Information
- Publication Type: Invited Talk
- Workgroup(s)/Project(s):
- Date: 2015
- Event: Invited Talk
- Location: Otto-von-Guericke University Magdeburg, Germany
- Conference date: 14. October 2015 – 16. October 2015
Abstract
Visualizations of vascular structures are frequently used in radiological investigations to detect and analyze vascular diseases. Thus, the analysis of blood vessels for their diagnosis and treatment are important research fields of radiology. Angiographic interventions, such as stenting, balloon dilatation, or bypass surgery, need to be planned with care and precision, due to their major impact on the patient’s health state. In order to optimally decide on the therapeutic procedure, specific diagnostic methods are required. They assess the health state of blood vessels and answer clinically relevant questions such as, e.g., if blood is partially or entirely hindered from flowing through a vessel by a clot or a mineral deposition on the vessel wall, such as a calcification.In this talk, I will present Curved Planar Reformation (CPR), a method that is designed for the investigation of peripheral arteries. This technique creates a curved plane along the centerlines of blood vessels, revealing their interior, or lumen. This allows radiologists to precisely judge if blood is able to flow through a vessel or if it is significantly hindered, as in the case of a stenosis. I will also introduce advanced methods, like Curved Surface Reformation (CSR), which computes the vessel lumen entirely in 3D, offering high-quality interactive visualizations of the vessels' interior. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, I will present other possibilities of visualizing vascular structures, such as Curvicircular Feature Aggregation (CFA). This approach aggregates the single rotated images of CPR into a single view. By eliminating the need for rotation, blood vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. As vessel visualization provides very specific insight, the overall contextual information outside the vessel lumen might deteriorate. I will present means how to overcome this by providing a spatial indication. Advancing to visualization of the cerebral arteries, I will present an approach how to automatically extract the Circle of Willis and assess the morphology of this arterial circle within a single visualization.
Despite being an important part of many analysis pipelines, the segmentation of blood vessels commonly requires manual inspection and correction. While plenty of volume editing techniques exist, it remains cumbersome and error-prone for the user to find and select appropriate regions for editing. In this talk, I will present the application of a general volume editing technique to the domain of vascular structures and how it reduces the necessary interaction to obtain high-quality segmentations.
Due to the ever growing volume of acquired data and information, users have to be constantly aware of the methods for their exploration and for interaction. Owing to this, innovations may be used inappropriately and users may become skeptical. In this talk, I will present a knowledge-assisted interface for medical visualization, which reduces the necessary effort to use new visualization methods, by providing only the most relevant ones in a smart way. Consequently, we are able to expand such a system with innovations without the users to worry about when, where, and especially how they may or should use them. I will show how to apply this concept in the context of blood vessels investigations.
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No further information available.BibTeX
@talk{mistelbauer-2015-abvv,
title = "Advanced Blood Vessel Visualization",
author = "Gabriel Mistelbauer",
year = "2015",
abstract = "Visualizations of vascular structures are frequently used in
radiological investigations to detect and analyze vascular
diseases. Thus, the analysis of blood vessels for their
diagnosis and treatment are important research fields of
radiology. Angiographic interventions, such as stenting,
balloon dilatation, or bypass surgery, need to be planned
with care and precision, due to their major impact on the
patient’s health state. In order to optimally decide on
the therapeutic procedure, specific diagnostic methods are
required. They assess the health state of blood vessels and
answer clinically relevant questions such as, e.g., if blood
is partially or entirely hindered from flowing through a
vessel by a clot or a mineral deposition on the vessel wall,
such as a calcification. In this talk, I will present
Curved Planar Reformation (CPR), a method that is designed
for the investigation of peripheral arteries. This technique
creates a curved plane along the centerlines of blood
vessels, revealing their interior, or lumen. This allows
radiologists to precisely judge if blood is able to flow
through a vessel or if it is significantly hindered, as in
the case of a stenosis. I will also introduce advanced
methods, like Curved Surface Reformation (CSR), which
computes the vessel lumen entirely in 3D, offering
high-quality interactive visualizations of the vessels'
interior. While it is possible with conventional CPR methods
to examine the whole vessel lumen by rotating around the
centerline of a vessel, I will present other possibilities
of visualizing vascular structures, such as Curvicircular
Feature Aggregation (CFA). This approach aggregates the
single rotated images of CPR into a single view. By
eliminating the need for rotation, blood vessels can be
investigated by inspecting only one image. This method can
be used as a guidance and visual analysis tool for treatment
planning. As vessel visualization provides very specific
insight, the overall contextual information outside the
vessel lumen might deteriorate. I will present means how to
overcome this by providing a spatial indication. Advancing
to visualization of the cerebral arteries, I will present an
approach how to automatically extract the Circle of Willis
and assess the morphology of this arterial circle within a
single visualization. Despite being an important part of
many analysis pipelines, the segmentation of blood vessels
commonly requires manual inspection and correction. While
plenty of volume editing techniques exist, it remains
cumbersome and error-prone for the user to find and select
appropriate regions for editing. In this talk, I will
present the application of a general volume editing
technique to the domain of vascular structures and how it
reduces the necessary interaction to obtain high-quality
segmentations. Due to the ever growing volume of acquired
data and information, users have to be constantly aware of
the methods for their exploration and for interaction. Owing
to this, innovations may be used inappropriately and users
may become skeptical. In this talk, I will present a
knowledge-assisted interface for medical visualization,
which reduces the necessary effort to use new visualization
methods, by providing only the most relevant ones in a smart
way. Consequently, we are able to expand such a system with
innovations without the users to worry about when, where,
and especially how they may or should use them. I will show
how to apply this concept in the context of blood vessels
investigations.",
event = "Invited Talk",
location = "Otto-von-Guericke University Magdeburg, Germany",
URL = "https://www.cg.tuwien.ac.at/research/publications/2015/mistelbauer-2015-abvv/",
}