A level set based method is presented for cerebral vascular tree segmentation from computed tomography angiography (CTA) data. The method starts with bone masking by registering a contrast enhanced scan with a low-dose mask scan in which the bone has been segmented.
A level set based method is presented for cerebral vascular tree segmentation from computed tomography angiography (CTA) data. The method starts with bone ...
A pattern recognition-based framework is presented to automatically segment the complete cerebral vasculature from 4D Computed Tomography patient data.
Level set based cerebral vasculature segmentation and diameter quantification in CT angiography. Medical Image Analysis, 10(2), 200-214. https://doi.org ...
Level set based cerebral vasculature segmentation and diameter quantification in CT angiography ... Authors: R. Manniesing; B.K. Velthuis; M.S. van Leeuwen; I.C. ...
Segmentation methods developed for CTA without bones can not handle these data sets and manual cerebral vessel segmentation is not realizable in clinical ...
Semi-automatic level-set based segmentation and stenosis quantification of the internal carotid artery in 3D CTA data sets. ... CT angiography images. Med ...
Nov 15, 2017 · Level set based cerebral vasculature segmentation and diameter quantification in CT angiography. Med. Image Analysis 10, 200–214 (2006).
The software based approach presented in this paper will give reliable results for automatic bone removal in. CTA data sets even in areas around the skull base.
Jul 29, 2020 · The proposed convolutional neural network enables accurate artery and vein segmentation with 4D CT angiography with a processing time of less than 90 seconds.
Missing: diameter quantification