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:
https://lup.lub.lu.se/record/3994481
- author
- Landgren, Matilda
LU
; Overgaard, Niels Christian
LU
and Heyden, Anders
LU
- organization
- publishing date
- 2013
- 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 and Haynor, David R.
- volume
- 8669
- article number
- 866945
- 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
- 0277-786X
- 1996-756X
- 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
- 2016-04-01 09:57:20
- date last changed
- 2024-03-09 09:42:01
@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 = {{Medical Imaging 2013: Image Processing}},
editor = {{Ourselin, Sebastien and Haynor, David R.}},
isbn = {{9780819494436}},
issn = {{0277-786X}},
keywords = {{segmentation; region based snake; ultrasound; left heart ventricle}},
language = {{eng}},
publisher = {{SPIE}},
series = {{Proceeding of 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}},
doi = {{10.1117/12.2001284}},
volume = {{8669}},
year = {{2013}},
}