Abstract Title: Live Fetoscopic Visualization of 4D Ultrasound Data ...

Dissertation – Abstract
Title: Live Fetoscopic Visualization of 4D Ultrasound Data
Name: Andrej Varchola
1. Supervisor: Ao.Univ.-Prof. Dipl.-Ing. Dr.techn Eduard Gröller
2. Begutachter: Ao.Univ.-Prof. Dipl.-Ing. Dr.techn Eduard Gröller
3. Begutachter: Univ.-Doz. Dipl.-Ing. Dr.techn. Milos Sramek
Abstract
Ultrasound (US) imaging is due to its real-time character, low cost, noninvasive
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 realtime.
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 rayanalysis
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.