Supplementary material on the Internet
The following videoclips are available from Wiley Online Library:
http://onlinelibrary.wiley.com/doi/10.1002/uog.2724/suppinfo (restricted access)
S1 Two-dimensional videoclip of the four-chamber view, illustrating the placement of the region of interest (ROI) and acquisition of the volume dataset with spatio-temporal image correlation (STIC). The ROI defines the width and the height of the volume dataset (x- and y-planes).
S2 Standard planes of section that can be obtained by scrolling from the top to the bottom of the volume dataset.
S3 Tomographic ultrasound imaging of a normal volume dataset of the fetal heart, acquired using transverse sweeps through the fetal thorax.
S4 Demonstration of the technique to visualize systematically the outflow tracts in volume datasets acquired using transverse sweeps through the fetal thorax with spatio-temporal image correlation (STIC).
S5 Demonstration of transposition of the great arteries using the technique described in Figure 4 and Videoclip S4.
S6 Demonstration of a technique to visualize the aortic and ductal arches in 4D volume datasets acquired using sagittal sweeps through the fetal chest (described originally by Bega et al.16, for volume datasets acquired by 3D ultrasound).
S7 ‘Thick-slice’ rendering of the atrioventricular valves of a normal fetus. The key to obtaining the rendered image (lower right corner) is the position and size of the region of interest, encompassing only the atrioventricular valves. The green line indicates the direction of view, which is the direction that the computer software will use to convert the voxels along the projection path into pixel information to be displayed on the two-dimensional screen. In this case, the position of the green line indicates that the atrioventricular valves are being visualized from the ventricular chambers. This volume dataset was rendered using a combination (mix) of 60% gradient light and 40% surface mode.
S8 ‘Thick-slice’ rendering of the atrioventricular valves using inversion mode in a fetus with Ebstein anomaly. This mode provides great contrast for the visualization of the myocardium and atrioventricular valves. Note the abnormal apical insertion of the tricuspid valve.
S9 ‘Thick-slice’ rendering in a case of absent pulmonary valve syndrome associated with tetralogy of Fallot, demonstrating the overriding aorta. The algorithm used for rendering was the ‘gradient light’ mode.
S10 ‘Thick-slice’ rendering of the right ventricle and pulmonary artery in a case of absent pulmonary valve syndrome associated with tetralogy of Fallot. The stenotic pulmonary valve annulus, the poststenotic dilatation of the pulmonary artery and a cross-section of the dilated annulus of the left pulmonary artery are demonstrated in a single image. The algorithm used for rendering was the ‘gradient light’ mode.
S11 Technique to obtain rendered images of the outflow tracts using color Doppler. The same technique can be applied to volume datasets acquired with power Doppler and B-flow imaging, as well as for volume datasets acquired with B-mode imaging but rendered using inversion mode. Ao, aorta; LV, left ventricle; PA, pulmonary artery; RV, right ventricle.
S12 Crisscrossing of the outflow tracts in a volume dataset acquired with B-flow imaging.
S13 Technique to render the aortic and ductal arches using volume datasets acquired with gray-scale imaging only and rendered with inversion mode.
S14 Four-dimensional visualization of the aortic and ductal arches in a volume dataset acquired with B-flow imaging.