Component Project 2: Development of Clinical Application Software and Ultrasound Image Processing Algorithms (III)
Date Issued
1999-07-31
Date
1999-07-31
Author(s)
DOI
882213E002022
Abstract
In the development of an ultrasound imaging
system, whether it will become a popular
system strongly depends on two factors,
namely, objective and subjective factors.
While the objective factor means whether the
specification and the quality can be compete
with other products of the same class, the
subjective factor means whether the operation
functions match most doctors' needs. The
goal of this component project is to develop an
application software with operation functions
not only matching clinical needs but also being
intelligent and user-friendly to minimize a
doctor's operation time.
In order to allow a doctor to complete an
operation function with the minimal effort,
semi-automatic and automatic image
processing algorithms would be the key
technology. Therefore, in this project, in
addition to write the application software and
its user-friendly man-machine interface, the
emphasis would be on developing the image
processing algorithms suitable for ultrasound
images. Since the quality of an ultrasound
image is much worse than that of other types of
medical images, the conventional image
processing techniques may not be very
effective for an ultrasound image. Hencs, in
this project, we have put a great effort on
developing new image processing algorithms to
deal with images for different applications,
hoping that the user can easily complete their
desired operation functions. In the third-year
project, we have proposed a new deformable
model, called Discrete Gradient Flow
Deformable Model. The salient features of
this model are to enhance the weak edges by
using the contrast gradient and the connected
components and guide the distant initial
contour with the new image force, i.e., the
Discrete Gradient Flow. This model has been
verified by using a set of ultrasound fetus
images.
Subjects
Ultrasound Imaging System
Application Software
Image Processing
Image Segmentation Techniques
Publisher
臺北市：國立臺灣大學醫學工程學研究所
Type
report
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