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Automated interpretation of cardiac scintigrams

Richter, J; Ericsson, Anders LU ; Åström, Karl LU ; Kahl, Fredrik LU and Edenbrant, L (2003) 13th Scandinavian Conference, SCIA 2003 In Lecture Notes in Computer Science (Image Analysis, Proceedings) 2749. p.565-570
Abstract
The purpose of this study was to develop an automated method for the segmentation of the heart in a 3-D cardiac scintigram. This is immediately useful for eliminating a manual step in a previous version of a decision support system. The automatic segmentation method uses a statistical 3D-model, inspired by Active Shape, which locates the base and apex automatically from a cardiac scintigram. Key features of this algorithm are that it can handle cases where there is no or very little activity in the apex and also if there axe additional parts of the heart where there is little activity. The algorithm has been tested on approximately 2000 cardiac scintigrams.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Lecture Notes in Computer Science (Image Analysis, Proceedings)
volume
2749
pages
565 - 570
publisher
Springer
conference name
13th Scandinavian Conference, SCIA 2003
external identifiers
  • wos:000185178400075
  • scopus:35248869361
ISSN
1611-3349
0302-9743
ISBN
978-3-540-40601-3
language
English
LU publication?
yes
id
02c847a0-0b14-43bd-8869-964d0e3e4e88 (old id 301720)
alternative location
http://www.springerlink.com/content/9ej32lum3pfg/
date added to LUP
2007-09-20 15:55:23
date last changed
2018-01-07 06:01:26
@inproceedings{02c847a0-0b14-43bd-8869-964d0e3e4e88,
  abstract     = {The purpose of this study was to develop an automated method for the segmentation of the heart in a 3-D cardiac scintigram. This is immediately useful for eliminating a manual step in a previous version of a decision support system. The automatic segmentation method uses a statistical 3D-model, inspired by Active Shape, which locates the base and apex automatically from a cardiac scintigram. Key features of this algorithm are that it can handle cases where there is no or very little activity in the apex and also if there axe additional parts of the heart where there is little activity. The algorithm has been tested on approximately 2000 cardiac scintigrams.},
  author       = {Richter, J and Ericsson, Anders and Åström, Karl and Kahl, Fredrik and Edenbrant, L},
  booktitle    = {Lecture Notes in Computer Science (Image Analysis, Proceedings)},
  isbn         = {978-3-540-40601-3},
  issn         = {1611-3349},
  language     = {eng},
  pages        = {565--570},
  publisher    = {Springer},
  title        = {Automated interpretation of cardiac scintigrams},
  volume       = {2749},
  year         = {2003},
}