MRI-based treatment plan simulation and adaptation for ion radiotherapy using a classification-based approach
暂无分享,去创建一个
[1] Jun Yu,et al. Voxel-wise uncertainty in CT substitute derived from MRI. , 2012, Medical physics.
[2] 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.
[3] Olivier Salvado,et al. An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy. , 2012, International journal of radiation oncology, biology, physics.
[4] C. Bouveyron,et al. HDclassif: an R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data , 2012 .
[5] Adam Johansson,et al. CT substitute derived from MRI sequences with ultrashort echo time. , 2011, Medical physics.
[6] Olivier Salvado,et al. A magnetic resonance imaging‐based workflow for planning radiation therapy for prostate cancer , 2011, The Medical journal of Australia.
[7] Robert I McLachlan,et al. The prevalence and diagnosis rates of Klinefelter syndrome: an Australian comparison , 2011, The Medical journal of Australia.
[8] Ciprian Catana,et al. Toward Implementing an MRI-Based PET Attenuation-Correction Method for Neurologic Studies on the MR-PET Brain Prototype , 2010, The Journal of Nuclear Medicine.
[9] Tufve Nyholm,et al. Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions , 2010, Radiation oncology.
[10] S. Vandenberghe,et al. MRI-Based Attenuation Correction for PET/MRI Using Ultrashort Echo Time Sequences , 2010, Journal of Nuclear Medicine.
[11] Dieter Schardt,et al. Heavy-ion tumor therapy: Physical and radiobiological benefits , 2010 .
[12] B. Fallone,et al. First MR images obtained during megavoltage photon irradiation from a prototype integrated linac-MR system. , 2009, Medical physics.
[13] B. Schölkopf,et al. Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques , 2009, European Journal of Nuclear Medicine and Molecular Imaging.
[14] 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.
[15] L Xing,et al. MRI-based Treatment Planning with Electron Density Information Mapped from CT Images: A Preliminary Study , 2008, Technology in cancer research & treatment.
[16] B G Fallone,et al. A study on the magnetic resonance imaging (MRI)-based radiation treatment planning of intracranial lesions , 2008, Physics in medicine and biology.
[17] F. Verhaegen,et al. Dual-energy CT-based material extraction for tissue segmentation in Monte Carlo dose calculations , 2008, Physics in medicine and biology.
[18] Magnus Karlsson,et al. Radiation therapy planning and simulation with magnetic resonance images , 2008, SPIE Medical Imaging.
[19] Peter Börnert,et al. Selective 3D ultrashort TE imaging: comparison of “dual-echo” acquisition and magnetization preparation for improving short-T2 contrast , 2007, Magnetic Resonance Materials in Physics, Biology and Medicine.
[20] M. Robson,et al. Clinical ultrashort echo time imaging of bone and other connective tissues , 2006, NMR in biomedicine.
[21] M. Bronskill,et al. T1, T2 relaxation and magnetization transfer in tissue at 3T , 2005, Magnetic resonance in medicine.
[22] Matthew D Robson,et al. Magnetic resonance imaging of cortical bone with ultrashort TE pulse sequences. , 2005, Magnetic resonance imaging.
[23] C. Schmid,et al. High-Dimensional Discriminant Analysis , 2005 .
[24] Graham Wright,et al. Musculoskeletal MRI at 3.0 T: relaxation times and image contrast. , 2004, AJR. American journal of roentgenology.
[25] Mark Bydder,et al. Magnetic Resonance: An Introduction to Ultrashort TE (UTE) Imaging , 2003, Journal of computer assisted tomography.
[26] 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.
[27] O Jäkel,et al. Treatment planning for heavy ion radiotherapy: clinical implementation and application. , 2001, Physics in medicine and biology.
[28] O Jäkel,et al. Treatment planning for heavy-ion radiotherapy: physical beam model and dose optimization. , 2000, Physics in medicine and biology.
[29] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[30] P. Bachert. MRI-based treatment plan simulation and adaptation for ion radiotherapy using a classification-based approach , 2013 .
[31] Ralf Floca,et al. MatchPoint: On Bridging the Innovation Gap between Algorithmic Research and Clinical Use in Image Registration , 2009 .
[32] Jan J W Lagendijk,et al. MRI/linac integration. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[33] O Jäkel,et al. Treatment planning for heavy-ion radiotherapy: physical beam model and dose optimization , 2000 .
[34] W Schlegel,et al. Computer systems and mechanical tools for stereotactically guided conformation therapy with linear accelerators. , 1992, International journal of radiation oncology, biology, physics.