Synapse 3d software

Images from the PACS system were reviewed, which were obtained in two multislicescanners, an 80-detector row and a 16- detector row. From the data obtained, the adipose tissue was extracted for 3D image reconstruction and fat volume measurement. Segmentation was carried out with semi-automatic analysis of the Hounsfield Units.
Two areas of interest were taken into account for this analysis. The first was an axial volume that covers from the lowest tip of the soft palate to the highest portion of the epiglottis. In this area, the volume of fat and the volume of the airway was measured semi-automatically in millilitres. The retrolingual area was selected because there are studies carried out by Welch et al
14 (link)
that showed that weight loss produced a greater change in the diameter of the airway in this selected area.
The second one was a single axial section where the airway has its smallest cross-sectional area. We measured the anteroposterior (AP) distance and the lateral width (LW). At the time of imaging, the patients were awake and in supine position,
Fig. 1.
Cervical fat tissue volume (CFTV) was determined by Synapse 3d™ software (Fujifilm Healthcare™).

The HR-MRI 3D reconstructed images were spatially aligned with the micro-CT images in the same 3D space using Amira software (version 6.3.0; Thermo Fisher Scientific, Merignac, France). Manual registration was applied to visualize the vascular and skeletal structures in longitudinal (Fig. 1A), coronal (Fig. 1B), and inferior (Fig. 1C) 3D views. Thereafter, the micro-CT and HR-MR images were fused in Synapse 3D® software (Fujifilm Medical, Tokyo, Japan) (Fig. 2) for quantification of rat jawbone remodeling and vascularization. For fusion, a suitable region of interest (ROI) was defined to enable the calculation of vascularity as close as possible to the affected bone. Fusion was carried out separately for each rat at each time point.