Automatic segmentation of the carotid artery and internal jugular vein from 2D ultrasound images for 3D vascular reconstruction.
Leah A GrovesBlake VanBerloNatan VeinbergAbdulrahman AlboogTerry M PetersElvis C S ChenPublished in: International journal of computer assisted radiology and surgery (2020)
On average, the Mask R-CNN produced more accurate vascular segmentations compared to U-Net. The Mask R-CNN models were used to produce 3D reconstructed vasculature with a similar accuracy to that of a manually segmented CT scan. This implementation of the Mask R-CNN network enables automatic analysis of the neck vasculature and facilitates 3D vascular reconstruction.