2011
DOI: 10.1016/j.media.2011.06.010
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An accurate, fast and robust method to generate patient-specific cubic Hermite meshes

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Cited by 93 publications
(105 citation statements)
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“…Each data set was segmented using the Philips heart atlas based segmentation tool [13]. We use the meshing tool developed by Lamata et al [32,33] to fit a cubic order finite element mesh to each segmented data set. Figure 7C shows the resulting finite element meshes.…”
Section: Multi-scale Modelmentioning
confidence: 99%
“…Each data set was segmented using the Philips heart atlas based segmentation tool [13]. We use the meshing tool developed by Lamata et al [32,33] to fit a cubic order finite element mesh to each segmented data set. Figure 7C shows the resulting finite element meshes.…”
Section: Multi-scale Modelmentioning
confidence: 99%
“…The template image space provides a common reference space for population-based shape analysis (Hoogendoorn et al, 2013). The template surface mesh can be used to generate a personalised patient-specific mesh for biomechanical simulation (Lamata et al, 2011). The statistical shape model can be used as prior knowledge to guide image segmentation (Heimann and Meinzer, 2009).…”
Section: Related Workmentioning
confidence: 99%
“…http://www.cmiss.org/cmgui/wiki/\ /TheCmguiEXFormatGuideExnodeAndExelemFiles shape coefficients for each patient. In the construction of an atlas, shapes are encoded in computational meshes through an automatic personalization process from the segmented images [11], [12]. Then, a reduction of the number of shape dimensions is performed through a principal component analysis (PCA).…”
Section: Aca Descriptionmentioning
confidence: 99%
“…Once the image set is made available, a computational mesh is automatically fitted to each segmented anatomy [11], [12]. This process runs through a web interface to the heartgen web service [14] relaying on LOBCDER as distributed file manager to provide a shared storage space to fetch data, images, and return analysis results.…”
Section: Running Aca With Lobcdermentioning
confidence: 99%