Assessment of dose accuracy for online MR-guided radiotherapy for cervical carcinoma
Tài liệu tham khảo
Andreasen, 2015, Patch-based generation of a pseudo CT from conventional MRI sequences for MRI-only radiotherapy of the brain, Medical Physics, 42, 1596, 10.1118/1.4914158
Chuter, 2019, Comparison of intensity modulated radiotherapy plan optimisation methods for a 1.5 T MR-Linac, Journal of Applied Clinical Medical Physics, 20, 43, 10.1002/acm2.12475
Cusumano, 2020, On the accuracy of bulk synthetic CT for MR-guided online adaptive radiotherapy, La Radiologia Medica, 125, 157, 10.1007/s11547-019-01090-0
Dalah, 2014, Variability of target and normal structure delineation using multimodality imaging for radiation therapy of pancreatic cancer, International Journal of Radiation Oncology, Biology, Physics, 89, 633, 10.1016/j.ijrobp.2014.02.035
Dinkla, 2018, MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network, International Journal of Radiation Oncology, Biology, Physics, 102, 801, 10.1016/j.ijrobp.2018.05.058
Dowling, 2012, An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy, International Journal of Radiation Oncology, Biology, Physics, 83, e5, 10.1016/j.ijrobp.2011.11.056
Edmund, 2017, A review of substitute CT generation for MRI-only radiation therapy, Radiation Oncology, 12, 28, 10.1186/s13014-016-0747-y
Fallone, 2014, The rotating biplanar linac-magnetic resonance imaging system, Seminars in Radiation Oncology, 24, 200, 10.1016/j.semradonc.2014.02.011
Fu, 2019, Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging, Medical Physics, 46, 3788, 10.1002/mp.13672
Hissoiny, 2011, Fast dose calculation in magnetic fields with GPUMCD, Physics in Medicine and Biology, 56, 5119, 10.1088/0031-9155/56/16/003
Hoogcarspel, 2014, The feasibility of utilizing pseudo CT-data for online MRI based treatment plan adaptation for a stereotactic radiotherapy treatment of spinal bone metastases, Physics in Medicine and Biology, 59, 7383, 10.1088/0031-9155/59/23/7383
Kapanen, 2013, T1/T2*-weighted MRI provides clinically relevant pseudo-CT density data for the pelvic bones in MRI-only based radiotherapy treatment planning, Acta Oncologica, 52, 612, 10.3109/0284186X.2012.692883
Karotki, 2011, Comparison of bulk electron density and voxel-based electron density treatment planning, Journal of Applied Clinical Medical Physics, 12, 3522, 10.1120/jacmp.v12i4.3522
Korhonen, 2014, A dual model HU conversion from MRI intensity values within and outside of bone segment for MRI-based radiotherapy treatment planning of prostate cancer, Medical Physics, 41, 011704, 10.1118/1.4842575
Korhonen, 2013, Absorbed doses behind bones with MR image-based dose calculations for radiotherapy treatment planning, Medical Physics, 40, 011701, 10.1118/1.4769407
Korsholm, 2014, A criterion for the reliable use of MRI-only radiotherapy, Radiation Oncology, 9, 1
Lagendijk, 2008, MRI/linac integration, Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology, 86, 25, 10.1016/j.radonc.2007.10.034
Low, 1998, a technique for the quantitative evaluation of dose distributions, Medical Physics, 25, 656, 10.1118/1.598248
Mutic, 2014, The ViewRay system: Magnetic resonance-guided and controlled radiotherapy, Seminars in Radiation Oncology, 24, 196, 10.1016/j.semradonc.2014.02.008
Paulson, 2015, Comprehensive MRI simulation methodology using a dedicated MRI scanner in radiation oncology for external beam radiation treatment planning, Medical Physics, 42, 28, 10.1118/1.4896096
Peng, 2020, Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma radiotherapy treatment planning, Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology, 150, 217, 10.1016/j.radonc.2020.06.049
Prior, 2016, MRI-based IMRT planning for MR-linac: Comparison between CT- and MRI-based plans for pancreatic and prostate cancers, Physics in Medicine and Biology, 61, 3819, 10.1088/0031-9155/61/10/3819
Prior, 2017, Technical Note: Is bulk electron density assignment appropriate for MRI-only based treatment planning for lung cancer?, Medical Physics, 44, 3437, 10.1002/mp.12267
Qi, 2020, Multi-sequence MR image-based synthetic CT generation using a generative adversarial network for head and neck MRI-only radiotherapy, Medical Physics, 47, 1880, 10.1002/mp.14075
Rank, 2013, MRI-based simulation of treatment plans for ion radiotherapy in the brain region, Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology, 109, 414, 10.1016/j.radonc.2013.10.034
Uh, 2014, MRI-based treatment planning with pseudo CT generated through atlas registration, Medical Physics, 41, 051711, 10.1118/1.4873315
Wang, 2018, Assessment of image quality and scatter and leakage radiation of an integrated MR-LINAC system, Medical Physics, 45, 1204, 10.1002/mp.12767
Winkel, 2019, Adaptive radiotherapy: The Elekta Unity MR-linac concept, Clinical and Translational Radiation Oncology, 18, 54, 10.1016/j.ctro.2019.04.001
Young, 2018, Assessment of electron density effects on dose calculation and optimisation accuracy for nasopharynx, for MRI only treatment planning, Australasian Physical & Engineering Sciences in Medicine, 41, 811, 10.1007/s13246-018-0675-2