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148 related items for PubMed ID: 34688037
1. Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept. Szalkowski G, Nie D, Zhu T, Yap PT, Lian J. Comput Biol Med; 2021 Nov; 138():104917. PubMed ID: 34688037 [Abstract] [Full Text] [Related]
2. End-to-end validation of fiducial tracking accuracy in robotic radiosurgery using MRI-only simulation imaging. Singhrao K, Zubair M, Nano T, Scholey JE, Descovich M. Med Phys; 2024 Jan; 51(1):31-41. PubMed ID: 38055419 [Abstract] [Full Text] [Related]
3. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging. Fu J, Yang Y, Singhrao K, Ruan D, Chu FI, Low DA, Lewis JH. Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353 [Abstract] [Full Text] [Related]
4. Technical note: MR image-based synthesis CT for CyberKnife robotic stereotactic radiosurgery. Jiao S, Zhao X, Zhou P, Geng M. Biomed Phys Eng Express; 2024 Aug 13; 10(5):. PubMed ID: 39094608 [Abstract] [Full Text] [Related]
5. Patch-based generative adversarial neural network models for head and neck MR-only planning. Klages P, Benslimane I, Riyahi S, Jiang J, Hunt M, Deasy JO, Veeraraghavan H, Tyagi N. Med Phys; 2020 Feb 13; 47(2):626-642. PubMed ID: 31733164 [Abstract] [Full Text] [Related]
6. Feasibility of MRI-based reference images for image-guided radiotherapy of the pelvis with either cone-beam computed tomography or planar localization images. Korhonen J, Kapanen M, Sonke JJ, Wee L, Salli E, Keyriläinen J, Seppälä T, Tenhunen M. Acta Oncol; 2015 Jun 13; 54(6):889-95. PubMed ID: 25233439 [Abstract] [Full Text] [Related]
7. MR-based synthetic CT generation using a deep convolutional neural network method. Han X. Med Phys; 2017 Apr 13; 44(4):1408-1419. PubMed ID: 28192624 [Abstract] [Full Text] [Related]
8. Implementation of a novel algorithm for generating synthetic CT images from magnetic resonance imaging data sets for prostate cancer radiation therapy. Kim J, Glide-Hurst C, Doemer A, Wen N, Movsas B, Chetty IJ. Int J Radiat Oncol Biol Phys; 2015 Jan 01; 91(1):39-47. PubMed ID: 25442341 [Abstract] [Full Text] [Related]
9. MR image-based synthetic CT for IMRT prostate treatment planning and CBCT image-guided localization. Chen S, Quan H, Qin A, Yee S, Yan D. J Appl Clin Med Phys; 2016 May 08; 17(3):236-245. PubMed ID: 27167281 [Abstract] [Full Text] [Related]
10. Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapy. Gardner M, Bouchta YB, Mylonas A, Mueller M, Cheng C, Chlap P, Finnegan R, Sykes J, Keall PJ, Nguyen DT. Med Phys; 2023 Jul 08; 50(7):4206-4219. PubMed ID: 37029643 [Abstract] [Full Text] [Related]
11. Synthetic Computed Tomography Generation from 0.35T Magnetic Resonance Images for Magnetic Resonance-Only Radiation Therapy Planning Using Perceptual Loss Models. Li X, Yadav P, McMillan AB. Pract Radiat Oncol; 2022 Jul 08; 12(1):e40-e48. PubMed ID: 34450337 [Abstract] [Full Text] [Related]
12. A multi-institutional analysis of a general pelvis continuous Hounsfield unit synthetic CT software for radiotherapy. Yu VY, Keyrilainen J, Suilamo S, Beslimane I, Dresner A, Halkola A, Van der Heide UA, Tyagi N. J Appl Clin Med Phys; 2021 Mar 08; 22(3):207-215. PubMed ID: 33616303 [Abstract] [Full Text] [Related]
13. CBCT-DRRs superior to CT-DRRs for target-tracking applications for pancreatic SBRT. Madden L, Ahmed A, Stewart M, Chrystall D, Mylonas A, Brown R, Nguyen DT, Keall P, Booth J. Biomed Phys Eng Express; 2024 Apr 26; 10(3):. PubMed ID: 38588646 [Abstract] [Full Text] [Related]
14. Deep learning in computed tomography super resolution using multi-modality data training. Fok WYR, Fieselmann A, Herbst M, Ritschl L, Kappler S, Saalfeld S. Med Phys; 2024 Apr 26; 51(4):2846-2860. PubMed ID: 37972365 [Abstract] [Full Text] [Related]
15. T1/T2*-weighted MRI provides clinically relevant pseudo-CT density data for the pelvic bones in MRI-only based radiotherapy treatment planning. Kapanen M, Tenhunen M. Acta Oncol; 2013 Apr 26; 52(3):612-8. PubMed ID: 22712634 [Abstract] [Full Text] [Related]
16. Dosimetric evaluation of an atlas-based synthetic CT generation approach for MR-only radiotherapy of pelvis anatomy. Farjam R, Tyagi N, Deasy JO, Hunt MA. J Appl Clin Med Phys; 2019 Jan 26; 20(1):101-109. PubMed ID: 30474353 [Abstract] [Full Text] [Related]
17. Image Guided Radiation Therapy Using Synthetic Computed Tomography Images in Brain Cancer. Price RG, Kim JP, Zheng W, Chetty IJ, Glide-Hurst C. Int J Radiat Oncol Biol Phys; 2016 Jul 15; 95(4):1281-9. PubMed ID: 27209500 [Abstract] [Full Text] [Related]
18. Using synthetic CT for partial brain radiation therapy: Impact on image guidance. Morris ED, Price RG, Kim J, Schultz L, Siddiqui MS, Chetty I, Glide-Hurst C. Pract Radiat Oncol; 2018 Jul 15; 8(5):342-350. PubMed ID: 29861348 [Abstract] [Full Text] [Related]
19. Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy. Fu J, Singhrao K, Cao M, Yu V, Santhanam AP, Yang Y, Guo M, Raldow AC, Ruan D, Lewis JH. Biomed Phys Eng Express; 2020 Jan 30; 6(1):015033. PubMed ID: 33438621 [Abstract] [Full Text] [Related]
20. Toward magnetic resonance-only simulation: segmentation of bone in MR for radiation therapy verification of the head. Yu H, Caldwell C, Balogh J, Mah K. Int J Radiat Oncol Biol Phys; 2014 Jul 01; 89(3):649-57. PubMed ID: 24803040 [Abstract] [Full Text] [Related] Page: [Next] [New Search]