D-CT Lung Registration and its Application for Lung Radiation Therapy 2012

[1]  Gerald Farin,et al.  Geometric modeling : algorithms and new trends , 1987 .

[2]  Yugang Min,et al.  A GPU-based framework for modeling real-time 3D lung tumor conformal dosimetry with subject-specific lung tumor motion. , 2010, Physics in medicine and biology.

[3]  Cristian Lorenz,et al.  4DCT image-based lung motion field extraction and analysis , 2008, SPIE Medical Imaging.

[4]  Li Fan,et al.  3D warping and registration from lung images , 1999, Medical Imaging.

[5]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[6]  James S. Duncan,et al.  Rigid point feature registration using mutual information , 1999, Medical Image Anal..

[7]  Anna Hilsmann,et al.  Deformable 4DCT lung registration with vessel bifurcations , 2007 .

[8]  K. Kinzler,et al.  The Genetic Basis of Human Cancer , 1997 .

[9]  Patrick A Kupelian,et al.  Observations on real-time prostate gland motion using electromagnetic tracking. , 2008, International journal of radiation oncology, biology, physics.

[10]  Geoffrey McLennan,et al.  Estimation of regional lung expansion via 3D image registration , 2005, SPIE Medical Imaging.

[11]  J J Battista,et al.  Generation of photon energy deposition kernels using the EGS Monte Carlo code. , 1988, Physics in medicine and biology.

[12]  Margrit Betke,et al.  Landmark detection in the chest and registration of lung surfaces with an application to nodule registration , 2003, Medical Image Anal..

[13]  Margrit Betke,et al.  Automatic 3D Registration of Lung Surfaces in Computed Tomography Scans , 2001, MICCAI.

[14]  Markus Hadwiger,et al.  Real-time volume graphics , 2006, SIGGRAPH '04.

[15]  Cancer Facts & Figures 2021 , 2010 .

[16]  Benoît Ozell,et al.  TH‐D‐BRD‐02: Convolution‐Superposition Dose Calculations with GPUs , 2009 .

[17]  E. Mok,et al.  A photon dose distribution model employing convolution calculations. , 1985, Medical physics.

[18]  Gary E. Christensen,et al.  Landmark and Intensity-Based, Consistent Thin-Plate Spline Image Registration , 2001, IPMI.

[19]  L. Tanoue.  Computed Tomography — An Increasing Source of Radiation Exposure , 2009 .

[20]  R L Siddon,et al.  Calculation of the radiological depth. , 1985, Medical physics.

[21]  Thomas Ertl,et al.  Accelerating 3D convolution using graphics hardware , 1999, Proceedings Visualization '99 (Cat. No.99CB37067).

[22]  Sasa Mutic,et al.  Technical note: DIRART--A software suite for deformable image registration and adaptive radiotherapy research. , 2011, Medical physics.

[23]  A. Boyer,et al.  Fast Fourier transform convolution calculations of x-ray isodose distributions in homogeneous media. , 1989, Medical physics.

[24]  J. McClelland,et al.  A continuous 4D motion model from multiple respiratory cycles for use in lung radiotherapy. , 2006, Medical physics.

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

[26]  Deshan Yang,et al.  A fast inverse consistent deformable image registration method based on symmetric optical flow computation , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[27]  D. Hawkes,et al.  Modelling Respiratory Motion for Optimisation of Lung Cancer Radiotherapy Using Fast MR Imaging and Intensity-Based Image Registration , 2004 .

[28]  John B. West,et al.  Respiratory Physiology - the Essentials , 1979 .

[29]  Geoffrey G. Zhang,et al.  Intrathoracic tumour motion estimation from CT imaging using the 3D optical flow method. , 2004, Physics in medicine and biology.

[30]  Shinichi Shimizu,et al.  Intrafractional tumor motion: lung and liver. , 2004, Seminars in radiation oncology.

[31]  B. Aggarwal,et al.  Cancer is a Preventable Disease that Requires Major Lifestyle Changes , 2008, Pharmaceutical Research.

[32]  R. Jeraj,et al.  Treatment plan optimization incorporating respiratory motion. , 2004, Medical physics.

[33]  Geoffrey G. Zhang,et al.  Use of three‐dimensional (3D) optical flow method in mapping 3D anatomic structure and tumor contours across four‐dimensional computed tomography data , 2008, Journal of applied clinical medical physics.

[34]  Jannick P. Rolland,et al.  Four-Dimensional Computed Tomography Lung Registration Methods , 2011 .

[35]  D. Makuc,et al.  Health, United States, 2010; with special feature on death and dying , 2011 .

[36]  J. Battista,et al.  A convolution method of calculating dose for 15-MV x rays. , 1985, Medical physics.

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

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

[39]  F. Mastik,et al.  A study of coronary artery rotational motion with dense scale-space optical flow in intravascular ultrasound , 2009, Physics in medicine and biology.

[40]  N Papanikolaou,et al.  Investigation of the convolution method for polyenergetic spectra. , 1993, Medical physics.

[41]  Patrick A Kupelian,et al.  Modeling simulation and visualization of conformal 3D lung tumor dosimetry , 2009, Physics in medicine and biology.

[42]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.