The cubic model yielded closure error less than 10⁻⁴ mm and area mismatch below 10⁻² mm², indicating highly accurate lumen reconstructions.
A cubic model with geometric regularization provides accurate and stable reconstruction of vessel lumen cross-sections from balloon strain data, outperforming standard linear mapping in soft-tissue geometries.
Balloon catheters with distributed strain sensors aim to estimate arterial wall mechanics in vivo. Reconstructing the lumen contour from circumferential segment lengths is essential. The standard linear one-parameter mapping proves insufficient for soft-tissue and concave geometries. A smooth cubic model with soft geometric penalties and robust evolutionary optimization achieves accurate closure and area agreement while yielding physiologically realistic curvature.
Agahi et al. (Mon,) reported a other. Cubic mapping model vs. Standard linear one-parameter mapping was evaluated on Accuracy of lumen reconstruction. The cubic model yielded closure error less than 10⁻⁴ mm and area mismatch below 10⁻² mm², indicating highly accurate lumen reconstructions.