An automatic method for quantification of myocardium at risk from myocardial perfusion SPECT in patients with acute coronary occlusion.
Fransson, Helen LU ; Engblom, Henrik LU ; Hedström, Erik LU
; Bouvier, Frederic
; Sörensson, Peder
; Pernow, John
; Arheden, Håkan
LU
and Heiberg, Einar
LU
(2010)
In Journal of Nuclear Cardiology
17.
p.831-840
- Abstract
- BACKGROUND: In order to determine myocardial salvage, accurate quantification of myocardium at risk (MaR) is necessary. We present a validated novel automatic segmentation algorithm for quantification of MaR by myocardial perfusion SPECT (MPS) in patients with acute coronary occlusion. METHODS AND RESULTS: Twenty-nine patients with coronary occlusion were injected with a perfusion tracer before reperfusion, and underwent rest MPS within 4 hours. The MaR was quantified using the proposed algorithm (Segment software), the software Quantitative Perfusion SPECT (QPS) and by manual segmentation. The Segment MaR algorithm used a threshold of 55% of maximal counts and an a priori model based on normal coronary artery perfusion territories. The... (More)
- BACKGROUND: In order to determine myocardial salvage, accurate quantification of myocardium at risk (MaR) is necessary. We present a validated novel automatic segmentation algorithm for quantification of MaR by myocardial perfusion SPECT (MPS) in patients with acute coronary occlusion. METHODS AND RESULTS: Twenty-nine patients with coronary occlusion were injected with a perfusion tracer before reperfusion, and underwent rest MPS within 4 hours. The MaR was quantified using the proposed algorithm (Segment software), the software Quantitative Perfusion SPECT (QPS) and by manual segmentation. The Segment MaR algorithm used a threshold of 55% of maximal counts and an a priori model based on normal coronary artery perfusion territories. The MaR was 30 +/- 10% left ventricular mass (%LVM) by manual segmentation, 31 +/- 12%LVM by Segment, and 36 +/- 14%LVM by QPS. There was a good agreement between automatic and manual segmentation for both of the algorithms with a lower bias for Segment (.8 +/- 4.0%LVM) than for QPS (5.8 +/- 5.8%LVM) when compared to manual segmentation. CONCLUSIONS: The Segment MaR algorithm can be used to correctly assess MaR from MPS images in patients with acute coronary occlusion without access to tracer-specific normal database. The MaR in relation to final infarct size enables determination of myocardial salvage. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1610619
- author
- Fransson, Helen
LU
; Engblom, Henrik
LU
; Hedström, Erik
LU
; Bouvier, Frederic
; Sörensson, Peder
; Pernow, John
; Arheden, Håkan
LU
and Heiberg, Einar
LU
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Nuclear Cardiology
- volume
- 17
- pages
- 831 - 840
- publisher
- Springer
- external identifiers
-
- wos:000281947800012
- pmid:20440591
- scopus:77956959324
- pmid:20440591
- ISSN
- 1532-6551
- DOI
- 10.1007/s12350-010-9237-z
- language
- English
- LU publication?
- yes
- id
- bc1cd03a-099b-4df2-b44b-97cdf6a51dac (old id 1610619)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/20440591?dopt=Abstract
- date added to LUP
- 2016-04-04 09:36:42
- date last changed
- 2025-10-14 10:47:58
@article{bc1cd03a-099b-4df2-b44b-97cdf6a51dac,
abstract = {{BACKGROUND: In order to determine myocardial salvage, accurate quantification of myocardium at risk (MaR) is necessary. We present a validated novel automatic segmentation algorithm for quantification of MaR by myocardial perfusion SPECT (MPS) in patients with acute coronary occlusion. METHODS AND RESULTS: Twenty-nine patients with coronary occlusion were injected with a perfusion tracer before reperfusion, and underwent rest MPS within 4 hours. The MaR was quantified using the proposed algorithm (Segment software), the software Quantitative Perfusion SPECT (QPS) and by manual segmentation. The Segment MaR algorithm used a threshold of 55% of maximal counts and an a priori model based on normal coronary artery perfusion territories. The MaR was 30 +/- 10% left ventricular mass (%LVM) by manual segmentation, 31 +/- 12%LVM by Segment, and 36 +/- 14%LVM by QPS. There was a good agreement between automatic and manual segmentation for both of the algorithms with a lower bias for Segment (.8 +/- 4.0%LVM) than for QPS (5.8 +/- 5.8%LVM) when compared to manual segmentation. CONCLUSIONS: The Segment MaR algorithm can be used to correctly assess MaR from MPS images in patients with acute coronary occlusion without access to tracer-specific normal database. The MaR in relation to final infarct size enables determination of myocardial salvage.}},
author = {{Fransson, Helen and Engblom, Henrik and Hedström, Erik and Bouvier, Frederic and Sörensson, Peder and Pernow, John and Arheden, Håkan and Heiberg, Einar}},
issn = {{1532-6551}},
language = {{eng}},
pages = {{831--840}},
publisher = {{Springer}},
series = {{Journal of Nuclear Cardiology}},
title = {{An automatic method for quantification of myocardium at risk from myocardial perfusion SPECT in patients with acute coronary occlusion.}},
url = {{https://lup.lub.lu.se/search/files/5370340/1638611.pdf}},
doi = {{10.1007/s12350-010-9237-z}},
volume = {{17}},
year = {{2010}},
}