Image Guided Radiation Therapy Using Synthetic Computed Tomography Images in Brain Cancer.
暂无分享,去创建一个
Carri Glide-Hurst | Indrin J Chetty | Weili Zheng | Ryan G Price | I. Chetty | C. Glide-Hurst | Weili Zheng | Joshua Kim | Joshua P Kim | R. Price
[1] J Balter,et al. Patient-induced susceptibility effect on geometric distortion of clinical brain MRI for radiation treatment planning on a 3T scanner , 2013, Physics in medicine and biology.
[2] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[3] Koen Van Leemput,et al. Cone beam computed tomography guided treatment delivery and planning verification for magnetic resonance imaging only radiotherapy of the brain , 2015, Acta oncologica.
[4] 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.
[5] M C Schell,et al. MR image-guided portal verification for brain treatment field. , 1998, International journal of radiation oncology, biology, physics.
[6] D Forsberg,et al. Generating patient specific pseudo-CT of the head from MR using atlas-based regression , 2015, Physics in medicine and biology.
[7] Minsong Cao,et al. Accuracy of UTE-MRI-based patient setup for brain cancer radiation therapy. , 2016, Medical physics.
[8] C. Caldwell,et al. Toward magnetic resonance-only simulation: segmentation of bone in MR for radiation therapy verification of the head. , 2014, International journal of radiation oncology, biology, physics.
[9] H. Kooy,et al. Automatic three-dimensional correlation of CT-CT, CT-MRI, and CT-SPECT using chamfer matching. , 1994, Medical physics.
[10] Joos V Lebesque,et al. Inclusion of geometric uncertainties in treatment plan evaluation. , 2002, International journal of radiation oncology, biology, physics.
[11] B Gino Fallone,et al. Characterization, prediction, and correction of geometric distortion in 3 T MR images. , 2007, Medical physics.
[12] Tiina Seppälä,et al. A dual model HU conversion from MRI intensity values within and outside of bone segment for MRI-based radiotherapy treatment planning of prostate cancer. , 2013, Medical physics.
[13] Mark Jenkinson,et al. Fast, automated, N‐dimensional phase‐unwrapping algorithm , 2003, Magnetic resonance in medicine.
[14] Joshua Kim,et al. Technical Note: Characterization and correction of gradient nonlinearity induced distortion on a 1.0 T open bore MR-SIM. , 2015, Medical physics.
[15] 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.
[16] Carri Glide-Hurst,et al. Implementation of a novel algorithm for generating synthetic CT images from magnetic resonance imaging data sets for prostate cancer radiation therapy. , 2015, International journal of radiation oncology, biology, physics.
[17] K. Aldape,et al. RADIATION THERAPY ONCOLOGY GROUP RTOG 0825 PHASE III DOUBLE-BLIND PLACEBO-CONTROLLED TRIAL OF CONVENTIONAL CONCURRENT CHEMORADIATION AND ADJUVANT TEMOZOLOMIDE PLUS BEVACIZUMAB VERSUS CONVENTIONAL CONCURRENT CHEMORADIATION AND ADJUVANT TEMOZOLOMIDE IN PATIENTS WITH NEWLY DIAGNOSED GLIOBLASTOMA , 2009 .
[18] Aitang Xing,et al. An accuracy assessment of different rigid body image registration methods and robotic couch positional corrections using a novel phantom. , 2013, Medical physics.
[19] J. Sonke,et al. Feasibility of MRI-based reference images for image-guided radiotherapy of the pelvis with either cone-beam computed tomography or planar localization images , 2015, Acta oncologica.
[20] Jidi Sun,et al. MRI simulation: end-to-end testing for prostate radiation therapy using geometric pelvic MRI phantoms. , 2015, Physics in medicine and biology.
[21] J. Edmund,et al. A criterion for the reliable use of MRI-only radiotherapy , 2014, Radiation oncology.
[22] S. Reeder,et al. T1 independent, T2* corrected MRI with accurate spectral modeling for quantification of fat: Validation in a fat‐water‐SPIO phantom , 2009, Journal of magnetic resonance imaging : JMRI.
[23] Mark W. Woolrich,et al. Bayesian analysis of neuroimaging data in FSL , 2009, NeuroImage.
[24] D A Jaffray,et al. Characterization of tissue magnetic susceptibility-induced distortions for MRIgRT. , 2012, Medical physics.
[25] 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.
[26] Mary Feng,et al. Assessing the Dosimetric Accuracy of Magnetic Resonance-Generated Synthetic CT Images for Focal Brain VMAT Radiation Therapy. , 2015, International journal of radiation oncology, biology, physics.
[27] Jinsoo Uh,et al. MRI-based treatment planning with pseudo CT generated through atlas registration. , 2014, Medical physics.
[28] B Gino Fallone,et al. A two-step scheme for distortion rectification of magnetic resonance images. , 2009, Medical physics.
[29] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[30] Peter Johnstone,et al. Performance evaluation of an automated image registration algorithm using an integrated kilovoltage imaging and guidance system , 2006, Journal of applied clinical medical physics.
[31] Dong-Hyun Kim,et al. Simultaneous imaging of in vivo conductivity and susceptibility , 2014, Magnetic resonance in medicine.
[32] Carri Glide-Hurst,et al. Dosimetric evaluation of synthetic CT relative to bulk density assignment-based magnetic resonance-only approaches for prostate radiotherapy , 2015, Radiation oncology.
[33] Shamurailatpam Dayananda Sharma,et al. Evaluation of automated image registration algorithm for image-guided radiotherapy (IGRT) , 2012, Australasian Physical & Engineering Sciences in Medicine.
[34] Indrin J Chetty,et al. Magnetic Resonance-Based Automatic Air Segmentation for Generation of Synthetic Computed Tomography Scans in the Head Region. , 2015, International journal of radiation oncology, biology, physics.
[35] Adam Johansson,et al. CT substitute derived from MRI sequences with ultrashort echo time. , 2011, Medical physics.
[36] B. Erickson,et al. Comprehensive MRI simulation methodology using a dedicated MRI scanner in radiation oncology for external beam radiation treatment planning. , 2014, Medical physics.