Advanced

Automatic segmentation of myocardium at risk from contrast enhanced SSFP CMR: validation against expert readers and SPECT.

Tufvesson, Jane LU ; Carlsson, Marcus LU ; Aletras, Anthony LU ; Engblom, Henrik LU ; Deux, Jean-François; Koul, Sasha LU ; Sörensson, Peder; Pernow, John; Atar, Dan and Erlinge, David LU , et al. (2016) In BMC Medical Imaging 16(1).
Abstract
Efficacy of reperfusion therapy can be assessed as myocardial salvage index (MSI) by determining the size of myocardium at risk (MaR) and myocardial infarction (MI), (MSI = 1-MI/MaR). Cardiovascular magnetic resonance (CMR) can be used to assess MI by late gadolinium enhancement (LGE) and MaR by either T2-weighted imaging or contrast enhanced SSFP (CE-SSFP). Automatic segmentation algorithms have been developed and validated for MI by LGE as well as for MaR by T2-weighted imaging. There are, however, no algorithms available for CE-SSFP. Therefore, the aim of this study was to develop and validate automatic segmentation of MaR in CE-SSFP.
Please use this url to cite or link to this publication:
author
, et al. (More)
(Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
BMC Medical Imaging
volume
16
issue
1
publisher
BioMed Central
external identifiers
  • PMID:26946139
  • Scopus:84959304718
  • WOS:000371285800001
ISSN
1471-2342
DOI
10.1186/s12880-016-0124-1
language
English
LU publication?
yes
id
c6b390fe-2429-48a7-8545-19d22855d5dd (old id 8856128)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/26946139?dopt=Abstract
date added to LUP
2016-03-16 14:48:42
date last changed
2016-11-14 09:42:42
@misc{c6b390fe-2429-48a7-8545-19d22855d5dd,
  abstract     = {Efficacy of reperfusion therapy can be assessed as myocardial salvage index (MSI) by determining the size of myocardium at risk (MaR) and myocardial infarction (MI), (MSI = 1-MI/MaR). Cardiovascular magnetic resonance (CMR) can be used to assess MI by late gadolinium enhancement (LGE) and MaR by either T2-weighted imaging or contrast enhanced SSFP (CE-SSFP). Automatic segmentation algorithms have been developed and validated for MI by LGE as well as for MaR by T2-weighted imaging. There are, however, no algorithms available for CE-SSFP. Therefore, the aim of this study was to develop and validate automatic segmentation of MaR in CE-SSFP.},
  author       = {Tufvesson, Jane and Carlsson, Marcus and Aletras, Anthony and Engblom, Henrik and Deux, Jean-François and Koul, Sasha and Sörensson, Peder and Pernow, John and Atar, Dan and Erlinge, David and Arheden, Håkan and Heiberg, Einar},
  issn         = {1471-2342},
  language     = {eng},
  number       = {1},
  publisher    = {ARRAY(0x8d10b88)},
  series       = {BMC Medical Imaging},
  title        = {Automatic segmentation of myocardium at risk from contrast enhanced SSFP CMR: validation against expert readers and SPECT.},
  url          = {http://dx.doi.org/10.1186/s12880-016-0124-1},
  volume       = {16},
  year         = {2016},
}