Local lung tissue expansion analysis based on inverse consistent image registration

Recommended Citation Cao, Kunlin. "Local lung tissue expansion analysis based on inverse consistent image registration." MS (Master of Science) thesis, Department for providing data and valuable suggestions for this work. I would also like to thank Prof. Xiaodong Wu and other faculty, staff and students at the IIBI for many informative seminars and lectures.

[1]  Tinsu Pan,et al.  Dynamic ventilation imaging from four-dimensional computed tomography , 2006, Physics in medicine and biology.

[2]  Guy Marchal,et al.  Automated multi-moda lity image registration based on information theory , 1995 .

[3]  Brett A. Simon,et al.  Non-Invasive Imaging of Regional Lung Function using X-Ray Computed Tomography , 2004, Journal of Clinical Monitoring and Computing.

[4]  Imran A. Pirwani,et al.  Introduction to the Non-rigid Image Registration Evaluation Project (NIREP) , 2006, WBIR.

[5]  Michael I. Miller,et al.  Volumetric transformation of brain anatomy , 1997, IEEE Transactions on Medical Imaging.

[6]  Thomas Guerrero,et al.  Quantification of regional ventilation from treatment planning CT. , 2005, International journal of radiation oncology, biology, physics.

[7]  B. Simon,et al.  Distribution of pulmonary ventilation using Xe-enhanced computed tomography in prone and supine dogs. , 2001, Journal of applied physiology.

[8]  Eric A. Hoffman,et al.  Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation , 2008, Medical Image Anal..

[9]  Gary E. Christensen,et al.  Consistent landmark and intensity-based image registration , 2002, IEEE Transactions on Medical Imaging.

[10]  Gary E. Christensen,et al.  Consistent Linear-Elastic Transformations for Image Matching , 1999, IPMI.

[11]  R. Rabbitt,et al.  3D brain mapping using a deformable neuroanatomy. , 1994, Physics in medicine and biology.

[12]  B. Avants,et al.  Quantitative Comparison of Registration-Based Lung Motion Estimates from Whole-Lung MR Images and Corresponding Two-Dimensional Slices , 2008 .

[13]  Eric A Hoffman,et al.  Subsecond multisection CT of regional pulmonary ventilation. , 2002, Academic radiology.

[14]  Yali Amit,et al.  A Nonlinear Variational Problem for Image Matching , 1994, SIAM J. Sci. Comput..

[15]  Gary E. Christensen,et al.  Consistent image registration , 2001, IEEE Transactions on Medical Imaging.

[16]  David R. Haynor,et al.  PET-CT image registration in the chest using free-form deformations , 2003, IEEE Transactions on Medical Imaging.

[17]  S. Lele,et al.  Parameter estimation and confidence intervals for Xe-CT ventilation studies: a Monte Carlo approach. , 1998, Journal of applied physiology.

[18]  James C. Gee,et al.  Towards a model of lung biomechanics: pulmonary kinematics via registration of serial lung images , 2005, Medical Image Anal..

[19]  Gary E. Christensen,et al.  Invertibility and transitivity analysis for nonrigid image registration , 2003, J. Electronic Imaging.

[20]  Eric A. Hoffman,et al.  Differences in regional wash-in and wash-out time constants for xenon-CT ventilation studies , 2005, Respiratory Physiology & Neurobiology.

[21]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.

[22]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[23]  Paul A. Viola,et al.  Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..

[24]  Wei Lu,et al.  Tracking lung tissue motion and expansion/compression with inverse consistent image registration and spirometry. , 2007, Medical physics.

[25]  Guy Marchal,et al.  Automated multi-modality image registration based on information theory , 1995 .