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PUBMED FOR HANDHELDS

Journal Abstract Search


257 related items for PubMed ID: 31837022

  • 1. Automated 3D geometry segmentation of the healthy and diseased carotid artery in free-hand, probe tracked ultrasound images.
    de Ruijter J, van Sambeek M, van de Vosse F, Lopata R.
    Med Phys; 2020 Mar; 47(3):1034-1047. PubMed ID: 31837022
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  • 2. 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
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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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  • 5. Carotid plaque segmentation from three-dimensional ultrasound images by direct three-dimensional sparse field level-set optimization.
    Cheng J, Chen Y, Yu Y, Chiu B.
    Comput Biol Med; 2018 Mar 01; 94():27-40. PubMed ID: 29407996
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  • 6. Freehand three-dimensional ultrasound imaging of carotid artery using motion tracking technology.
    Chung SW, Shih CC, Huang CC.
    Ultrasonics; 2017 Feb 01; 74():11-20. PubMed ID: 27721196
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  • 7. 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 01; 65(5):1407-1417. PubMed ID: 28274755
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  • 8. 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 01; 7(2):207-15. PubMed ID: 21713367
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  • 10. 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 01; 35(8):3691-710. PubMed ID: 18777929
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  • 14. Learning-based automated segmentation of the carotid artery vessel wall in dual-sequence MRI using subdivision surface fitting.
    Gao S, van 't Klooster R, Kitslaar PH, Coolen BF, van den Berg AM, Smits LP, Shahzad R, Shamonin DP, de Koning PJH, Nederveen AJ, van der Geest RJ.
    Med Phys; 2017 Oct 01; 44(10):5244-5259. PubMed ID: 28715090
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  • 15. Fast segmentation of the femoral arteries from 3D MR images: A tool for rapid assessment of peripheral arterial disease.
    Chen W, Xu J, Chiu B.
    Med Phys; 2015 May 01; 42(5):2431-48. PubMed ID: 25979037
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  • 16. 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 01; 61(1):86-101. PubMed ID: 24402898
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  • 17. A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images.
    Wang J, Yu F, Zhang M, Lu J, Qian Z.
    Comput Med Imaging Graph; 2024 Sep 01; 116():102402. PubMed ID: 38810486
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  • 18. A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images.
    Zhou R, Guo F, Azarpazhooh MR, Spence JD, Ukwatta E, Ding M, Fenster A.
    IEEE Trans Med Imaging; 2020 Sep 01; 39(9):2844-2855. PubMed ID: 32142426
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  • 20. 3D reconstruction of a carotid bifurcation from 2D transversal ultrasound images.
    Yeom E, Nam KH, Jin C, Paeng DG, Lee SJ.
    Ultrasonics; 2014 Dec 01; 54(8):2184-92. PubMed ID: 24965564
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