Research Topics
| Guorong WuSummaryAffiliation: University of North Carolina Country: USA Publications
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Detail Information
Publications
Improving image-guided radiation therapy of lung cancer by reconstructing 4D-CT from a single free-breathing 3D-CT on the treatment dayGuorong Wu
Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
Med Phys 39:7694-709. 2012..In order to solve this problem, our main idea is to reconstruct the 4D-CT (with full range of tumor motion) from a single free-breathing 3D-CT acquired on the treatment day...
Hierarchical attribute-guided symmetric diffeomorphic registration for MR brain imagesGuorong Wu
Department of Radioloy and BRIC, Univerity of North Carolina at Chapel Hill, USA
Med Image Comput Comput Assist Interv 15:90-7. 2012..In all experiments, our registration method achieves the best registration performance, compared to all other state-of-the-art registration methods...- Reconstruction of 4D-CT from a single free-breathing 3D-CT by spatial-temporal image registrationGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA
Inf Process Med Imaging 22:686-98. 2011..Also, we have validated our proposed 4D-CT reconstruction algorithm on the simulated free-breathing data, obtaining very promising 4D-CT reconstruction results... - Registration of longitudinal brain image sequences with implicit template and spatial-temporal heuristicsGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA
Neuroimage 59:404-21. 2012..e., hippocampus volume changes, showing better performance than those obtained by either the pairwise or the groupwise only registration methods... - SharpMean: groupwise registration guided by sharp mean image and tree-based registrationGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA
Neuroimage 56:1968-81. 2011..Our method has been evaluated in both real and simulated datasets. In all experiments, our method outperforms the conventional algorithm which generally produces a fuzzy group mean image throughout the entire groupwise registration... - Groupwise registration by hierarchical anatomical correspondence detectionGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA
Med Image Comput Comput Assist Interv 13:684-91. 2010..In all experiments, our algorithm achieves more robust and accurate registration results, compared to a groupwise registration method and a pairwise registration method, respectively... - Registration of longitudinal image sequences with implicit template and spatial-temporal heuristicsGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA
Med Image Comput Comput Assist Interv 13:618-25. 2010..Promising results are obtained to quantitatively measure the longitudinal changes of hippocampus volume, indicating better performance of our method than the conventional pairwise methods... - Groupwise registration with sharp meanGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA
Med Image Comput Comput Assist Interv 13:570-7. 2010.... - Estimating the 4D respiratory lung motion by spatiotemporal registration and building super-resolution imageGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA
Med Image Comput Comput Assist Interv 14:532-9. 2011..In all experiments, our method achieves more accurate and consistent results in lung motion estimation than all other state-of-the-art approaches... - Attribute vector guided groupwise registrationQian Wang
Department of Computer Science, University of North Carolina at Chapel Hill, USA
Med Image Comput Comput Assist Interv 12:656-63. 2009..Experimental results indicate that our method yields better registration quality, compared with a popular groupwise registration method... - Fast tensor image morphing for elastic registrationPew Thian Yap
Department of Radiology, University of North Carolina at Chapel Hill, NC, USA
Med Image Comput Comput Assist Interv 12:721-9. 2009..Results indicate that better accuracy can be achieved by F-TIMER, compared with other deformable registration algorithms, with significantly reduced computation time cost of 4-14 folds... - A generalized learning based framework for fast brain image registrationMinjeong Kim
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA
Med Image Comput Comput Assist Interv 13:306-14. 2010.... - ABSORB: Atlas Building by Self-organized Registration and BundlingHongjun Jia
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA
Neuroimage 51:1057-70. 2010.... - Directed graph based image registrationHongjun Jia
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA
Comput Med Imaging Graph 36:139-51. 2012..It is shown that our method can achieve more accurate registration results than both the undirected graph based solution and the direct pairwise registration... - A novel framework for longitudinal atlas construction with groupwise registration of subject image sequencesShu Liao
IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC, USA
Neuroimage 59:1275-89. 2012..Experimental results demonstrate that the proposed method consistently achieves higher registration accuracies and more consistent spatial-temporal correspondences than the compared method on both databases... - Groupwise registration based on hierarchical image clustering and atlas synthesisQian Wang
Department of Computer Science, University of North Carolina at Chapel Hill, USA
Hum Brain Mapp 31:1128-40. 2010..We have evaluated our framework using real and simulated data, and the results indicate that our framework achieves better robustness and registration accuracy compared to conventional methods... - Atlas construction via dictionary learning and group sparsityFeng Shi
IDEA Lab, University of North Carolina at Chapel Hill, NC, USA
Med Image Comput Comput Assist Interv 15:247-55. 2012.... 
