BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

848 related articles for article (PubMed ID: 24320409)

  • 1. Quantification of organ motion based on an adaptive image-based scale invariant feature method.
    Paganelli C; Peroni M; Baroni G; Riboldi M
    Med Phys; 2013 Nov; 40(11):111701. PubMed ID: 24320409
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An adaptive motion regularization technique to support sliding motion in deformable image registration.
    Fu Y; Liu S; Li HH; Li H; Yang D
    Med Phys; 2018 Feb; 45(2):735-747. PubMed ID: 29251777
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A deformable phantom for 4D radiotherapy verification: design and image registration evaluation.
    Serban M; Heath E; Stroian G; Collins DL; Seuntjens J
    Med Phys; 2008 Mar; 35(3):1094-102. PubMed ID: 18404944
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Scale invariant feature transform in adaptive radiation therapy: a tool for deformable image registration assessment and re-planning indication.
    Paganelli C; Peroni M; Riboldi M; Sharp GC; Ciardo D; Alterio D; Orecchia R; Baroni G
    Phys Med Biol; 2013 Jan; 58(2):287-99. PubMed ID: 23257263
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Four-dimensional radiotherapy planning for DMLC-based respiratory motion tracking.
    Keall PJ; Joshi S; Vedam SS; Siebers JV; Kini VR; Mohan R
    Med Phys; 2005 Apr; 32(4):942-51. PubMed ID: 15895577
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluation of image guided motion management methods in lung cancer radiotherapy.
    Zhuang L; Yan D; Liang J; Ionascu D; Mangona V; Yang K; Zhou J
    Med Phys; 2014 Mar; 41(3):031911. PubMed ID: 24593729
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Simulation of four-dimensional CT images from deformable registration between inhale and exhale breath-hold CT scans.
    Sarrut D; Boldea V; Miguet S; Ginestet C
    Med Phys; 2006 Mar; 33(3):605-17. PubMed ID: 16878564
    [TBL] [Abstract][Full Text] [Related]  

  • 8. New algorithm to simulate organ movement and deformation for four-dimensional dose calculation based on a three-dimensional CT and fluoroscopy of the thorax.
    Miyabe Y; Narita Y; Mizowaki T; Matsuo Y; Takayama K; Takahashi K; Kaneko S; Kawada N; Maruhashi A; Hiraoka M
    Med Phys; 2009 Oct; 36(10):4328-39. PubMed ID: 19928063
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Clinical validation of a 4D-CT based method for lung ventilation measurement in phantoms and patients.
    Nyeng TB; Kallehauge JF; Høyer M; Petersen JB; Poulsen PR; Muren LP
    Acta Oncol; 2011 Aug; 50(6):897-907. PubMed ID: 21767190
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deformable image registration of liver with consideration of lung sliding motion.
    Xie Y; Chao M; Xiong G
    Med Phys; 2011 Oct; 38(10):5351-61. PubMed ID: 21992354
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Site-specific deformable imaging registration algorithm selection using patient-based simulated deformations.
    Nie K; Chuang C; Kirby N; Braunstein S; Pouliot J
    Med Phys; 2013 Apr; 40(4):041911. PubMed ID: 23556905
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Object-constrained meshless deformable algorithm for high speed 3D nonrigid registration between CT and CBCT.
    Chen T; Kim S; Goyal S; Jabbour S; Zhou J; Rajagopal G; Haffty B; Yue N
    Med Phys; 2010 Jan; 37(1):197-210. PubMed ID: 20175482
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images.
    Kanai T; Kadoya N; Ito K; Onozato Y; Cho SY; Kishi K; Dobashi S; Umezawa R; Matsushita H; Takeda K; Jingu K
    J Radiat Res; 2014 Nov; 55(6):1163-70. PubMed ID: 25053349
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust CT ventilation from the integral formulation of the Jacobian.
    Castillo E; Castillo R; Vinogradskiy Y; Dougherty M; Solis D; Myziuk N; Thompson A; Guerra R; Nair G; Guerrero T
    Med Phys; 2019 May; 46(5):2115-2125. PubMed ID: 30779353
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Attenuation correction in 4D-PET using a single-phase attenuation map and rigidity-adaptive deformable registration.
    Kalantari F; Wang J
    Med Phys; 2017 Feb; 44(2):522-532. PubMed ID: 27987223
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reconstruction of 3D lung models from 2D planning data sets for Hodgkin's lymphoma patients using combined deformable image registration and navigator channels.
    Ng A; Nguyen TN; Moseley JL; Hodgson DC; Sharpe MB; Brock KK
    Med Phys; 2010 Mar; 37(3):1017-28. PubMed ID: 20384237
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A method to detect landmark pairs accurately between intra-patient volumetric medical images.
    Yang D; Zhang M; Chang X; Fu Y; Liu S; Li HH; Mutic S; Duan Y
    Med Phys; 2017 Nov; 44(11):5859-5872. PubMed ID: 28834555
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Lung deformation estimation and four-dimensional CT lung reconstruction.
    Xu S; Taylor RH; Fichtinger G; Cleary K
    Acad Radiol; 2006 Sep; 13(9):1082-92. PubMed ID: 16935720
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quadratic penalty method for intensity-based deformable image registration and 4DCT lung motion recovery.
    Castillo E
    Med Phys; 2019 May; 46(5):2194-2203. PubMed ID: 30801729
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Lung motion estimation using dynamic point shifting: An innovative model based on a robust point matching algorithm.
    Yi J; Yang X; Chen G; Li YR
    Med Phys; 2015 Oct; 42(10):5616-32. PubMed ID: 26429236
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 43.