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Segmentation of the Left Heart Ventricle in Ultrasound Images Using a Region Based Snake

Landgren, Matilda LU ; Overgaard, Niels Christian LU and Heyden, Anders LU (2013) SPIE Medical Imaging, 2013 In Proceeding of SPIE 8669.
Abstract
Ultrasound imaging of the heart is a non-invasive method widely used for different applications. One of them is to measure the blood volume in the left ventricle at different stages of the heart cycle. This demands a proper segmentation of the left ventricle and a (semi-) automated method would decrease intra-variability as well as workload. This paper presents a semi-automated segmentation method that uses a region based snake. To avoid any unwanted concavities in the segmentations due to the cardiac valve we use two anchor points in the snake that are located to the left and to the right of the cardiac valve respectively. For the possibility of segmentations in different stages of the heart cycle these anchor points are tracked through the... (More)
Ultrasound imaging of the heart is a non-invasive method widely used for different applications. One of them is to measure the blood volume in the left ventricle at different stages of the heart cycle. This demands a proper segmentation of the left ventricle and a (semi-) automated method would decrease intra-variability as well as workload. This paper presents a semi-automated segmentation method that uses a region based snake. To avoid any unwanted concavities in the segmentations due to the cardiac valve we use two anchor points in the snake that are located to the left and to the right of the cardiac valve respectively. For the possibility of segmentations in different stages of the heart cycle these anchor points are tracked through the cycle. This tracking is based both on the resemblance of a region around the anchor points and a prior model of the movement in the y-direction of the anchor points. The region based snake functional is the sum of two terms, a regularizing term and a data term. It is our data term that is region based since it involves the integration of a two-dimensional subdomain of the image plane. A segmentation of the left ventricle is obtained by minimizing the functional which is done by continuously reshaping the contour until the optimal shape and size is obtained. The developed method shows promising results. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
segmentation, region based snake, ultrasound, left heart ventricle
host publication
Medical Imaging 2013: Image Processing
series title
Proceeding of SPIE
editor
Ourselin, Sebastien; Haynor, David R.; and
volume
8669
pages
9 pages
publisher
SPIE
conference name
SPIE Medical Imaging, 2013
conference location
Lake Buena Vista (Orlando area), Florida, United States
conference dates
2013-02-09 - 2013-02-14
external identifiers
  • wos:000322020600144
  • scopus:84878323705
ISSN
1996-756X
0277-786X
ISBN
9780819494436
DOI
10.1117/12.2001284
language
English
LU publication?
yes
id
cf5ba068-47ce-4a65-92f0-492b40d42710 (old id 3994481)
date added to LUP
2013-09-02 10:38:48
date last changed
2019-03-12 01:04:22
@inproceedings{cf5ba068-47ce-4a65-92f0-492b40d42710,
  abstract     = {Ultrasound imaging of the heart is a non-invasive method widely used for different applications. One of them is to measure the blood volume in the left ventricle at different stages of the heart cycle. This demands a proper segmentation of the left ventricle and a (semi-) automated method would decrease intra-variability as well as workload. This paper presents a semi-automated segmentation method that uses a region based snake. To avoid any unwanted concavities in the segmentations due to the cardiac valve we use two anchor points in the snake that are located to the left and to the right of the cardiac valve respectively. For the possibility of segmentations in different stages of the heart cycle these anchor points are tracked through the cycle. This tracking is based both on the resemblance of a region around the anchor points and a prior model of the movement in the y-direction of the anchor points. The region based snake functional is the sum of two terms, a regularizing term and a data term. It is our data term that is region based since it involves the integration of a two-dimensional subdomain of the image plane. A segmentation of the left ventricle is obtained by minimizing the functional which is done by continuously reshaping the contour until the optimal shape and size is obtained. The developed method shows promising results.},
  author       = {Landgren, Matilda and Overgaard, Niels Christian and Heyden, Anders},
  booktitle    = {Proceeding of SPIE},
  editor       = {Ourselin, Sebastien and Haynor, David R.},
  isbn         = {9780819494436},
  issn         = {1996-756X},
  keyword      = {segmentation,region based snake,ultrasound,left heart ventricle},
  language     = {eng},
  location     = {Lake Buena Vista (Orlando area), Florida, United States},
  pages        = {9},
  publisher    = {SPIE},
  title        = {Segmentation of the Left Heart Ventricle in Ultrasound Images Using a Region Based Snake},
  url          = {http://dx.doi.org/10.1117/12.2001284},
  volume       = {8669},
  year         = {2013},
}