@InProceedings{RodriguesSouRitFraLot:2017:CoCaAr,
               author = "Rodrigues, L{\'{\i}}via Maria de Aguiar and Souza, Roberto 
                         Medeiros de and Rittner, Let{\'{\i}}cia and Frayne, Richard and 
                         Lotufo, Roberto de Alencar",
          affiliation = "{University of Campinas} and {University of Calgary} and 
                         {University of Campinas} and {University of Calgary} and 
                         {University of Campinas}",
                title = "Common Carotid Artery Lumen Segmentation from Cardiac 
                         Cycle-resolved Cine Fast Spin Echo Magnetic Resonance Imaging",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "max-tree, watershed transform, carotid artery imaging, carotid 
                         artery segmentation, carotid artery distensibility, cine FSE.",
             abstract = "Atherosclerosis is a disease responsible for millions of deaths 
                         each year, primarily due to heart attack and stroke. Magnetic 
                         resonance (MR) imaging is a non-invasive method that can be used 
                         to analyze the carotid artery and detect signs of atherosclerosis. 
                         Most MR methods acquire high contrast, static images. These 
                         methods, however, are sensitive to artifacts from cardiac motion, 
                         produce time-averaged images, and do not allow for carotid 
                         distensibility analysis. Carotid distensibility is an important, 
                         systematic measure of vascular health. Cine fast spin echo (FSE) 
                         is a new MR imaging that can obtain dynamic MR data (i.e., cardiac 
                         phase-resolved datasets). Dynamic imaging, however, comes at the 
                         cost of lower spatial resolution and signal-to-noise ratio, making 
                         these data potentially more difficult to segment. This paper 
                         introduces a semi-automated segmentation method that segments the 
                         common carotid artery (CCA) lumen across the cardiac cycle from 
                         dynamic MR images. To the best of our knowledge, this work is the 
                         first proposed technique for segmenting cardiac cycle-resolved 
                         cine FSE images. It combines a priori knowledge about the size and 
                         shape of the CCA, with the max-tree data structure, the tie-zone 
                         watershed transform (using identified internal and external 
                         markers) and supervised classification, to segment the carotid 
                         artery wall-lumen boundary. The user has to select only a seed 
                         point (centred in the carotid artery lumen). Technique performance 
                         was assessed using forty-five cine FSE data sets, each consisting 
                         of images reconstructed at sixteen temporal bins across the 
                         cardiac cycle. The automatic segmentation results were compared 
                         against the consensus of three different manual segmentation 
                         results. Our technique achieved an average Dice coefficient, 
                         sensitivity and false positive rate of 0.928+/-0.031 (mean 
                         standard deviation), 0.915+/-0.037 and 0.056+/- 0.049, 
                         respectively. Our method achieved higher agreement versus the 
                         consensus of the three manual segmentations than the individual 
                         manual segmentations versus the consensus.",
  conference-location = "Niter{\'o}i, RJ, Brazil",
      conference-year = "17-20 Oct. 2017",
                  doi = "10.1109/SIBGRAPI.2017.65",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2017.65",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PFQC98",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3PFQC98",
           targetfile = "common-carotid-artery.pdf",
        urlaccessdate = "2024, May 02"
}