&lt;title&gt;Combining extraction and 3D reconstruction of vessel center lines in biplane subtraction angiography&lt;/title&gt;

Toennies, Klaus D.; Remonda, Luca; Koster, David

doi:10.1117/12.310928

Cited by 6 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Spatial reconstructions from biplane angiograms evolved as important tools for morphological analyses of vessel trees in both coronary and cerebral domains [9]- [19]. From the known imaging geometry and based on the epipolar constraint, any point visible in both projections can be spatially reconstructed by retracing the projection rays back to the point of their intersection.…”

Section: Introductionmentioning

confidence: 99%

Geometrically correct 3-D reconstruction of intravascular ultrasound images by fusion with biplane angiography-methods and validation

Wahle

Prause

DeJong

et al. 1999

IEEE Trans. Med. Imaging

159

View full text Add to dashboard Cite

Abstract-In the rapidly evolving field of intravascular ultrasound (IVUS), the assessment of vessel morphology still lacks a geometrically correct 3-D reconstruction. The IVUS frames are usually stacked up to form a straight vessel, neglecting curvature and the axial twisting of the catheter during the pullback. Our method combines the information about vessel cross-sections obtained from IVUS with the information about the vessel geometry derived from biplane angiography. First, the catheter path is reconstructed from its biplane projections, resulting in a spatial model. The locations of the IVUS frames are determined and their orientations relative to each other are calculated using a discrete approximation of the Frenet-Serret formulas known from differential geometry. The absolute orientation of the frame set is established utilizing the imaging catheter itself as an artificial landmark. The IVUS images are segmented using our previously developed algorithm. The fusion approach has been extensively validated in computer simulations, phantoms, and cadaveric pig hearts.

show abstract

Section: Introductionmentioning

confidence: 99%