DocumentCode
178553
Title
A Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients
Author
Landgren, M. ; Overgaard, N.C. ; Heyden, A.
Author_Institution
Centre for Math. Sci., Lund Univ., Lund, Sweden
fYear
2014
fDate
24-28 Aug. 2014
Firstpage
3398
Lastpage
3403
Abstract
Patients waiting for heart transplantation due to a failing heart can get a left ventricular assist device (LVAD) implanted through open chest surgery. The device consists of a pump that pumps blood from the left ventricle into the aorta. To get the correct rotation speed of the pump, the physicians consider a number of measurements as well as a sequence of echocardiographic images. The important information obtained from the images is the shape of the inter-ventricular septum. For instance, if the septum bulges towards the left ventricle the speed is too high and it might harm the right ventricular function. To get a measure of the shape of the septum, which can be incorporated in a decision support system, we perform a segmentation of the septum using a shortest path method. To reduce user interaction, the user only needs to annotate two anchor points in the first frame. They mark the endpoints of the septum and they are tracked through the sequence with our tracking algorithm. After the segmentation the septum is divided into two regions, the one closest to the right ventricle and the one closest to the left ventricle, and the desired measure is the difference between the areas of these regions divided by the total septum area. The performance of the segmentation algorithm is acceptable and the obtained septum measure corresponds in most cases to the assessments from a physician.
Keywords
decision support systems; echocardiography; image segmentation; image sequences; medical image processing; LVAD patients; decision support system; echocardiographic Images; heart transplantation; image sequence; inter-ventricular septum; left ventricular assist device; open chest surgery; septum shape; shortest path segmentation; Echocardiography; Heart; Image edge detection; Image segmentation; Noise; Shape; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location
Stockholm
ISSN
1051-4651
Type
conf
DOI
10.1109/ICPR.2014.585
Filename
6977297
Link To Document