Automated segmentation and reconstruction of patient-specific cardiac anatomy and pathology from in vivo MRI

This paper presents an automated method to segment left ventricle (LV) tissues from functional and delayed-enhancement (DE) cardiac magnetic resonance imaging (MRI) scans using a sequential multi-step approach. First, a region of interest (ROI) is computed to create a subvolume around the LV using m...

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Veröffentlicht in:	Measurement science & technology 2012-12, Vol.23 (12), p.125405-1-13
Hauptverfasser:	Ringenberg, Jordan, Deo, Makarand, Devabhaktuni, Vijay, Filgueiras-Rama, David, Pizarro, Gonzalo, Ibañez, Borja, Berenfeld, Omer, Boyers, Pamela, Gold, Jeffrey
Format:	Artikel
Sprache:	eng
Schlagworte:	Automated Contours delayed enhancement MRI image-based modeling ischemic heart disease Magnetic resonance imaging Mathematical models Patients Reconstruction Segmentation
Online-Zugang:	Volltext
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