A gradient feature weighted Minimax algorithm for registration of multiple portal images to 3DCT volumes in prostate radiotherapy.
暂无分享,去创建一个
Ravi Bansal | Ravinder Nath | Sudhakar Chelikani | Kailasnath Purushothaman | James Duncan | J. Duncan | Zhe Chen | J. Knisely | R. Bansal | R. Nath | Zhe Chen | K. Purushothaman | Jonathan Knisely | S. Chelikani
[1] J. Leong,et al. Implementation of random positioning error in computerised radiation treatment planning systems as a result of fractionation. , 1987, Physics in medicine and biology.
[2] M Goitein,et al. Implementation of a model for estimating tumor control probability for an inhomogeneously irradiated tumor. , 1993, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[3] Zhe Chen,et al. A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy , 1998, MICCAI.
[4] Max A. Viergever,et al. Image registration by maximization of combined mutual information and gradient information , 2000, IEEE Transactions on Medical Imaging.
[5] D. R. Fish,et al. A patient-to-computed-tomography image registration method based on digitally reconstructed radiographs. , 1994, Medical physics.
[6] Colin Studholme,et al. An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..
[7] G T Chen,et al. A comparison of four patient immobilization devices in the treatment of prostate cancer patients with three dimensional conformal radiotherapy. , 1996, International journal of radiation oncology, biology, physics.
[8] Nicholas Ayache,et al. Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information , 2001, IEEE Transactions on Medical Imaging.
[9] J H Hendry,et al. A realistic closed-form radiobiological model of clinical tumor-control data incorporating intertumor heterogeneity. , 1998, International journal of radiation oncology, biology, physics.
[10] J Knisely,et al. A minimax entropy registration framework for patient setup verification in radiotherapy. , 1999, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.
[11] A Boxwala,et al. Core-based portal image registration for automatic radiotherapy treatment verification. , 1995, International journal of radiation oncology, biology, physics.
[12] Sayan Mukherjee,et al. Support Vector Method for Multivariate Density Estimation , 1999, NIPS.
[13] A. Izenman. Review Papers: Recent Developments in Nonparametric Density Estimation , 1991 .
[14] J C Stroom,et al. Internal organ motion in prostate cancer patients treated in prone and supine treatment position. , 1999, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[15] A. Izenman. Recent Developments in Nonparametric Density Estimation , 1991 .
[16] M van Herk,et al. Automatic on-line inspection of patient setup in radiation therapy using digital portal images. , 1993, Medical physics.
[17] J. Lyman. Complication Probability as Assessed from Dose-Volume Histograms , 1985 .
[18] Guido Gerig,et al. Motion Measurements in Low-Contrast X-ray Imagery , 1998, MICCAI.
[19] Paul A. Viola,et al. Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.
[20] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] James S. Duncan,et al. Support Vector Machine Density Estimator as a Generalized Parzen Windows Estimator for Mutual Information based Image Registration , 2003, MICCAI.
[22] Joos V Lebesque,et al. Inclusion of geometric uncertainties in treatment plan evaluation. , 2002, International journal of radiation oncology, biology, physics.
[23] K W Leszczynski,et al. An image registration scheme applied to verification of radiation therapy. , 1998, The British journal of radiology.
[24] J. Adler,et al. CyberKnife Radiotherapy for Localized Prostate Cancer: Rationale and Technical Feasibility , 2003, Technology in cancer research & treatment.
[25] M van Herk,et al. Quantification of organ motion during conformal radiotherapy of the prostate by three dimensional image registration. , 1995, International journal of radiation oncology, biology, physics.
[26] L. Beckett,et al. Survival and cell cycle kinetics of human prostate cancer cell lines after single- and multifraction exposures to ionizing radiation. , 2004, International journal of radiation oncology, biology, physics.
[27] G T Chen,et al. Correlation of projection radiographs in radiation therapy using open curve segments and points. , 1992, Medical physics.
[28] C. Ling,et al. Analysis of biopsy outcome after three-dimensional conformal radiation therapy of prostate cancer using dose-distribution variables and tumor control probability models. , 2000, International journal of radiation oncology, biology, physics.
[29] A. Hanlon,et al. The relationship of increasing radiotherapy dose to reduced distant metastases and mortality in men with prostate cancer , 2004, Cancer.
[30] D. Dearnaley,et al. Comparison of radiation side-effects of conformal and conventional radiotherapy in prostate cancer: a randomised trial , 1999, The Lancet.
[31] G Hilt,et al. Preprocessing of control portal images for patient setup verification during the treatments in external radiotherapy. , 1999, Medical physics.
[32] B G Fallone,et al. A grey-level image alignment algorithm for registration of portal images and digitally reconstructed radiographs. , 1996, Medical physics.
[33] M van Herk,et al. Automatic three-dimensional inspection of patient setup in radiation therapy using portal images, simulator images, and computed tomography data. , 1996, Medical physics.
[34] Serge Miguet,et al. Patient setup error measurement using 3D intensity-based image registration techniques. , 2003, International journal of radiation oncology, biology, physics.
[35] A L Boyer,et al. An image correlation procedure for digitally reconstructed radiographs and electronic portal images. , 1995, International journal of radiation oncology, biology, physics.
[36] Zhe Chen,et al. Entropy-based dual-portal-to-3-DCT registration incorporating pixel correlation , 2003, IEEE Transactions on Medical Imaging.
[37] Cristian Lorenz,et al. 2D/3D registration of pre-operative CT images and intra-operative X-ray projections for image guided surgery , 1997 .
[38] Frans Vos,et al. An evaluation of ridge extraction methods for portal imaging , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[39] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.