scholarly journals Three-dimensional left ventricular segmentation from magnetic resonance imaging for patient-specific modelling purposes

EP Europace ◽  
2014 ◽  
Vol 16 (suppl 4) ◽  
pp. iv96-iv101 ◽  
Author(s):  
E. G. Caiani ◽  
A. Colombo ◽  
M. Pepi ◽  
C. Piazzese ◽  
F. Maffessanti ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Three Dimensional ◽  
Left Ventricular ◽  
Patient Specific ◽  
Resonance Imaging

Magnetic Resonance Imaging–Based Three Dimensional Patient-Specific Reconstruction of Uterine Fibromatosis: Impact on Surgery

2017 ◽  
Vol 33 (4) ◽  
pp. 138-144 ◽  
Author(s):  
Andrea Giannini ◽  
Veronica Iodice ◽  
Eugenia Picano ◽  
Eleonora Russo ◽  
Virna Zampa ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Three Dimensional ◽  
Patient Specific ◽  
Resonance Imaging

scholarly journals Open-Source Routines for Building Personalized Left Ventricular Models From Cardiac Magnetic Resonance Imaging Data

2019 ◽  
Vol 142 (2) ◽  
Author(s):  
Thien-Khoi N. Phung ◽  
Christopher D. Waters ◽  
Jeffrey W. Holmes
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Geometric Model ◽  
Left Ventricular ◽  
Patient Specific ◽  
Imaging Data ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Data ◽  
Multiple Imaging ◽  
Magnetic Resonance Imaging Mri

Abstract Creating patient-specific models of the heart is a promising approach for predicting outcomes in response to congenital malformations, injury, or disease, as well as an important tool for developing and customizing therapies. However, integrating multimodal imaging data to construct patient-specific models is a nontrivial task. Here, we propose an approach that employs a prolate spheroidal coordinate system to interpolate information from multiple imaging datasets and map those data onto a single geometric model of the left ventricle (LV). We demonstrate the mapping of the location and transmural extent of postinfarction scar segmented from late gadolinium enhancement (LGE) magnetic resonance imaging (MRI), as well as mechanical activation calculated from displacement encoding with stimulated echoes (DENSE) MRI. As a supplement to this paper, we provide MATLAB and Python versions of the routines employed here for download from SimTK.

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