Dataset Open Access

Biventricular statistical shape model of the human heart adapted for computer simulations

Schuler, Steffen; Loewe, Axel

This is an adapted version of the biventricular statistical shape model from Bai et al. (2015) that can be used as a basis for computer simulations of cardiac electrophysiology or cardiac mechanics. The original model consists of disconnected surfaces of the left ventricular (LV) myocardium and the right ventricular (RV) blood pool. The surface of the RV blood pool was clipped at the base to add an orifice representing the RV in- and outlets. The resulting RV endocardial surface was shifted along its normals by a fixed wall thickness of 3 mm to obtain an RV epicardial surface. Then all surfaces were merged to form one closed surface of the biventricular myocardium. This surface was remeshed using Instant Meshes (Jakob et al., 2015) and tetrahedralized using Gmsh (Geuzaine. et al., 2009), resulting in the following two meshes of the mean shape:

  • heart_sur.vtp:
    Triangle mesh with 100 k nodes, 200 k elements, mean edge length: 0.83 mm.
    This mesh contains a point data array 'class' labeling the following regions: base (1), epicardium (2), LV endocardium (3), RV endocardium (4), apex (5).
  • heart_vol.vtu:
    Tetrahedral mesh with 479 k nodes, 2555 k elements, mean edge length: 0.82 mm.

The principal components and variances of the 100 shape modes were Laplacian interpolated to the nodes of these new meshes and are stored in the following files:

  • pc_sur.csv.gz or pc_sur.mat: 100 principal components corresponding to the nodes of heart_sur.vtp.
  • pc_vol.csv.gz or pc_vol.mat: 100 principal components corresponding to the nodes of heart_vol.vtp.
  • var.csv.gz or var.mat: 100 variances applicable to both meshes.

100 quasi-random instances derived from the model are also available. They were created by drawing the weights of the 100 principal components from a uniform distribution in the range of −3 to +3 standard deviations:

  • instances_XXX_to_YYY.tar.gz: Archives with 10 out of 100 instances. For each instance, there is a vtp file containing surface classes and a vtu file containing Consistent biventricular coordinates.
  • instances_weights.csv.gz or instances_weights.mat: Weights in the range [−3, +3] corresponding to the 100 instances. They were created using a scrambled Halton sequence.

Please be aware that the model does not include any variations in RV wall thickness.

Files (6.3 GB)
Name Size
heart_sur.vtp
md5:11069c64928db9faf60d34ffe916b73d
3.3 MB Download
heart_vol.vtu
md5:9929ac1855094229b6afada85f95f563
62.5 MB Download
instances_001_to_010.tar.gz
md5:ec8a37700292f4e7abe788def7e6d5ba
498.4 MB Download
instances_011_to_020.tar.gz
md5:f606416791fc0c902301c335003ca80e
498.4 MB Download
instances_021_to_030.tar.gz
md5:d27dda496d2e4b9f5bf8ab95787be725
498.5 MB Download
instances_031_to_040.tar.gz
md5:af45e61169b9994c046b474ec6c1ec7e
498.4 MB Download
instances_041_to_050.tar.gz
md5:9e4368d60b8ec79928ecf045aae6279e
501.0 MB Download
instances_051_to_060.tar.gz
md5:2b5044bfe5a5f325047a8181b98a544a
498.5 MB Download
instances_061_to_070.tar.gz
md5:61a24ac274940daf9328303a4b6c49ea
497.3 MB Download
instances_071_to_080.tar.gz
md5:075f4788970f143ad102e19c9e04d272
496.6 MB Download
instances_081_to_090.tar.gz
md5:8492720d82ffc0aae9aca2ad2001d3e0
504.5 MB Download
instances_091_to_100.tar.gz
md5:0cc0cfce1242f3ab69ddfde1246d78a3
498.4 MB Download
instances_weights.csv.gz
md5:9ffe07aee26f972589a589cc4c2b6c6b
30.9 kB Download
instances_weights.mat
md5:620075adb73757981f8e64bd2ac982b6
77.4 kB Download
pc_sur.csv.gz
md5:f481011290604949a1c5321d24897c38
99.1 MB Download
pc_sur.mat
md5:b8c6e996f5c39e3b0b749b4632465ed3
111.2 MB Download
pc_vol.csv.gz
md5:5e0ed2ee44b79ee2ab98ba0d873283b7
475.7 MB Download
pc_vol.mat
md5:96b823311873ee7aff1dbed073531e71
533.5 MB Download
var.csv.gz
md5:a4c5aa2ad69520b8c78733b6940f7e6b
382 Bytes Download
var.mat
md5:f4c9729fd034a42ebd8f06c2d1a3e8b6
591 Bytes Download
  • Bai, W. et al. (2015). A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion. Med Image Anal 26(1):133–45.

  • de Marvao, A. et al. (2014). Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power. J Cardiovasc Magn Reson, 16:16.

  • Jakob, W. et al. (2015). Instant field-aligned meshes. ACM Trans Graph, 34:1–15.

  • Geuzaine, C. et al. (2009). Gmsh: A 3-d finite element mesh generator with built-in pre- and post-processing facilities. Int J Numer Methods Eng, 79:1309–1331.

170
84
views
downloads
All versions This version
Views 17072
Downloads 8451
Data volume 19.3 GB14.1 GB
Unique views 12263
Unique downloads 3224

Share

Cite as