These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
185 related articles for article (PubMed ID: 32043812)
1. A technique to generate synthetic CT from MRI for abdominal radiotherapy. Hsu SH; DuPre P; Peng Q; Tomé WA J Appl Clin Med Phys; 2020 Feb; 21(2):136-143. PubMed ID: 32043812 [TBL] [Abstract][Full Text] [Related]
2. Automated air region delineation on MRI for synthetic CT creation. Thapa R; Ahunbay E; Nasief H; Chen X; Allen Li X Phys Med Biol; 2020 Jan; 65(2):025009. PubMed ID: 31775128 [TBL] [Abstract][Full Text] [Related]
3. Tissue segmentation-based electron density mapping for MR-only radiotherapy treatment planning of brain using conventional T1-weighted MR images. Yu H; Oliver M; Leszczynski K; Lee Y; Karam I; Sahgal A J Appl Clin Med Phys; 2019 Aug; 20(8):11-20. PubMed ID: 31257709 [TBL] [Abstract][Full Text] [Related]
5. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms. Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217 [TBL] [Abstract][Full Text] [Related]
6. Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET-MRI-guided radiotherapy treatment planning. Arabi H; Koutsouvelis N; Rouzaud M; Miralbell R; Zaidi H Phys Med Biol; 2016 Sep; 61(17):6531-52. PubMed ID: 27524504 [TBL] [Abstract][Full Text] [Related]
7. 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; 20(1):101-109. PubMed ID: 30474353 [TBL] [Abstract][Full Text] [Related]
8. mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification. Qian P; Chen Y; Kuo JW; Zhang YD; Jiang Y; Zhao K; Al Helo R; Friel H; Baydoun A; Zhou F; Heo JU; Avril N; Herrmann K; Ellis R; Traughber B; Jones RS; Wang S; Su KH; Muzic RF IEEE Trans Med Imaging; 2020 Apr; 39(4):819-832. PubMed ID: 31425065 [TBL] [Abstract][Full Text] [Related]
9. Towards abdominal MRI-based treatment planning using population-based Hounsfield units for bulk density assignment. Hsu SH; Zawisza I; O'Grady K; Peng Q; Tomé WA Phys Med Biol; 2018 Jul; 63(15):155003. PubMed ID: 29952320 [TBL] [Abstract][Full Text] [Related]
10. Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region. Arabi H; Dowling JA; Burgos N; Han X; Greer PB; Koutsouvelis N; Zaidi H Med Phys; 2018 Nov; 45(11):5218-5233. PubMed ID: 30216462 [TBL] [Abstract][Full Text] [Related]
11. Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network. Dinkla AM; Florkow MC; Maspero M; Savenije MHF; Zijlstra F; Doornaert PAH; van Stralen M; Philippens MEP; van den Berg CAT; Seevinck PR Med Phys; 2019 Sep; 46(9):4095-4104. PubMed ID: 31206701 [TBL] [Abstract][Full Text] [Related]
12. Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors. Ahunbay E; Parchur AK; Xu J; Thill D; Paulson ES; Li XA Phys Med Biol; 2023 Jun; 68(12):. PubMed ID: 37253374 [No Abstract] [Full Text] [Related]
13. MR-guided attenuation map for prostate PET-MRI: an intensity and morphologic-based segmentation approach for generating a five-class attenuation map in pelvic region. Shandiz MS; Rad HS; Ghafarian P; Karam MB; Akbarzadeh A; Ay MR Ann Nucl Med; 2017 Jan; 31(1):29-39. PubMed ID: 27680021 [TBL] [Abstract][Full Text] [Related]
14. A comparative study of automatic image segmentation algorithms for target tracking in MR-IGRT. Feng Y; Kawrakow I; Olsen J; Parikh PJ; Noel C; Wooten O; Du D; Mutic S; Hu Y J Appl Clin Med Phys; 2016 Mar; 17(2):441-460. PubMed ID: 27074465 [TBL] [Abstract][Full Text] [Related]
15. Assessing the Dosimetric Accuracy of Magnetic Resonance-Generated Synthetic CT Images for Focal Brain VMAT Radiation Therapy. Paradis E; Cao Y; Lawrence TS; Tsien C; Feng M; Vineberg K; Balter JM Int J Radiat Oncol Biol Phys; 2015 Dec; 93(5):1154-61. PubMed ID: 26581151 [TBL] [Abstract][Full Text] [Related]
16. A dual model HU conversion from MRI intensity values within and outside of bone segment for MRI-based radiotherapy treatment planning of prostate cancer. Korhonen J; Kapanen M; Keyriläinen J; Seppälä T; Tenhunen M Med Phys; 2014 Jan; 41(1):011704. PubMed ID: 24387496 [TBL] [Abstract][Full Text] [Related]
17. A Technique to Rapidly Generate Synthetic Computed Tomography for Magnetic Resonance Imaging-Guided Online Adaptive Replanning: An Exploratory Study. Ahunbay EE; Thapa R; Chen X; Paulson E; Li XA Int J Radiat Oncol Biol Phys; 2019 Apr; 103(5):1261-1270. PubMed ID: 30550817 [TBL] [Abstract][Full Text] [Related]
18. Generation of synthetic CT using multi-scale and dual-contrast patches for brain MRI-only external beam radiotherapy. Aouadi S; Vasic A; Paloor S; Torfeh T; McGarry M; Petric P; Riyas M; Hammoud R; Al-Hammadi N Phys Med; 2017 Oct; 42():174-184. PubMed ID: 29173912 [TBL] [Abstract][Full Text] [Related]
19. Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision. Qian P; Zheng J; Zheng Q; Liu Y; Wang T; Al Helo R; Baydoun A; Avril N; Ellis RJ; Friel H; Traughber MS; Devaraj A; Traughber B; Muzic RF IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(1):70-82. PubMed ID: 32175868 [TBL] [Abstract][Full Text] [Related]
20. Technical Note: Efficient and accurate MRI-only based treatment planning of the prostate using bulk density assignment through atlas-based segmentation. McCallum HM; Andersson S; Wyatt JJ; Richmond N; Walker CP; Svensson S Med Phys; 2020 Oct; 47(10):4758-4762. PubMed ID: 32682337 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]