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PUBMED FOR HANDHELDS

Journal Abstract Search


184 related items for PubMed ID: 21411400

  • 1. Segmentation of plaques in sequences of ultrasonic B-mode images of carotid arteries based on motion estimation and a Bayesian model.
    Destrempes F, Meunier J, Giroux MF, Soulez G, Cloutier G.
    IEEE Trans Biomed Eng; 2011 Aug; 58(8):. PubMed ID: 21411400
    [Abstract] [Full Text] [Related]

  • 2. Segmentation in ultrasonic B-mode images of healthy carotid arteries using mixtures of Nakagami distributions and stochastic optimization.
    Destrempes F, Meunier J, Giroux MF, Soulez G, Cloutier G.
    IEEE Trans Med Imaging; 2009 Feb; 28(2):215-29. PubMed ID: 19068423
    [Abstract] [Full Text] [Related]

  • 3. An integrated system for the segmentation of atherosclerotic carotid plaque ultrasound video.
    Loizou C, Petroudi S, Pantziaris M, Nicolaides A, Pattichis C.
    IEEE Trans Ultrason Ferroelectr Freq Control; 2014 Jan; 61(1):86-101. PubMed ID: 24402898
    [Abstract] [Full Text] [Related]

  • 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
    [Abstract] [Full Text] [Related]

  • 5. Semiautomatic segmentation of atherosclerotic carotid artery wall volume using 3D ultrasound imaging.
    Hossain MM, AlMuhanna K, Zhao L, Lal BK, Sikdar S.
    Med Phys; 2015 Apr; 42(4):2029-43. PubMed ID: 25832093
    [Abstract] [Full Text] [Related]

  • 6. Fully automatic plaque segmentation in 3-D carotid ultrasound images.
    Cheng J, Li H, Xiao F, Fenster A, Zhang X, He X, Li L, Ding M.
    Ultrasound Med Biol; 2013 Dec; 39(12):2431-46. PubMed ID: 24063959
    [Abstract] [Full Text] [Related]

  • 7. Carotid artery recognition system: a comparison of three automated paradigms for ultrasound images.
    Molinari F, Meiburger KM, Zeng G, Acharya UR, Liboni W, Nicolaides A, Suri JS.
    Med Phys; 2012 Jan; 39(1):378-91. PubMed ID: 22225307
    [Abstract] [Full Text] [Related]

  • 8. Dynamic programming in parallel boundary detection with application to ultrasound intima-media segmentation.
    Zhou Y, Cheng X, Xu X, Song E.
    Med Image Anal; 2013 Dec; 17(8):892-906. PubMed ID: 23837965
    [Abstract] [Full Text] [Related]

  • 9. Robust carotid artery recognition in longitudinal B-mode ultrasound images.
    Sifakis EG, Golemati S.
    IEEE Trans Image Process; 2014 Sep; 23(9):3762-72. PubMed ID: 24968172
    [Abstract] [Full Text] [Related]

  • 10. 3D ultrasound analysis of carotid plaque volume and surface morphology.
    Fenster A, Blake C, Gyacskov I, Landry A, Spence JD.
    Ultrasonics; 2006 Dec 22; 44 Suppl 1():e153-7. PubMed ID: 16844159
    [Abstract] [Full Text] [Related]

  • 11. Evaluation of a Kalman-based block matching method to assess the bi-dimensional motion of the carotid artery wall in B-mode ultrasound sequences.
    Zahnd G, Orkisz M, Sérusclat A, Moulin P, Vray D.
    Med Image Anal; 2013 Jul 22; 17(5):573-85. PubMed ID: 23612497
    [Abstract] [Full Text] [Related]

  • 12. Semiautomatic quantification of carotid plaque volume with three-dimensional ultrasound imaging.
    Khan AA, Koudelka C, Goldstein C, Zhao L, Yokemick J, Dux M, Sikdar S, Lal BK.
    J Vasc Surg; 2017 May 22; 65(5):1407-1417. PubMed ID: 28274755
    [Abstract] [Full Text] [Related]

  • 13. Quantification of carotid vessel wall and plaque thickness change using 3D ultrasound images.
    Chiu B, Egger M, Spence JD, Parraga G, Fenster A.
    Med Phys; 2008 Aug 22; 35(8):3691-710. PubMed ID: 18777929
    [Abstract] [Full Text] [Related]

  • 14. Fully automated carotid plaque segmentation in combined contrast-enhanced and B-mode ultrasound.
    Akkus Z, Carvalho DD, van den Oord SC, Schinkel AF, Niessen WJ, de Jong N, van der Steen AF, Klein S, Bosch JG.
    Ultrasound Med Biol; 2015 Feb 22; 41(2):517-31. PubMed ID: 25542485
    [Abstract] [Full Text] [Related]

  • 15. 3-D reconstruction of tissue components for atherosclerotic human arteries using ex vivo high-resolution MRI.
    Auer M, Stollberger R, Regitnig P, Ebner F, Holzapfel GA.
    IEEE Trans Med Imaging; 2006 Mar 22; 25(3):345-57. PubMed ID: 16524090
    [Abstract] [Full Text] [Related]

  • 16. Automatic segmentation and plaque characterization in atherosclerotic carotid artery MR images.
    Adame IM, van der Geest RJ, Wasserman BA, Mohamed MA, Reiber JH, Lelieveldt BP.
    MAGMA; 2004 Apr 22; 16(5):227-34. PubMed ID: 15029508
    [Abstract] [Full Text] [Related]

  • 17. A local angle compensation method based on kinematics constraints for non-invasive vascular axial strain computations on human carotid arteries.
    Mercure E, Destrempes F, Roy Cardinal MH, Porée J, Soulez G, Ohayon J, Cloutier G.
    Comput Med Imaging Graph; 2014 Mar 22; 38(2):123-36. PubMed ID: 24050884
    [Abstract] [Full Text] [Related]

  • 18. Three-dimensional carotid ultrasound segmentation variability dependence on signal difference and boundary orientation.
    Chiu B, Krasinski A, Spence JD, Parraga G, Fenster A.
    Ultrasound Med Biol; 2010 Jan 22; 36(1):95-110. PubMed ID: 19900751
    [Abstract] [Full Text] [Related]

  • 19. Novel methodology for 3D reconstruction of carotid arteries and plaque characterization based upon magnetic resonance imaging carotid angiography data.
    Sakellarios AI, Stefanou K, Siogkas P, Tsakanikas VD, Bourantas CV, Athanasiou L, Exarchos TP, Fotiou E, Naka KK, Papafaklis MI, Patterson AJ, Young VE, Gillard JH, Michalis LK, Fotiadis DI.
    Magn Reson Imaging; 2012 Oct 22; 30(8):1068-82. PubMed ID: 22617149
    [Abstract] [Full Text] [Related]

  • 20. Tracking of carotid arteries in ultrasound images.
    Liu S, Padfield D, Mendonca P.
    Med Image Comput Comput Assist Interv; 2013 Oct 22; 16(Pt 2):526-33. PubMed ID: 24579181
    [Abstract] [Full Text] [Related]


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