Automated interpretation of cardiac scintigrams
(2003) 13th Scandinavian Conference, SCIA 2003 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/301720
- author
- Richter, J ; Ericsson, Anders LU ; Åström, Karl LU ; Kahl, Fredrik LU and Edenbrant, L
- organization
- publishing date
- 2003
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Lecture Notes in Computer Science (Image Analysis, Proceedings)
- volume
- 2749
- pages
- 565 - 570
- publisher
- Springer
- conference name
- 13th Scandinavian Conference, SCIA 2003
- conference location
- Halmstad, Sweden
- conference dates
- 2003-06-29 - 2003-07-02
- 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
- 2016-04-01 12:17:24
- date last changed
- 2024-01-08 15:07:08
@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}}, url = {{http://www.springerlink.com/content/9ej32lum3pfg/}}, volume = {{2749}}, year = {{2003}}, }