Improving full-cardiac cycle strain estimation from tagged CMR by accurate modeling of 3D image appearance characteristics

To improve the tagged cardiac magnetic resonance (CMR) image analysis, we propose a 3D (2D space + 1D time) energy minimization framework, based on learning first- and second-order visual appearance models from voxel intensities. The former model approximates the marginal empirical distribution of i...

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Библиографические подробности
Главные авторы: Matt Nitzken, Garth M. Beache, Marwa Ismail, Georgy Gimel’farb, Ayman El-Baz
Формат: Artigo
Язык:Inglês
Опубликовано: SpringerOpen 2016-03-01
Серии:The Egyptian Journal of Radiology and Nuclear Medicine
Предметы:
Tagged CMR image
MGRF
LCDG
Strain parameters
Online-ссылка:http://www.sciencedirect.com/science/article/pii/S0378603X15002442
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