Segmentation of 3D Tubular Tree Structures in Medical Images ...

5.3. Evaluation and Results 89
(a) Axial cutting plane
through the dataset.
(b) Coronal cutting
plane indicated by the
white line in (a) showing
anisotropy.
Figure 5.6: Unsegmented vessel (arrow) found by the radiologist.
(a) Segmentation result
showing the hepatic artery
(bright) in proximity of the
portal vein (dark).
(b) Cutting plane through
the dataset indicated by
the black line in (a), showing
two hepatic arteries (1
& 2) close to the portal
vein (3).
(c) While artery (2) was
successfully detected,
artery (1) was too close
to the portal vein such
that no tubular structure
was detected/extracted.
Instead, this part of the
artery was segmented as
part of the portal vein.
Figure 5.7: Unsuccessfully detected portal artery.
parts of the vessel trees and consisted of up to 3 branches. No misconnection of larger
vessels was observed.
Data and segmentation quality: CT data quality and segmentation quality were assessed
qualitatively by the radiologist, ranking them as “poor”, “ok”, or “good”. A summary
of all scores is given in Table 5.2. For evaluation, results of several individual