Live Fetoscopic Visualization of 4D Ultrasound Data | TU Wien

Information

Publication Type: PhD-Thesis
Workgroup(s)/Project(s):
- Advanced Volume Rendering
Date: October 2012
Date (Start): September 2009
Date (End): September 2012
TU Wien Library:
1st Reviewer: Eduard Gröller
2nd Reviewer: Milos Sramek
Rigorosum: 24. October 2012
First Supervisor: Eduard Gröller
Keywords: ultrasound, volume rendering, medical imaging

Abstract

Ultrasound (US) imaging is due to its real-time character, low cost, non-invasive nature, high availability, and many other factors, considered a standard diagnostic procedure during pregnancy. The quality of diagnostics depends on many factors, including scanning protocol, data characteristics and visualization algorithms. In this work, several problems of ultrasound data visualization for obstetric ultrasound imaging are discussed and addressed.

The capability of ultrasound scanners is growing and modern ultrasound devices produce large amounts of data that have to be processed in real-time. An ultrasound imaging system is in a broad sense a pipeline of several operations and visualization algorithms. Individual algorithms are usually organized in modules that separately process the data. In order to achieve the required level of detail and high quality images with the visualization pipeline, we had to address the flow of large amounts of data on modern computer hardware with limited capacity. We developed a novel architecture of visualization pipeline for ultrasound imaging. This visualization pipeline combines several algorithms, which are described in this work, into the integrated system. In the context of this pipeline, we advocate slice-based streaming as a possible approach for the large data flow problem.

Live examination of the moving fetus from ultrasound data is a challenging task which requires extensive knowledge of the fetal anatomy and a proficient operation of the ultrasound machine. The fetus is typically occluded by structures which hamper the view in 3D rendered images. We developed a novel method of visualizing the human fetus for prenatal sonography from 3D/4D ultrasound data. It is a fully automatic method that can recognize and render the fetus without occlusion, where the highest priority is to achieve an unobstructed view of the fetal face. Our smart visibility method for prenatal ultrasound is based on a ray-analysis performed within image-based direct volume rendering (DVR). It automatically calculates a clipping surface that removes the uninteresting structures and uncovers the interesting structures of the fetal anatomy behind. The method is able to work with the data streamed on-the-fly from the ultrasound transducer and to visualize a temporal sequence of reconstructed ultrasound data in real time. It has the potential to minimize the interaction of the operator and to improve the comfort of patients by decreasing the investigation time. This can lead to an increased confidence in the prenatal diagnosis with 3D ultrasound and eventually decrease the costs of the investigation.

Ultrasound scanning is very popular among parents who are interested in the health condition of their fetus during pregnancy. Parents usually want to keep the ultrasound images as a memory for the future. Furthermore, convincing images are important for the confident communication of findings between clinicians and parents. Current ultrasound devices offer advanced imaging capabilities, but common visualization methods for volumetric data only provide limited visual fidelity. The standard methods render only images with a plastic-like appearance which do not correspond to naturally looking fetuses. This is partly due to the dynamic and noisy nature of the data which limits the applicability of standard volume visualization techniques. In this thesis, we present a fetoscopic rendering method which aims to reproduce the quality of fetoscopic examinations (i.e., physical endoscopy of the uterus) from 4D sonography data. Based on the requirements of domain experts and the constraints of live ultrasound imaging, we developed a method for high-quality rendering of prenatal examinations. We employ a realistic illumination model which supports shadows, movable light sources, and realistic rendering of the human skin to provide an immersive experience for physicians and parents alike. Beyond aesthetic aspects, the resulting visualizations have also promising diagnostic applications. The presented fetoscopic rendering method has been successfully integrated in the state-of-the-art ultrasound imaging systems of GE Healthcare as HDlive imaging tool. It is daily used in many prenatal imaging centers around the world.

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BibTeX

@phdthesis{varchola_andrej-2012-fetoscopic,
title = "Live Fetoscopic Visualization of 4D Ultrasound Data",
author = "Andrej Varchola",
year = "2012",
abstract = "Ultrasound (US) imaging is due to its real-time character,
low cost, non-invasive nature, high availability, and many
other factors, considered a standard diagnostic procedure
during pregnancy. The quality of diagnostics depends on many
factors, including scanning protocol, data characteristics
and visualization algorithms. In this work, several problems
of ultrasound data visualization for obstetric ultrasound
imaging are discussed and addressed. The capability of
ultrasound scanners is growing and modern ultrasound devices
produce large amounts of data that have to be processed in
real-time. An ultrasound imaging system is in a broad sense
a pipeline of several operations and visualization
algorithms. Individual algorithms are usually organized in
modules that separately process the data. In order to
achieve the required level of detail and high quality images
with the visualization pipeline, we had to address the flow
of large amounts of data on modern computer hardware with
limited capacity. We developed a novel architecture of
visualization pipeline for ultrasound imaging. This
visualization pipeline combines several algorithms, which
are described in this work, into the integrated system. In
the context of this pipeline, we advocate slice-based
streaming as a possible approach for the large data flow
problem. Live examination of the moving fetus from
ultrasound data is a challenging task which requires
extensive knowledge of the fetal anatomy and a proficient
operation of the ultrasound machine. The fetus is typically
occluded by structures which hamper the view in 3D rendered
images. We developed a novel method of visualizing the human
fetus for prenatal sonography from 3D/4D ultrasound data. It
is a fully automatic method that can recognize and render
the fetus without occlusion, where the highest priority is
to achieve an unobstructed view of the fetal face. Our smart
visibility method for prenatal ultrasound is based on a
ray-analysis performed within image-based direct volume
rendering (DVR). It automatically calculates a clipping
surface that removes the uninteresting structures and
uncovers the interesting structures of the fetal anatomy
behind. The method is able to work with the data streamed
on-the-fly from the ultrasound transducer and to visualize a
temporal sequence of reconstructed ultrasound data in real
time. It has the potential to minimize the interaction of
the operator and to improve the comfort of patients by
decreasing the investigation time. This can lead to an
increased confidence in the prenatal diagnosis with 3D
ultrasound and eventually decrease the costs of the
investigation. Ultrasound scanning is very popular among
parents who are interested in the health condition of their
fetus during pregnancy. Parents usually want to keep the
ultrasound images as a memory for the future. Furthermore,
convincing images are important for the confident
communication of findings between clinicians and parents.
Current ultrasound devices offer advanced imaging
capabilities, but common visualization methods for
volumetric data only provide limited visual fidelity. The
standard methods render only images with a plastic-like
appearance which do not correspond to naturally looking
fetuses. This is partly due to the dynamic and noisy nature
of the data which limits the applicability of standard
volume visualization techniques. In this thesis, we present
a fetoscopic rendering method which aims to reproduce the
quality of fetoscopic examinations (i.e., physical endoscopy
of the uterus) from 4D sonography data. Based on the
requirements of domain experts and the constraints of live
ultrasound imaging, we developed a method for high-quality
rendering of prenatal examinations. We employ a realistic
illumination model which supports shadows, movable light
sources, and realistic rendering of the human skin to
provide an immersive experience for physicians and parents
alike. Beyond aesthetic aspects, the resulting
visualizations have also promising diagnostic applications.
The presented fetoscopic rendering method has been
successfully integrated in the state-of-the-art ultrasound
imaging systems of GE Healthcare as HDlive imaging tool. It
is daily used in many prenatal imaging centers around the
world.",
month = oct,
address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
school = "Institute of Computer Graphics and Algorithms, Vienna
University of Technology ",
keywords = "ultrasound, volume rendering, medical imaging",
URL = "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/",
}