BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

399 related articles for article (PubMed ID: 32294626)

  • 1. A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder.
    van der Heyden B; Uray M; Fonseca GP; Huber P; Us D; Messner I; Law A; Parii A; Reisz N; Rinaldi I; Vilches Freixas G; Deutschmann H; Verhaegen F; Steininger P
    Phys Med Biol; 2020 Jul; 65(14):145002. PubMed ID: 32294626
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.
    Nomura Y; Xu Q; Shirato H; Shimizu S; Xing L
    Med Phys; 2019 Jul; 46(7):3142-3155. PubMed ID: 31077390
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Efficient scatter distribution estimation and correction in CBCT using concurrent Monte Carlo fitting.
    Bootsma GJ; Verhaegen F; Jaffray DA
    Med Phys; 2015 Jan; 42(1):54-68. PubMed ID: 25563247
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Combining scatter reduction and correction to improve image quality in cone-beam computed tomography (CBCT).
    Jin JY; Ren L; Liu Q; Kim J; Wen N; Guan H; Movsas B; Chetty IJ
    Med Phys; 2010 Nov; 37(11):5634-44. PubMed ID: 21158275
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Real-time scatter estimation for medical CT using the deep scatter estimation: Method and robustness analysis with respect to different anatomies, dose levels, tube voltages, and data truncation.
    Maier J; Eulig E; Vöth T; Knaup M; Kuntz J; Sawall S; Kachelrieß M
    Med Phys; 2019 Jan; 46(1):238-249. PubMed ID: 30390295
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy.
    Lalonde A; Winey B; Verburg J; Paganetti H; Sharp GC
    Phys Med Biol; 2020 Dec; 65(24):. PubMed ID: 32580174
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation and Clinical Application of a Commercially Available Iterative Reconstruction Algorithm for CBCT-Based IGRT.
    Mao W; Liu C; Gardner SJ; Siddiqui F; Snyder KC; Kumarasiri A; Zhao B; Kim J; Wen NW; Movsas B; Chetty IJ
    Technol Cancer Res Treat; 2019 Jan; 18():1533033818823054. PubMed ID: 30803367
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A model-based scatter artifacts correction for cone beam CT.
    Zhao W; Vernekohl D; Zhu J; Wang L; Xing L
    Med Phys; 2016 Apr; 43(4):1736. PubMed ID: 27036571
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A correlated sampling-based Monte Carlo simulation for fast CBCT iterative scatter correction.
    Qin P; Lin G; Li X; Piao Z; Huang S; Wu W; Qi M; Ma J; Zhou L; Xu Y
    Med Phys; 2023 Mar; 50(3):1466-1480. PubMed ID: 36323626
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Empirical scatter correction: CBCT scatter artifact reduction without prior information.
    Trapp P; Maier J; Susenburger M; Sawall S; Kachelrieß M
    Med Phys; 2022 Jul; 49(7):4566-4584. PubMed ID: 35390181
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A convolutional neural network for estimating cone-beam CT intensity deviations from virtual CT projections.
    Rusanov B; Ebert MA; Mukwada G; Hassan GM; Sabet M
    Phys Med Biol; 2021 Oct; 66(21):. PubMed ID: 34534979
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A simple, direct method for x-ray scatter estimation and correction in digital radiography and cone-beam CT.
    Siewerdsen JH; Daly MJ; Bakhtiar B; Moseley DJ; Richard S; Keller H; Jaffray DA
    Med Phys; 2006 Jan; 33(1):187-97. PubMed ID: 16485425
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Implementation of an efficient Monte Carlo calculation for CBCT scatter correction: phantom study.
    Watson PG; Mainegra-Hing E; Tomic N; Seuntjens J
    J Appl Clin Med Phys; 2015 Jul; 16(4):216–227. PubMed ID: 26219003
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning for x-ray scatter correction in dedicated breast CT.
    Pautasso JJ; Caballo M; Mikerov M; Boone JM; Michielsen K; Sechopoulos I
    Med Phys; 2023 Apr; 50(4):2022-2036. PubMed ID: 36565012
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Scatter correction based on adaptive photon path-based Monte Carlo simulation method in Multi-GPU platform.
    Zhang Y; Chen Y; Zhong A; Jia X; Wu S; Qi H; Zhou L; Xu Y
    Comput Methods Programs Biomed; 2020 Oct; 194():105487. PubMed ID: 32473514
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 3D-printed large-area focused grid for scatter reduction in cone-beam CT.
    Cobos SF; Norley CJ; Nikolov HN; Holdsworth DW
    Med Phys; 2023 Jan; 50(1):240-258. PubMed ID: 36215176
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cone-beam imaging with tilted rotation axis: Method and performance evaluation.
    Zhao C; Herbst M; Vogt S; Ritschl L; Kappler S; Siewerdsen JH; Zbijewski W
    Med Phys; 2020 Aug; 47(8):3305-3320. PubMed ID: 32340069
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Patient-specific scatter correction in clinical cone beam computed tomography imaging made possible by the combination of Monte Carlo simulations and a ray tracing algorithm.
    Thing RS; Bernchou U; Mainegra-Hing E; Brink C
    Acta Oncol; 2013 Oct; 52(7):1477-83. PubMed ID: 23879648
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-energy blended CBCT spectral imaging and scatter-decoupled material decomposition using a spectral modulator with flying focal spot (SMFFS).
    Deng Y; Zhou H; Wang Z; Wang AS; Gao H
    Med Phys; 2024 Apr; 51(4):2398-2412. PubMed ID: 38477717
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cone-beam breast computed tomography with a displaced flat panel detector array.
    Mettivier G; Russo P; Lanconelli N; Meo SL
    Med Phys; 2012 May; 39(5):2805-19. PubMed ID: 22559652
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.