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
Link To Document :
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