Title :
Centerline calculation for extracting abdominal aorta in 3-D MRI images
Author :
Babin, Danilo ; Vansteenkiste, Elias ; Pizurica, Aleksandra ; Philips, Wilfried
Author_Institution :
Dept. of Telecommun. & Inf. Process., Ghent Univ., Ghent, Belgium
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
The examination of abdominal aorta is an effective way to diagnose many cardiovascular diseases. Aortic stiffness measured by pulse wave velocity (PWV) calculation is a good estimate of overall cardiovascular health. Calculation of pulse wave velocity requires the length of abdominal aorta as an input parameter, while the structure of abdominal aorta can be used for diagnostic purposes. For the sake of non-invasive diagnostics, non-contrasted MRI images of aorta were used. Due to the “black-blood” imaging, a lot of artifacts are present and a robust centerline extraction method is needed. In this research we develop a novel graph-based method for extracting centerlines of abdominal aorta for length calculation. Our method is robust to artifacts and noise and applicable to any imaging modality.
Keywords :
biomechanics; biomedical MRI; elasticity; feature extraction; haemodynamics; medical image processing; spatial variables measurement; 3D MRI images; PWV calculation; abdominal aorta extraction; abdominal aorta length; abdominal aorta structure; aortic stiffness; black blood imaging; cardiovascular diseases; centerline calculation; noncontrasted MRI images; noninvasive diagnostics; overall cardiovascular health; pulse wave velocity; Biomedical imaging; Image segmentation; Length measurement; Magnetic resonance imaging; Robustness; Algorithms; Aorta, Abdominal; Artifacts; Humans; Imaging, Three-Dimensional; Magnetic Resonance Imaging;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346839