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Time resolved three-dimensional automated segmentation of the left ventricle

Heiberg, Einar LU ; Wigstrom, L; Carlsson, Marcus LU ; Bolger, A and Karlsson, M (2005) Computers in Cardiology, 2005 In Computers in Cardiology 2005 32. p.599-602
Abstract
This paper describes a robust approach for multimodality segmentation of the cardiac left ventricle. The method is based on the concept of deformable models, but extended with an enhanced and fast edge detection scheme that includes temporal information, and anatomical a priori information. The algorithm is implemented with a fast numeric scheme for solving energy minimization, and efficient filter nets for fast edge detection. This allows clinically applicable time for a whole time resolved 3D cardiac data set to be achieved on a standard desktop computer. The algorithm is validated on images acquired using MRI gradient echo, MRI (SSFP) images, and Cardiac CT The complete algorithm is implemented into a software package freely available... (More)
This paper describes a robust approach for multimodality segmentation of the cardiac left ventricle. The method is based on the concept of deformable models, but extended with an enhanced and fast edge detection scheme that includes temporal information, and anatomical a priori information. The algorithm is implemented with a fast numeric scheme for solving energy minimization, and efficient filter nets for fast edge detection. This allows clinically applicable time for a whole time resolved 3D cardiac data set to be achieved on a standard desktop computer. The algorithm is validated on images acquired using MRI gradient echo, MRI (SSFP) images, and Cardiac CT The complete algorithm is implemented into a software package freely available for non commercial research at http://segment.heiberg.se (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
cardiac left ventricle, time resolved three-dimensional automated segmentation, multimodality segmentation, time resolved 3D cardiac data set, edge detection scheme, MRI gradient echo image, standard desktop computer, cardiac CT
in
Computers in Cardiology 2005
volume
32
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Computers in Cardiology, 2005
external identifiers
  • wos:000236378300151
  • scopus:33846196147
ISBN
0-7803-9337-6
DOI
10.1109/CIC.2005.1588172
language
English
LU publication?
yes
id
050e25fe-58bb-4444-a31c-22f8de6f5147 (old id 615332)
alternative location
http://www.cinc.org/archives/2005/pdf/0599.pdf
date added to LUP
2007-11-25 11:32:25
date last changed
2017-07-30 05:02:52
@inproceedings{050e25fe-58bb-4444-a31c-22f8de6f5147,
  abstract     = {This paper describes a robust approach for multimodality segmentation of the cardiac left ventricle. The method is based on the concept of deformable models, but extended with an enhanced and fast edge detection scheme that includes temporal information, and anatomical a priori information. The algorithm is implemented with a fast numeric scheme for solving energy minimization, and efficient filter nets for fast edge detection. This allows clinically applicable time for a whole time resolved 3D cardiac data set to be achieved on a standard desktop computer. The algorithm is validated on images acquired using MRI gradient echo, MRI (SSFP) images, and Cardiac CT The complete algorithm is implemented into a software package freely available for non commercial research at http://segment.heiberg.se},
  author       = {Heiberg, Einar and Wigstrom, L and Carlsson, Marcus and Bolger, A and Karlsson, M},
  booktitle    = {Computers in Cardiology 2005},
  isbn         = {0-7803-9337-6},
  keyword      = {cardiac left ventricle,time resolved three-dimensional automated segmentation,multimodality segmentation,time resolved 3D cardiac data set,edge detection scheme,MRI gradient echo image,standard desktop computer,cardiac CT},
  language     = {eng},
  pages        = {599--602},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Time resolved three-dimensional automated segmentation of the left ventricle},
  url          = {http://dx.doi.org/10.1109/CIC.2005.1588172},
  volume       = {32},
  year         = {2005},
}