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A Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients

Landgren, Matilda LU ; Overgaard, Niels Christian LU and Heyden, Anders LU (2014) 22nd International Conference on Pattern Recognition (ICPR 2014) In Pattern Recognition (ICPR), 2014 22nd International Conference on p.3398-3403
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... (More)
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. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Pattern Recognition (ICPR), 2014 22nd International Conference on
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
22nd International Conference on Pattern Recognition (ICPR 2014)
external identifiers
  • wos:000359818003089
  • scopus:84919929934
ISSN
1051-4651
DOI
10.1109/ICPR.2014.585
language
English
LU publication?
yes
id
79343b95-f873-4db6-b32c-fafdd7c26c6c (old id 4882857)
alternative location
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977297
date added to LUP
2015-02-20 16:07:10
date last changed
2017-01-01 05:28:17
@inproceedings{79343b95-f873-4db6-b32c-fafdd7c26c6c,
  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.},
  author       = {Landgren, Matilda and Overgaard, Niels Christian and Heyden, Anders},
  booktitle    = {Pattern Recognition (ICPR), 2014 22nd International Conference on},
  issn         = {1051-4651},
  language     = {eng},
  pages        = {3398--3403},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {A Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients},
  url          = {http://dx.doi.org/10.1109/ICPR.2014.585},
  year         = {2014},
}