Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0093747
Title: Automatic 4D reconstruction of patient-specific cardiac mesh with 1-to-1 vertex correspondence from segmented contours lines
Authors: Lim C.W.
Su Y.
Yeo S.Y.
Ng G.M.
Nguyen V.T.
Zhong L. 
Tan R.S. 
Poh K.K. 
Chai P. 
Keywords: 1 to 1 vertex correspondence
algorithm
analytical parameters
article
automatic four dimensional reconstruction
cardiac imaging
endocardium
heart cycle
membrane structure
nuclear magnetic resonance imaging
patient specific cardiac mesh model
simulation
three dimensional imaging
tree based connectivity
algorithm
anatomy and histology
audiovisual equipment
automation
biological model
heart
human
nuclear magnetic resonance imaging
three dimensional imaging
time
Algorithms
Automation
Heart
Humans
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Models, Anatomic
Patient-Specific Modeling
Time Factors
Issue Date: 2014
Citation: Lim C.W., Su Y., Yeo S.Y., Ng G.M., Nguyen V.T., Zhong L., Tan R.S., Poh K.K., Chai P. (2014). Automatic 4D reconstruction of patient-specific cardiac mesh with 1-to-1 vertex correspondence from segmented contours lines. PLoS ONE 9 (4) : e93747. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0093747
Abstract: We propose an automatic algorithm for the reconstruction of patient-specific cardiac mesh models with 1-to-1 vertex correspondence. In this framework, a series of 3D meshes depicting the endocardial surface of the heart at each time step is constructed, based on a set of border delineated magnetic resonance imaging (MRI) data of the whole cardiac cycle. The key contribution in this work involves a novel reconstruction technique to generate a 4D (i.e., spatialtemporal) model of the heart with 1-to-1 vertex mapping throughout the time frames. The reconstructed 3D model from the first time step is used as a base template model and then deformed to fit the segmented contours from the subsequent time steps. A method to determine a tree-based connectivity relationship is proposed to ensure robust mapping during mesh deformation. The novel feature is the ability to handle intra-and inter-frame 2D topology changes of the contours, which manifests as a series of merging and splitting of contours when the images are viewed either in a spatial or temporal sequence. Our algorithm has been tested on five acquisitions of cardiac MRI and can successfully reconstruct the full 4D heart model in around 30 minutes per subject. The generated 4D heart model conforms very well with the input segmented contours and the mesh element shape is of reasonably good quality. The work is important in the support of downstream computational simulation activities. © 2014 Lim et al.
Source Title: PLoS ONE
URI: https://scholarbank.nus.edu.sg/handle/10635/161416
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0093747
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