Motion correction in diffusion‐weighted MRI of the breast at 3T

To provide a quantitative assessment of motion and distortion correction of diffusion‐weighted images (DWIs) of the breast and to evaluate the effects of registration on the mean apparent diffusion coefficient (mADC).

[1]  James R. Moore,et al.  Correction for distortion of echo‐planar images used to calculate the apparent diffusion coefficient , 1996, Magnetic resonance in medicine.

[2]  Bing Ma,et al.  Voxel-by-Voxel Functional Diffusion Mapping for Early Evaluation of Breast Cancer Treatment , 2009, IPMI.

[3]  Ning-Yu An,et al.  Differentiation of clinically benign and malignant breast lesions using diffusion‐weighted imaging , 2002, Journal of magnetic resonance imaging : JMRI.

[4]  Thomas Netsch,et al.  Quantitative evaluation of image-based distortion correction in diffusion tensor imaging , 2004, IEEE Transactions on Medical Imaging.

[5]  Derek K. Jones,et al.  The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study † , 2004, Magnetic resonance in medicine.

[6]  Thierry Metens,et al.  Quantitative diffusion imaging in breast cancer: A clinical prospective study , 2006, Journal of magnetic resonance imaging : JMRI.

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

[8]  Thomas E Yankeelov,et al.  Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. , 2007, Magnetic resonance imaging.

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

[10]  D. Hanahan,et al.  The Hallmarks of Cancer , 2000, Cell.

[11]  T. Takahara,et al.  Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display. , 2004, Radiation medicine.

[12]  J C Gore,et al.  Effects of cell volume fraction changes on apparent diffusion in human cells. , 2000, Magnetic resonance imaging.

[13]  P. Basser,et al.  Comprehensive approach for correction of motion and distortion in diffusion‐weighted MRI , 2004, Magnetic resonance in medicine.

[14]  Stefan Skare,et al.  A Model-Based Method for Retrospective Correction of Geometric Distortions in Diffusion-Weighted EPI , 2002, NeuroImage.

[15]  R. Gillies,et al.  Early increases in breast tumor xenograft water mobility in response to paclitaxel therapy detected by non-invasive diffusion magnetic resonance imaging. , 1999, Neoplasia.

[16]  Bradford A Moffat,et al.  Prospective Early Response Imaging Biomarker for Neoadjuvant Breast Cancer Chemotherapy , 2007, Clinical Cancer Research.

[17]  Peter R. Luijten,et al.  Diffusion-weighted whole-body imaging with background body signal suppression (DWIBS): features and potential applications in oncology , 2008, European Radiology.

[18]  N G Papadakis,et al.  Gradient preemphasis calibration in diffusion‐weighted echo‐planar imaging , 2000, Magnetic resonance in medicine.

[19]  A. Song,et al.  Optimized isotropic diffusion weighting , 1995, Magnetic resonance in medicine.

[20]  K. Katahira,et al.  Whole-body diffusion-weighted magnetic resonance imaging. , 2009, European journal of radiology.

[21]  Masahiko Watanabe,et al.  Diffusion-Weighted Imaging of Malignant Breast Tumors: The Usefulness of Apparent Diffusion Coefficient (ADC) Value and ADC Map for the Detection of Malignant Breast Tumors and Evaluation of Cancer Extension , 2005, Journal of computer assisted tomography.

[22]  Mark E Bastin,et al.  A quantitative comparison of two methods to correct eddy current-induced distortions in DT-MRI. , 2007, Magnetic resonance imaging.

[23]  Jürgen Weese,et al.  Grey-value-based 3D registration of functional MRI time-series: comparison of interpolation order and similarity measure , 2000, Medical Imaging: Image Processing.

[24]  E. Akbudak,et al.  Encoding of anisotropic diffusion with tetrahedral gradients: A general mathematical diffusion formalism and experimental results , 1996, Magnetic resonance in medicine.

[25]  P. Mansfield,et al.  Active magnetic screening of gradient coils in NMR imaging , 1986 .

[26]  Usha Sinha,et al.  In vivo diffusion‐weighted MRI of the breast: Potential for lesion characterization , 2002, Journal of magnetic resonance imaging : JMRI.

[27]  M. Espié,et al.  [Diffusion-weighted MR imaging of the breast]. , 2010, Journal de radiologie.

[28]  Naobumi Yashiro,et al.  Diffusion-Weighted Half-Fourier Single-Shot Turbo Spin Echo Imaging in Breast Tumors: Differentiation of Invasive Ductal Carcinoma from Fibroadenoma , 2002, Journal of computer assisted tomography.

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

[30]  Masanori Ozaki,et al.  ADC mapping of benign and malignant breast tumors. , 2005, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[31]  Peter Gibbs,et al.  Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. , 2006, Magnetic resonance imaging.

[32]  Karl Pearson F.R.S..  LIII. On lines and planes of closest fit to systems of points in space , 1901 .

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

[34]  Isabelle Bloch,et al.  Distortion correction and robust tensor estimation for MR diffusion imaging , 2002, Medical Image Anal..

[35]  Wendy B DeMartini,et al.  Differential diagnosis of mammographically and clinically occult breast lesions on diffusion‐weighted MRI , 2010, Journal of magnetic resonance imaging : JMRI.