• DocumentCode
    2570515
  • Title

    Non-invasive indicators of pulmonary hypertension from pulmonary veins quantification in sickle cell disease

  • Author

    Jajamovich, Guido H. ; Pamulapati, Vivek ; Alam, Shoaib ; Mehari, Alem ; Kato, Gregory J. ; Wood, Bradford J. ; Linguraru, Marius George

  • Author_Institution
    Electr. Eng. Dept., Columbia Univ., New York, NY, USA
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    840
  • Lastpage
    843
  • Abstract
    Pulmonary hypertension is a common cause of death among patients with sickle cell disease. This retrospective study investigates the use of pulmonary vein analysis to diagnose pulmonary hypertension non-invasively with CT-Angiography images. Ten images from patients with pulmonary hypertension were matched with controls. An adaptive fast marching approach is applied in order to segment the left atrium and pulmonary veins, followed by a geodesic active contour to isolate the atrium. The ostia of the pulmonary veins are determined by computing the skeleton and finding the intersections with the contour of the atrium. 96.3% of the ostia are identified correctly by the technique. The diameters of the veins are then measured and their sum is computed at fixed distances from the ostium. These quantitative indicators are significantly larger in patients as compared to controls (p-values <; 0.01). Furthermore, the non-invasive estimations of the method present a high and significant correlation with the clinical hemodynamics measurements obtained from right heart catheterization.
  • Keywords
    angiocardiography; blood vessels; catheters; cellular biophysics; computerised tomography; diseases; estimation theory; haemodynamics; image segmentation; medical image processing; adaptive fast marching approach; clinical hemodynamics measurements; computerised tomography-angiography images; geodesic active contour; left atrium segmentation; noninvasive estimations; noninvasive indicators; pulmonary hypertension; pulmonary vein analysis; pulmonary veins quantification; right heart catheterization; sickle cell disease; Arteries; Biomedical imaging; Heart; Hemodynamics; Hypertension; Image segmentation; Veins; Pulmonary hypertension; pulmonary veins; quantification; segmentation; sickle cell disease;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235679
  • Filename
    6235679