Pseudo-CT Generated Through Multi-Metric Image Registration and Atlas Fusion (Application to T1-Weighted Brain MRI)
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Wafa Boukellouz | Abdelouahab Moussaoui | Abdelmalik Taleb-Ahmed | A. Taleb-Ahmed | A. Moussaoui | Wafa Boukellouz
[1] Steve Webb,et al. Radiotherapy treatment planning of prostate cancer using magnetic resonance imaging alone. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[2] H. Zaidi,et al. Magnetic resonance imaging-guided attenuation and scatter corrections in three-dimensional brain positron emission tomography. , 2003, Medical physics.
[3] R Calandrino,et al. An automatic contour propagation method to follow parotid gland deformation during head-and-neck cancer tomotherapy , 2011, Physics in medicine and biology.
[4] Juha Korhonen,et al. Dosimetric characterization of MRI-only treatment planning for brain tumors in atlas-based pseudo-CT images generated from standard T1-weighted MR images. , 2016, Medical physics.
[5] J. Lagendijk,et al. Contour propagation in MRI-guided radiotherapy treatment of cervical cancer: the accuracy of rigid, non-rigid and semi-automatic registrations , 2009, Physics in medicine and biology.
[6] Kenneth Ulin,et al. Results of a multi-institutional benchmark test for cranial CT/MR image registration. , 2010, International journal of radiation oncology, biology, physics.
[7] Mohammad Reza Ay,et al. A novel segmentation approach for implementation of MRAC in head PET/MRI employing Short-TE MRI and 2-point Dixon method in a fuzzy C-means framework , 2014 .
[8] Yaoqin Xie,et al. Auto-propagation of contours for adaptive prostate radiation therapy , 2008, Physics in medicine and biology.
[9] Max A. Viergever,et al. elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.
[10] D. Rueckert,et al. Medical Image Registration , 2010 .
[11] H. Kjer,et al. A voxel-based investigation for MRI-only radiotherapy of the brain using ultra short echo times , 2014, Physics in medicine and biology.
[12] Qianjin Feng,et al. Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination , 2015, MICCAI.
[13] Michael Unser,et al. Optimization of mutual information for multiresolution image registration , 2000, IEEE Trans. Image Process..
[14] Ninon Burgos,et al. Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies , 2014, IEEE Transactions on Medical Imaging.
[15] W. T. Dixon. Simple proton spectroscopic imaging. , 1984, Radiology.
[16] Melanie Traughber,et al. Generation of brain pseudo-CTs using an undersampled, single-acquisition UTE-mDixon pulse sequence and unsupervised clustering. , 2015, Medical physics.
[17] Max A. Viergever,et al. A survey of medical image registration , 1998, Medical Image Anal..
[18] Jan Flusser,et al. Image registration methods: a survey , 2003, Image Vis. Comput..
[19] Jinsoo Uh,et al. MRI-based treatment planning with pseudo CT generated through atlas registration. , 2014, Medical physics.
[20] Giovanna Rizzo,et al. Target delineation in post-operative radiotherapy of brain gliomas: interobserver variability and impact of image registration of MR(pre-operative) images on treatment planning CT scans. , 2005, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[21] Jerry L Prince,et al. PET Attenuation Correction Using Synthetic CT from Ultrashort Echo-Time MR Imaging , 2014, The Journal of Nuclear Medicine.
[22] Alan Pollack,et al. MRI-based treatment planning for radiotherapy: dosimetric verification for prostate IMRT. , 2004, International journal of radiation oncology, biology, physics.
[23] Tufve Nyholm,et al. Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions , 2010, Radiation oncology.
[24] Daniel Rueckert,et al. Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy , 2009, NeuroImage.
[25] Arne Skretting,et al. A simulation of MRI based dose calculations on the basis of radiotherapy planning CT images , 2008, Acta oncologica.
[26] Hamidreza Saligheh Rad,et al. Generation of a Four-Class Attenuation Map for MRI-Based Attenuation Correction of PET Data in the Head Area Using a Novel Combination of STE/Dixon-MRI and FCM Clustering , 2015, Molecular Imaging and Biology.
[27] Mary Feng,et al. Investigation of a method for generating synthetic CT models from MRI scans of the head and neck for radiation therapy , 2013, Physics in medicine and biology.
[28] Hans Knutsson,et al. Morphons: segmentation using elastic canvas and paint on priors , 2005, IEEE International Conference on Image Processing 2005.
[29] Alexander Hammers,et al. Evaluation of several multi-atlas methods for PSEUDO-CT generation in brain MRI-PET attenuation correction , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
[30] D Forsberg,et al. Generating patient specific pseudo-CT of the head from MR using atlas-based regression , 2015, Physics in medicine and biology.
[31] Tufve Nyholm,et al. Systematisation of spatial uncertainties for comparison between a MR and a CT-based radiotherapy workflow for prostate treatments , 2009, Radiation oncology.
[32] Bernhard Schölkopf,et al. MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration , 2008, Journal of Nuclear Medicine.
[33] Jan Modersitzki,et al. Numerical Methods for Image Registration , 2004 .
[34] Simon R. Arridge,et al. A survey of hierarchical non-linear medical image registration , 1999, Pattern Recognit..
[35] Lisa M. Brown,et al. A survey of image registration techniques , 1992, CSUR.
[36] Olivier Salvado,et al. MRI-guided prostate radiation therapy planning: Investigation of dosimetric accuracy of MRI-based dose planning. , 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[37] Lei Xing,et al. A unifying probabilistic Bayesian approach to derive electron density from MRI for radiation therapy treatment planning , 2014, Physics in medicine and biology.
[38] Snehashis Roy,et al. MR to CT registration of brains using image synthesis , 2014, Medical Imaging.
[39] G H Glover,et al. Three‐point dixon technique for true water/fat decomposition with B0 inhomogeneity correction , 1991, Magnetic resonance in medicine.
[40] J. Edmund,et al. Patch-based generation of a pseudo CT from conventional MRI sequences for MRI-only radiotherapy of the brain. , 2015, Medical physics.
[41] Slobodan Devic,et al. MRI simulation for radiotherapy treatment planning. , 2012, Medical physics.
[42] C. Kuhl,et al. MRI-Based Attenuation Correction for Hybrid PET/MRI Systems: A 4-Class Tissue Segmentation Technique Using a Combined Ultrashort-Echo-Time/Dixon MRI Sequence , 2012, The Journal of Nuclear Medicine.
[43] Maria Thor,et al. Deformable image registration for contour propagation from CT to cone-beam CT scans in radiotherapy of prostate cancer , 2011, Acta oncologica.
[44] Maximilien Vermandel,et al. MRI alone simulation for conformal radiation therapy of prostate cancer: technical aspects , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[45] Ludvig Paul Muren,et al. Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration , 2010, Acta oncologica.
[46] A W Beavis,et al. Radiotherapy treatment planning of brain tumours using MRI alone. , 1998, The British journal of radiology.