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Semi-automatic segmentation of myocardium at risk from contrast enhanced SSFP images - validation against manual delineation and SPECT
- Source :
- Journal of Cardiovascular Magnetic Resonance
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- Background The development of treatments to limit myocardial injury in patients with acute STEMI is dependent on methods that accurately determine the amount of mycoardium at risk (MaR). Both T2-weighted imaging and contrast enhanced SSFP (CE-SSFP) have been validated against SPECT and can determine the MaR by CMR one week after an infarct. CE-SSFP has recently been used in two multi-center studies 1,2 . An automatic algorithm for quantification of MaR from T2-weighted images has previously been described but not been tested in CE-SSFP. The aim of this study was to further develop and validate this automatic method for CE-SSFP. Methods
- Subjects :
- Medicine(all)
medicine.medical_specialty
Radiological and Ultrasound Technology
business.industry
media_common.quotation_subject
Steady-state free precession imaging
computer.software_genre
Semi automatic segmentation
Walking Poster Presentation
Myocardium at risk
Left ventricular mass
medicine
Contrast (vision)
Radiology, Nuclear Medicine and imaging
In patient
Data mining
Cardiology and Cardiovascular Medicine
Nuclear medicine
business
computer
Acute STEMI
media_common
Angiology
Subjects
Details
- ISSN :
- 1532429X
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Journal of Cardiovascular Magnetic Resonance
- Accession number :
- edsair.doi.dedup.....4cbfb8ba2b76af96c91e2c6888904fe6
- Full Text :
- https://doi.org/10.1186/1532-429x-17-s1-q127