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PUBMED FOR HANDHELDS

Journal Abstract Search


356 related items for PubMed ID: 27743726

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  • 2. Joint intensity-and-point based registration of free-hand B-mode ultrasound and MRI of the carotid artery.
    Carvalho DD, Klein S, Akkus Z, van Dijk AC, Tang H, Selwaness M, Schinkel AF, Bosch JG, van der Lugt A, Niessen WJ.
    Med Phys; 2014 May; 41(5):052904. PubMed ID: 24784404
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  • 4. Three-dimensional ultrasound of carotid atherosclerosis: semiautomated segmentation using a level set-based method.
    Ukwatta E, Awad J, Ward AD, Buchanan D, Samarabandu J, Parraga G, Fenster A.
    Med Phys; 2011 May; 38(5):2479-93. PubMed ID: 21776783
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  • 6. Estimating 3D lumen centerlines of carotid arteries in free-hand acquisition ultrasound.
    Carvalho DD, Klein S, Akkus Z, ten Kate GL, Schinkel AF, Bosch JG, van der Lugt A, Niessen WJ.
    Int J Comput Assist Radiol Surg; 2012 Mar; 7(2):207-15. PubMed ID: 21713367
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  • 10. Freehand three-dimensional ultrasound imaging of carotid artery using motion tracking technology.
    Chung SW, Shih CC, Huang CC.
    Ultrasonics; 2017 Feb; 74():11-20. PubMed ID: 27721196
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  • 12. Three-dimensional segmentation of three-dimensional ultrasound carotid atherosclerosis using sparse field level sets.
    Ukwatta E, Yuan J, Buchanan D, Chiu B, Awad J, Qiu W, Parraga G, Fenster A.
    Med Phys; 2013 May; 40(5):052903. PubMed ID: 23635296
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  • 16. Segmentation of ultrasound images of the carotid using RANSAC and cubic splines.
    Rocha R, Campilho A, Silva J, Azevedo E, Santos R.
    Comput Methods Programs Biomed; 2011 Jan; 101(1):94-106. PubMed ID: 20554343
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  • 19. Quantification of common carotid artery and descending aorta vessel wall thickness from MR vessel wall imaging using a fully automated processing pipeline.
    Gao S, van 't Klooster R, Brandts A, Roes SD, Alizadeh Dehnavi R, de Roos A, Westenberg JJ, van der Geest RJ.
    J Magn Reson Imaging; 2017 Jan; 45(1):215-228. PubMed ID: 27251901
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