Using Strain Estimation to Improve Detection of Tumors in Ultrasonographic Images
Date
2017-11-15
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh
Abstract
Ultrasound imaging is a diagnostic imaging technique based on the
application of ultrasound. It is used to see internal body structures such
as tendons, muscles, joints, vessels and internal organs. Its aim is often
to find a source of a disease or to exclude any pathology. However, in
order to gain more valuable information from the image, more
processing needs to be done on the images themselves. One of these is
strain calculation from the image. Pressure is applied to the area from
which the image is derived and the behavior of the tissues in response
to various amounts of pressure is observed. There are various methods
to calculate the strain from an image. We propose a new method which
makes use of Kalman filter for the strain estimation. From the motion
vector of the tissues deformation, estimated using Kalman filter, we can
classify whether the tissue exhibits cancerous behavior or it is a normal
tissue.
Description
Supervised by
Dr. Md. HasanulKabir,
Associate Professor,
Department of Computer Science and Engineering (CSE),
Islamic University of Technology (IUT),
Board Bazar, Gazipur-1704, Bangladesh.
Keywords
Citation
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