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Automatic segmentation of myocardium at risk in T2-weighted cardiovascular magnetic resonance

✍ Scribed by Jane Sjogren; Joey F Ubachs; Henrik Engblom; Marcus Carlsson; Hakan Arheden; Einar Heiberg

Publisher
BioMed Central
Year
2012
Tongue
English
Weight
87 KB
Volume
14
Category
Article
ISSN
1097-6647

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✦ Synopsis

This study presents a newly developed automatic method for segmentation of myocardium at risk using a priori knowledge on perfusion territories. The new automatic method shows a low bias and high correlation to manual delineation and a bias and correlation closer to inter observer variability for manual delineation than three existing threshold methods, 2SD from remote, FWHM and Otsu.

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Ubachs et al.: Myocardium at risk by magnetic resonance imaging: head-to-head comparison of T2-weighted imaging and early gadolinium enhanced steady state free precession.