Super-resolution T2-weighted 4D MRI for image guided radiotherapy
暂无分享,去创建一个
Martin O. Leach | David J. Collins | Uwe Oelfke | Jamie R. McClelland | Simeon Nill | Joshua N. Freedman | Oliver J. Gurney-Champion | Andreas Wetscherek | J. McClelland | S. Nill | D. Collins | U. Oelfke | M. Leach | O. Gurney-Champion | A. Wetscherek | Joshua N Freedman
[1] B. Fallone,et al. The rotating biplanar linac-magnetic resonance imaging system. , 2014, Seminars in radiation oncology.
[2] M van Herk,et al. Reconstruction of a time-averaged midposition CT scan for radiotherapy planning of lung cancer patients using deformable registration. , 2008, Medical physics.
[3] Sasa Mutic,et al. The ViewRay system: magnetic resonance-guided and controlled radiotherapy. , 2014, Seminars in radiation oncology.
[4] Bjorn Stemkens,et al. 4D MR imaging using robust internal respiratory signal , 2016, Physics in medicine and biology.
[5] Fang-Fang Yin,et al. T2-weighted four dimensional magnetic resonance imaging with result-driven phase sorting. , 2015, Medical physics.
[6] Suresh Senan,et al. Color intensity projections: a rapid approach for evaluating four-dimensional CT scans in treatment planning. , 2006, International journal of radiation oncology, biology, physics.
[7] Bjorn Stemkens,et al. Image-driven, model-based 3D abdominal motion estimation for MR-guided radiotherapy , 2016, Physics in medicine and biology.
[8] Tom Vercauteren,et al. Diffeomorphic demons: Efficient non-parametric image registration , 2009, NeuroImage.
[9] Joseph O Deasy,et al. Direct Comparison of Respiration-Correlated Four-Dimensional Magnetic Resonance Imaging Reconstructed Using Concurrent Internal Navigator and External Bellows. , 2017, International journal of radiation oncology, biology, physics.
[10] Sébastien Ourselin,et al. Fast free-form deformation using graphics processing units , 2010, Comput. Methods Programs Biomed..
[11] Joseph O Deasy,et al. Novel Super-Resolution Approach to Time-Resolved Volumetric 4-Dimensional Magnetic Resonance Imaging With High Spatiotemporal Resolution for Multi-Breathing Cycle Motion Assessment. , 2017, International journal of radiation oncology, biology, physics.
[12] Paul J Keall,et al. An analysis of thoracic and abdominal tumour motion for stereotactic body radiotherapy patients , 2008, Physics in medicine and biology.
[13] Erik Tryggestad,et al. Respiration-based sorting of dynamic MRI to derive representative 4D-MRI for radiotherapy planning. , 2013, Medical physics.
[14] Dow-Mu Koh,et al. P2.05-042 Development of Thoracic Magnetic Resonance Imaging (MRI) for Radiotherapy Planning: Topic: RT Techniques , 2017 .
[15] Joachim Hornegger,et al. Self-gated MRI motion modeling for respiratory motion compensation in integrated PET/MRI , 2015, Medical Image Anal..
[16] Cher Heng Tan,et al. Isotropic reconstruction of a 4‐D MRI thoracic sequence using super‐resolution , 2015, Magnetic resonance in medicine.
[17] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[18] T Schaeffter,et al. Thoracic respiratory motion estimation from MRI using a statistical model and a 2-D image navigator , 2012, Medical Image Anal..
[19] Thorsten Heußer,et al. 4D respiratory motion‐compensated image reconstruction of free‐breathing radial MR data with very high undersampling , 2017, Magnetic resonance in medicine.
[20] Mary A. Rutherford,et al. Reconstruction of fetal brain MRI with intensity matching and complete outlier removal , 2012, Medical Image Anal..
[21] B. Stemkens,et al. Towards fast online intrafraction replanning for free-breathing stereotactic body radiation therapy with the MR-linac , 2017, Physics in medicine and biology.
[22] Maria A Schmidt,et al. Radiotherapy planning using MRI , 2015, Physics in medicine and biology.
[23] Paul J. Keall,et al. Observations on MR-LINAC systems and rationale for MR-Linac use: The australian MR-Linac project as an example , 2014 .
[24] Nikolai J Mickevicius,et al. Investigation of undersampling and reconstruction algorithm dependence on respiratory correlated 4D-MRI for online MR-guided radiation therapy , 2017, Physics in medicine and biology.
[25] Ken-Pin Hwang,et al. Spatial Precision in Magnetic Resonance Imaging-Guided Radiation Therapy: The Role of Geometric Distortion. , 2016, International journal of radiation oncology, biology, physics.
[26] Fang-Fang Yin,et al. Investigation of sagittal image acquisition for 4D-MRI with body area as respiratory surrogate. , 2014, Medical physics.
[27] Gina Brown,et al. Potential of surface-coil MRI for staging of esophageal cancer. , 2006, AJR. American journal of roentgenology.
[28] Michal Irani,et al. Improving resolution by image registration , 1991, CVGIP Graph. Model. Image Process..
[29] Jan J W Lagendijk,et al. MR guidance in radiotherapy , 2014, Physics in medicine and biology.
[30] Fang-Fang Yin,et al. Four-dimensional magnetic resonance imaging (4D-MRI) using image-based respiratory surrogate: a feasibility study. , 2011, Medical physics.
[31] Tanja Alderliesten,et al. PO-0881: 4DMRI for RT planning; novel precise amplitude binning in the presence of irregular breathing , 2017 .
[32] Rob H N Tijssen,et al. Magnetic resonance imaging in precision radiation therapy for lung cancer. , 2017, Translational lung cancer research.
[33] Martin O Leach,et al. A complete distortion correction for MR images: I. Gradient warp correction , 2005, Physics in medicine and biology.
[34] J G M Kok,et al. Integrating a 1.5 T MRI scanner with a 6 MV accelerator: proof of concept , 2009, Physics in medicine and biology.
[35] Martin O. Leach,et al. T2-Weighted 4D Magnetic Resonance Imaging for Application in Magnetic Resonance–Guided Radiotherapy Treatment Planning , 2017, Investigative radiology.
[36] Sasa Mutic,et al. Respiratory amplitude guided 4-dimensional magnetic resonance imaging. , 2013, International journal of radiation oncology, biology, physics.
[37] Jan-Jakob Sonke,et al. Comparison of different strategies to use four-dimensional computed tomography in treatment planning for lung cancer patients. , 2008, International journal of radiation oncology, biology, physics.
[38] Marco Riboldi,et al. Liver 4DMRI: A retrospective image-based sorting method. , 2015, Medical physics.
[39] Cher Heng Tan,et al. Deformable Registration-Based Super-resolution for Isotropic Reconstruction of 4-D MRI Volumes , 2017, IEEE Journal of Biomedical and Health Informatics.
[40] Fang-Fang Yin,et al. Four dimensional magnetic resonance imaging with retrospective k-space reordering: a feasibility study. , 2015, Medical physics.
[41] Eric Van Reeth,et al. Super-resolution in magnetic resonance imaging: A review , 2012 .