Hui Xue

Summary

Affiliation: Siemens Medical Solutions
Country: USA

Publications

  1. ncbi Phase-sensitive inversion recovery for myocardial T1 mapping with motion correction and parametric fitting
    Hui Xue
    Siemens Corporation, Corporate Research, Princeton, New Jersey, USA
    Magn Reson Med 69:1408-20. 2013
  2. ncbi Motion correction for myocardial T1 mapping using image registration with synthetic image estimation
    Hui Xue
    Siemens Corporate Research, Princeton, New Jersey, USA
    Magn Reson Med 67:1644-55. 2012
  3. ncbi Motion correction for myocardial T1 mapping using image registration with synthetic image estimation
    Hui Xue
    Siemens Corporate Research, Princeton, New Jersey, USA
    Magn Reson Med 67:spcone. 2012
  4. ncbi Unsupervised inline analysis of cardiac perfusion MRI
    Hui Xue
    Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, USA
    Med Image Comput Comput Assist Interv 12:741-9. 2009
  5. ncbi Motion compensated magnetic resonance reconstruction using inverse-consistent deformable registration: application to real-time cine imaging
    Hui Xue
    Imaging Analytics and Informatics, Siemens Corporate Research, Princeton, NJ, USA
    Med Image Comput Comput Assist Interv 14:564-72. 2011
  6. ncbi Combining registration and minimum surfaces for the segmentation of the left ventricle in cardiac cine MR images
    Marie Pierre Jolly
    Siemens Corporate Research, Imaging and Visualization Department Princeton, NJ, USA
    Med Image Comput Comput Assist Interv 12:910-8. 2009
  7. ncbi Evaluation of rigid and non-rigid motion compensation of cardiac perfusion MRI
    Hui Xue
    Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, USA
    Med Image Comput Comput Assist Interv 11:35-43. 2008

Detail Information

Publications7

  1. ncbi Phase-sensitive inversion recovery for myocardial T1 mapping with motion correction and parametric fitting
    Hui Xue
    Siemens Corporation, Corporate Research, Princeton, New Jersey, USA
    Magn Reson Med 69:1408-20. 2013
    ..Compared to the magnitude T1 fitting, the proposed phase-sensitive method leads to less fluctuation in T1 estimates. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc...
  2. ncbi Motion correction for myocardial T1 mapping using image registration with synthetic image estimation
    Hui Xue
    Siemens Corporate Research, Princeton, New Jersey, USA
    Magn Reson Med 67:1644-55. 2012
    ....
  3. ncbi Motion correction for myocardial T1 mapping using image registration with synthetic image estimation
    Hui Xue
    Siemens Corporate Research, Princeton, New Jersey, USA
    Magn Reson Med 67:spcone. 2012
    ..Right column: Sharp myocardial boundary is recovered after motion correction using proposed technique. These images were from three different patients from the article by Xue et al (pp 1644-1655)...
  4. ncbi Unsupervised inline analysis of cardiac perfusion MRI
    Hui Xue
    Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, USA
    Med Image Comput Comput Assist Interv 12:741-9. 2009
    ..The entire processing chain has been implemented on clinical MR systems to achieve unsupervised inline analysis of perfusion MRI. Validation results are reported for 260 perfusion time series, demonstrating feasibility of the approach...
  5. ncbi Motion compensated magnetic resonance reconstruction using inverse-consistent deformable registration: application to real-time cine imaging
    Hui Xue
    Imaging Analytics and Informatics, Siemens Corporate Research, Princeton, NJ, USA
    Med Image Comput Comput Assist Interv 14:564-72. 2011
    ..We further extend this framework for multi-coil motion compensated image reconstruction using the eigen-mode analysis. Both simulations and in vivo studies demonstrate the effectiveness of our approach...
  6. ncbi Combining registration and minimum surfaces for the segmentation of the left ventricle in cardiac cine MR images
    Marie Pierre Jolly
    Siemens Corporate Research, Imaging and Visualization Department Princeton, NJ, USA
    Med Image Comput Comput Assist Interv 12:910-8. 2009
    ..We demonstrate using 19 patient examples that the results are very good. The RMS distance between ground truth and our segmentation is only 1.6 pixels (2.7 mm) and the Dice coefficient is 0.89...
  7. ncbi Evaluation of rigid and non-rigid motion compensation of cardiac perfusion MRI
    Hui Xue
    Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, USA
    Med Image Comput Comput Assist Interv 11:35-43. 2008
    ....