RABBIT: rapid alignment of brains by building intermediate templatesSongyuan Tang
Department of Radiology, University of North Carolina, Chapel Hill, NC 27510, USA
Neuroimage 47:1277-87. 2009..Compared with HAMMER, the experimental results demonstrate that the proposed algorithm can achieve over five times speedup, with similar registration accuracy and statistical power in detecting brain atrophy...- A general fast registration framework by learning deformation-appearance correlationMinjeong Kim
Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
IEEE Trans Image Process 21:1823-33. 2012.... - A novel longitudinal atlas construction framework by groupwise registration of subject image sequencesShu Liao
Department of Radiology, Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA
Inf Process Med Imaging 22:283-95. 2011..Experimental results show that the proposed method achieves more consistent spatial-temporal correspondence as well as higher registration accuracy than the compared method... - F-TIMER: fast tensor image morphing for elastic registrationPew Thian Yap
Department of Radiology and Biomedical Research Imaging Center BRIC, University of North Carolina, Chapel Hill, NC 27599, USA
IEEE Trans Med Imaging 29:1192-203. 2010..Compared with its predecessor TIMER, which has been shown to outperform state-of-the-art algorithms, experimental results indicate that F-TIMER is capable of achieving comparable accuracy at only a fraction of the computation cost... - A statistical framework for inter-group image registrationShu Liao
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Neuroinformatics 10:367-78. 2012..Experimental results show that the proposed method consistently achieves higher registration accuracy than the method under comparison... - TPS-HAMMER: improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolationGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA
Neuroimage 49:2225-33. 2010..The results show that TPS-HAMMER yields significant improvement in both accuracy and speed, indicating high applicability for the clinical scenario... - Fiber modeling and clustering based on neuroanatomical featuresQian Wang
Department of Computer Science, University of North Carolina at Chapel Hill, USA
Med Image Comput Comput Assist Interv 14:17-24. 2011..Experimental results indicate that the proposed method groups the fibers into anatomically meaningful bundles, which are highly consistent across subjects... - Confidence-guided sequential label fusion for multi-atlas based segmentationDaoqiang Zhang
Dept of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599
Med Image Comput Comput Assist Interv 14:643-50. 2011..e., majority voting and local weighted voting. Experimental results show that our sequential label fusion method can consistently improve the performance of both algorithms in terms of segmentation/labeling accuracy... - aBEAT: A Toolbox for Consistent Analysis of Longitudinal Adult Brain MRIYakang Dai
IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China
PLoS ONE 8:e60344. 2013..A Linux-based standalone package of aBEAT is now freely available at http://www.nitrc.org/projects/abeat... - Hierarchical alignment of breast DCE-MR images by groupwise registration and robust feature matchingMinjeong Kim
Department of Radiology and BRIC, University of North Carolina, Chapel Hill, North Carolina 27599, USA
Med Phys 39:353-66. 2012..In this paper, the authors present a novel hierarchical registration framework to address this problem... - Intermediate templates guided groupwise registration of diffusion tensor imagesHongjun Jia
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA
Neuroimage 54:928-39. 2011.... - TIMER: tensor image morphing for elastic registrationPew Thian Yap
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC, USA
Neuroimage 47:549-63. 2009..Experiments involving real subjects, simulated subjects, fiber tracking, and atrophy detection indicate that TIMER performs better than the other methods (Yang et al., 2008; Zhang et al., 2006)... - Attribute vector guided groupwise registrationQian Wang
Department of Computer Science, University of North Carolina at Chapel Hill, NC 27599, USA
Neuroimage 50:1485-96. 2010..The experimental results demonstrate that our method yields better registration accuracy, compared with a popular groupwise registration method... - Infant brain atlases from neonates to 1- and 2-year-oldsFeng Shi
IDEA Lab, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
PLoS ONE 6:e18746. 2011..The reason may be largely due to the dramatic early brain development, image processing difficulties, and the need of a large sample size... - Consistent reconstruction of cortical surfaces from longitudinal brain MR imagesGang Li
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC, USA
Neuroimage 59:3805-20. 2012..Meanwhile, the longitudinal cortical thickness also shows its potential in distinguishing different clinical groups... - Feature-based groupwise registration by hierarchical anatomical correspondence detectionGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, North Carolina 27599, USA
Hum Brain Mapp 33:253-71. 2012..In all experiments, our algorithm achieves more robust and accurate registration results, compared with another groupwise algorithm and a pairwise registration method... - Diffusion tensor image registration with combined tract and tensor featuresQian Wang
Department of Computer Science, University of North Carolina at Chapel Hill, USA
Med Image Comput Comput Assist Interv 14:200-8. 2011..Experimental results indicate that this framework yields marked improvement over DT image registration using volumetric information alone... - iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image ProcessingYakang Dai
IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill, MRI Building, CB 7513, 130 Mason Farm Road, Chapel Hill, NC, 27599, USA
Neuroinformatics 11:211-25. 2013..The performance of iBEAT has been comprehensively evaluated with hundreds of infant brain images. A Linux-based standalone package of iBEAT is freely available at http://www.nitrc.org/projects/ibeat ... - Estimating the 4D respiratory lung motion by spatiotemporal registration and super-resolution image reconstructionGuorong Wu
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599
Med Phys 40:031710. 2013..Promising results have been obtained, which indicates the high applicability of our method in clinical lung cancer radiation therapy... - Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network featuresYang Li
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA
Neurobiol Aging 33:427.e15-30. 2012..Although the smell identification test is not performed in ADNI, this finding is consistent with other AD-related olfactory studies...