijbers,et al.  Maximum-likelihood estimation of Rician distribution parameters , 1998, IEEE Transactions on Medical Imaging.

[5]  Michael Unser,et al.  Optimization of mutual information for multiresolution image registration , 2000, IEEE Trans. Image Process..

[6]  Thomas E Yankeelov,et al.  Motion correction in diffusion‐weighted MRI of the breast at 3T , 2011, Journal of magnetic resonance imaging : JMRI.

[7]  Shreyas S Vasanawala,et al.  Abdominal MR imaging in children: motion compensation, sequence optimization, and protocol organization. , 2013, Radiographics : a review publication of the Radiological Society of North America, Inc.

[8]  C. Ganter,et al.  Characterization of focal liver lesions by ADC measurements using a respiratory triggered diffusion-weighted single-shot echo-planar MR imaging technique , 2008, European Radiology.

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

[10]  Wiro J. Niessen,et al.  Image registration improves human knee cartilage T1 mapping with delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) , 2012, European Radiology.

[11]  Martin O. Leach,et al.  Comparison of free‐breathing with navigator‐controlled acquisition regimes in abdominal diffusion‐weighted magnetic resonance images: Effect on ADC and IVIM statistics , 2014, Journal of magnetic resonance imaging : JMRI.

[12]  Joseph O Deasy,et al.  Motion correction of multi-b-value diffusion-weighted imaging in the liver. , 2012, Academic radiology.

[13]  P. Grenier,et al.  MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. , 1986, Radiology.

[14]  Denis Le Bihan,et al.  Intravoxel incoherent motion perfusion MR imaging: a wake-up call. , 2008, Radiology.

[15]  B. Taouli,et al.  Diffusion-weighted MR imaging of the liver. , 2010, Radiology.

[16]  Erik Morre Pedersen,et al.  Quantitative liver ADC measurements using diffusion-weighted MRI at 3 Tesla: evaluation of reproducibility and perfusion dependence using different techniques for respiratory compensation , 2013, Magnetic Resonance Materials in Physics, Biology and Medicine.

[17]  Dow-Mu Koh,et al.  Practical aspects of assessing tumors using clinical diffusion-weighted imaging in the body. , 2007, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[18]  D. Le Bihan,et al.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. , 1988, Radiology.

[19]  Max A. Viergever,et al.  elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.

[20]  Wendy B DeMartini,et al.  Diffusion tensor MRI: Preliminary anisotropy measures and mapping of breast tumors , 2010, Journal of magnetic resonance imaging : JMRI.

[21]  Matthew A Bernstein,et al.  CHAPTER 11 – SIGNAL ACQUISITION AND K-SPACE SAMPLING , 2004 .

[22]  Peter R Luijten,et al.  Comparison and reproducibility of ADC measurements in breathhold, respiratory triggered, and free‐breathing diffusion‐weighted MR imaging of the liver , 2008, Journal of magnetic resonance imaging : JMRI.

[23]  P. Choyke,et al.  Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. , 2009, Neoplasia.

[24]  Tetsuo Ogino,et al.  Diffusion‐weighted MR imaging of the liver at 3.0 Tesla using TRacking Only Navigator echo (TRON): A feasibility study , 2009, Journal of magnetic resonance imaging : JMRI.

[25]  Max A. Viergever,et al.  Adaptive Stochastic Gradient Descent Optimisation for Image Registration , 2009, International Journal of Computer Vision.

[26]  Jian Xu,et al.  Diffusion‐weighted imaging of the liver: Comparison of navigator triggered and breathhold acquisitions , 2009, Journal of magnetic resonance imaging : JMRI.

[27]  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.

[28]  D. Collins,et al.  Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases , 2013, European Radiology.

[29]  Denis Le Bihan,et al.  Intravoxel incoherent motion perfusion MR imaging: a wake-up call. , 2008 .

[30]  D Sarrut,et al.  Registration of sliding objects using direction dependent B-splines decomposition , 2013, Physics in medicine and biology.

[31]  M. Oudkerk,et al.  Effects of microperfusion in hepatic diffusion weighted imaging , 2011, European Radiology.

[32]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[33]  Luis Ibáñez,et al.  The ITK Software Guide , 2005 .

[34]  Paul Suetens,et al.  Construction of a Brain Template from MR Images Using State-of-the-Art Registration and Segmentation Techniques , 2004, MICCAI.