Rui Liao’s work on patient-specific 3-D model guidance for interventional and hybrid-operating-room applications

Figure 4 Curve-based 2-D/3-D registration for chronicle total occlusion revascularization[21]. A: Curves of the LCx (green) and LAD (red) identified on fluoroscopic images (in bold) using a semi-automatic tool based on the vesselness measure, fast marching, and B-Spline fitting. The 2-D projection of the corresponding curve segments from the 3-D multi-slice computed tomography (MSCT) is shown with an offset (in dashed). The image frame used for registration is selected to match the acquisition cardiac phase of the MSCT volume, expressed by a percentage of the R-R interval from the electrocardiogram; B, C: The distance transform image obtained from the curve identified on the LCx and the LAD; D: Registration results obtained by selecting the LCx and LAD. The mesh model of the segmented MSCT is overlaid on top of the fluoroscopic image after registration.