Unknown

Dataset Information

Automated 3D segmentation and diameter measurement of the thoracic aorta on non-contrast enhanced CT.


ABSTRACT:

Objectives

To develop and evaluate a fully automatic method to measure diameters of the ascending and descending aorta on non-ECG-gated, non-contrast computed tomography (CT) scans.

Material and methods

The method combines multi-atlas registration to obtain seed points, aorta centerline extraction, and an optimal surface segmentation approach to extract the aorta surface around the centerline. From the extracted 3D aorta segmentation, the diameter of the ascending and descending aorta was calculated at cross-sectional slices perpendicular to the extracted centerline, at the level of the pulmonary artery bifurcation, and at 1-cm intervals up to 3 cm above and below this level. Agreement with manual annotations was evaluated by dice similarity coefficient (DSC) for segmentatio

SUBMITTER: Sedghi Gamechi Z 

PROVIDER: S-EPMC6682850 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature