Illustrative Couinaud Segmentation for Ultrasound Liver Examinations
Ola Kristoffer Øye, Dag Magne Ulvang, Odd Helge Gilja, Helwig Hauser, Ivan Viola
INCOLLECTION,
Smart Graphics,
2011
AbstractCouinaud segmentation is a widely used liver partitioning scheme for
describing the spatial relation between diagnostically relevant anatomical and
pathological features in the liver. In this paper, we propose a new methodology
for effectively conveying these spatial relations during the ultrasound
examinations. We visualize the two-dimensional ultrasound slice in the context
of a three-dimensional Couinaud partitioning of the liver. The partitioning is
described by planes in 3D reflecting the vascular tree anatomy, specified in the
patient by the examiner using her natural interaction tool, i.e., the ultrasound
transducer with positional tracking. A pre-defined generic liver model is adapted
to the specified partitioning in order to provide a representation of the
patient’s liver parenchyma. The specified Couinaud partitioning and parenchyma
model approximation is then used to enhance the examination by providing visual
aids to convey the relationships between the placement of the ultrasound plane
and the partitioned liver. The 2D ultrasound slice is augmented with Couinaud
partitioning intersection information and dynamic label placement. A linked
3D view shows the ultrasound slice, cutting the liver and displayed using fast
exploded view rendering. The described visual augmentation has been characterized
by the clinical personnel as very supportive during the examination procedure,
and also as a good basis for pre-operative case discussions.
Published
Smart Graphics
Media
BibTeX
@incollection{oye11illustrativeCouinaud,
author = {Ola Kristoffer {\O}ye and Dag Magne Ulvang and Odd Helge Gilja and Helwig Hauser and Ivan Viola},
title = {Illustrative Couinaud Segmentation for Ultrasound Liver Examinations},
booktitle = {Smart Graphics},
series = {Lecture Notes in Computer Science},
publisher = {Springer Berlin / Heidelberg},
isbn = {978-3-642-22570-3},
pages = {60--77},
volume = {6815},
url = {http://dx.doi.org/10.1007/978-3-642-22571-0_6},
abstract = {Couinaud segmentation is a widely used liver partitioning scheme for
describing the spatial relation between diagnostically relevant anatomical and
pathological features in the liver. In this paper, we propose a new methodology
for effectively conveying these spatial relations during the ultrasound
examinations. We visualize the two-dimensional ultrasound slice in the context
of a three-dimensional Couinaud partitioning of the liver. The partitioning is
described by planes in 3D reflecting the vascular tree anatomy, specified in the
patient by the examiner using her natural interaction tool, i.e., the ultrasound
transducer with positional tracking. A pre-defined generic liver model is adapted
to the specified partitioning in order to provide a representation of the
patient’s liver parenchyma. The specified Couinaud partitioning and parenchyma
model approximation is then used to enhance the examination by providing visual
aids to convey the relationships between the placement of the ultrasound plane
and the partitioned liver. The 2D ultrasound slice is augmented with Couinaud
partitioning intersection information and dynamic label placement. A linked
3D view shows the ultrasound slice, cutting the liver and displayed using fast
exploded view rendering. The described visual augmentation has been characterized
by the clinical personnel as very supportive during the examination procedure,
and also as a good basis for pre-operative case discussions.},
year = {2011},
}
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