BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

274 related articles for article (PubMed ID: 23464305)

  • 1. Estimating the 4D respiratory lung motion by spatiotemporal registration and super-resolution image reconstruction.
    Wu G; Wang Q; Lian J; Shen D
    Med Phys; 2013 Mar; 40(3):031710. PubMed ID: 23464305
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimating the 4D respiratory lung motion by spatiotemporal registration and building super-resolution image.
    Wu G; Wang Q; Lian J; Shen D
    Med Image Comput Comput Assist Interv; 2011; 14(Pt 1):532-9. PubMed ID: 22003659
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving image-guided radiation therapy of lung cancer by reconstructing 4D-CT from a single free-breathing 3D-CT on the treatment day.
    Wu G; Lian J; Shen D
    Med Phys; 2012 Dec; 39(12):7694-709. PubMed ID: 23231317
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone-beam CT.
    Wang J; Gu X
    Med Phys; 2013 Oct; 40(10):101912. PubMed ID: 24089914
    [TBL] [Abstract][Full Text] [Related]  

  • 5. High-quality initial image-guided 4D CBCT reconstruction.
    Zhi S; Kachelrieß M; Mou X
    Med Phys; 2020 Jun; 47(5):2099-2115. PubMed ID: 32017128
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Resolution enhancement of lung 4D-CT via group-sparsity.
    Bhavsar A; Wu G; Lian J; Shen D
    Med Phys; 2013 Dec; 40(12):121717. PubMed ID: 24320503
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Spatiotemporal motion estimation for respiratory-correlated imaging of the lungs.
    Vandemeulebroucke J; Rit S; Kybic J; Clarysse P; Sarrut D
    Med Phys; 2011 Jan; 38(1):166-78. PubMed ID: 21361185
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Modeling respiratory motion for reducing motion artifacts in 4D CT images.
    Zhang Y; Yang J; Zhang L; Court LE; Balter PA; Dong L
    Med Phys; 2013 Apr; 40(4):041716. PubMed ID: 23556886
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artifact-resistant motion estimation with a patient-specific artifact model for motion-compensated cone-beam CT.
    Brehm M; Paysan P; Oelhafen M; Kachelrieß M
    Med Phys; 2013 Oct; 40(10):101913. PubMed ID: 24089915
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Quantifying the impact of respiratory-gated 4D CT acquisition on thoracic image quality: a digital phantom study.
    Bernatowicz K; Keall P; Mishra P; Knopf A; Lomax A; Kipritidis J
    Med Phys; 2015 Jan; 42(1):324-34. PubMed ID: 25563272
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Statistical modeling of 4D respiratory lung motion using diffeomorphic image registration.
    Ehrhardt J; Werner R; Schmidt-Richberg A; Handels H
    IEEE Trans Med Imaging; 2011 Feb; 30(2):251-65. PubMed ID: 20876013
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data-driven respiratory motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) using groupwise deformable registration.
    Riblett MJ; Christensen GE; Weiss E; Hugo GD
    Med Phys; 2018 Oct; 45(10):4471-4482. PubMed ID: 30118177
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dynamic volume vs respiratory correlated 4DCT for motion assessment in radiation therapy simulation.
    Coolens C; Bracken J; Driscoll B; Hope A; Jaffray D
    Med Phys; 2012 May; 39(5):2669-81. PubMed ID: 22559637
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Joint surface reconstruction and 4D deformation estimation from sparse data and prior knowledge for marker-less Respiratory motion tracking.
    Berkels B; Bauer S; Ettl S; Arold O; Hornegger J; Rumpf M
    Med Phys; 2013 Sep; 40(9):091703. PubMed ID: 24007136
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Geometric validation of self-gating k-space-sorted 4D-MRI vs 4D-CT using a respiratory motion phantom.
    Yue Y; Fan Z; Yang W; Pang J; Deng Z; McKenzie E; Tuli R; Wallace R; Li D; Fraass B
    Med Phys; 2015 Oct; 42(10):5787-97. PubMed ID: 26429253
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Actively triggered 4d cone-beam CT acquisition.
    Fast MF; Wisotzky E; Oelfke U; Nill S
    Med Phys; 2013 Sep; 40(9):091909. PubMed ID: 24007160
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Registration based super-resolution reconstruction for lung 4D-CT.
    Wu X; Xiao S; Zhang Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():2444-7. PubMed ID: 25570484
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Super-resolution reconstruction for 4D computed tomography of the lung via the projections onto convex sets approach.
    Zhang Y; Wu X; Yang W; Feng Q; Chen W
    Med Phys; 2014 Nov; 41(11):111917. PubMed ID: 25370650
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clinical use of iterative 4D-cone beam computed tomography reconstructions to investigate respiratory tumor motion in lung cancer patients.
    Schmidt ML; Poulsen PR; Toftegaard J; Hoffmann L; Hansen D; Sørensen TS
    Acta Oncol; 2014 Aug; 53(8):1107-13. PubMed ID: 24957556
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.