vessel- and plane-based hepatic segmentation using ct images study on intra-operator variability...
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Vessel- and plane-based hepatic segmentation
using CT imagesstudy on intra-operator variability
Ilona Mátéka, László Ruskó*Zoltán Váradi*, András Kriston*, Gyula Molnár*,
András Palkó26 September 2011
University of Szeged, Department of Radiology*GE Hungary Healthcare
Overview I.• Purpose
– to test clinical usability of research prototype– to measure intra-operator variability of
segment separation– Comparison of two approaches: user
friendliness, variability, duration
• Data: – 20 contrast cases with pre-defined liver
contours– available for public at http://sliver07.org/– 6 cases excluded: hepatic vein branches were
not visible
• Methods
– vessel-based: vascular territories of the portal vein - separate visualisation of segment I.
– plane-based: the planes should fit to main branches - segment IV. contains segment I.
– 3 tests with 2 approaches for 14 cases (total 84 runs)
Overview II.
• manually define main portal vein• remove non-portal structures • label 8 portal vein branches in 3D view• vascular territories of each portal vein
branch were computed and displayed
Vessel-based protocol
Resulted 3D model
• axial images (2D)• drawing traces along the main
branches of the hepatic vein (left-, middle-, and right), right portal vein, and branches of left portal vein feeding segments II and III
Plane-based protocol
frontal view back
5 smooth surfaces were computed
Run
Vessel-based Plane-based
1st
2nd
3rd
Case #2
• Vessel-based– very difficult to label segmental branches in the
right liver: RAPV (V, VIII) and RPPV branches (VI, VII) cannot be identified in most cases (#4, #15, #18, #19)
– segment I shows significant variation (as expected)
– some variation was due to vessel segmentation: different result from different seeds #3, #16
• Plane-based– segment IV is very large in most cases: plane
definition may be reconsidered
Observations
Run
Vessel-based Plane-based
1st
2nd
3rd
Case #3
• Vessel-based*
Average segment size% of total liver volume
• Plane-based
• left lobe: 19.2%, left liver: 32.8%
• right liver: 67.3%, right lobe: 80.9%
• left lobe: 12.3%, left liver: 32.3%
• right liver: 67.7%, right lobe: 87.7%*In case of the vessel-based approach segment I. was added to
segment IV.
Intra-operator variability% of total liver volume
Vessel- based, average 1.8%•left lobe: 0.85%, left liver: 1.03%•right liver: 2.3%, right lobe: 2.12%
Plane-based, average 2.0%•left lobe: 1.3%, left liver: 1.63%•right liver: 2.3%, right lobe: 2.3%Small difference in intra-operator variability, not significant
(statistically)
• Vessel-based Avg. Min Max– PV segmentation 48s 30s 98s– clean PV 169s 77s 396s– label branches 179s 63s 515s– total 398s 238s 702s
• Plane-based– total 201s 128s 480s
Processing time (second)
Vessel-based approach takes nearly double time
• no significant difference in intra-operator variability• processing time: (2x) longer for vessel-based
approach: – incorrect PV segmentation– ambiguity of labeling the right PV branches
• What about precision?– vessel-based approach allows defining segment I.– segment IV. is over-estimated with plane-based
approach
Conclusions
Thank you for your kind attention!