Optimum Vessel Segmentation

Good blood vessel segmentation in medical imaging is critical during surgery. We propose a parallelized region growth algorithm (pSRG) computing the gradient using Persistence and grid-stride loops. This approach avoids unnecessary memory transfers. As a result, in addition to faster computation, we obtain more accurate segmentation.

Automated summary

Accurate blood vessel segmentation in medical imaging is crucial for surgeries. In this study, we introduce a parallelized region growth algorithm (pSRG) that computes the gradient using Persistence and grid-stride loops. This approach eliminates unnecessary memory transfers, leading to faster computation and more precise segmentation.