Medical and biological images have different physical natures. A person-operator can perceive them in different ways. Therefore, an important task is the adaptation of the image processing process to a specific user, that is, to a narrow task that is solved by the consumer of information. It is often not enough to present an object to an observer with the help of an ideal display system, since the information required for image analysis in order to search and identify objects, the determination of various quantitative characteristics can be manifested only as a result of digital processing. Based on the above, the paper proposes an automated method for extracting the contours of ultrasound images using the example of studying the state of the hip joint. This method makes it possible to construct conventional lines on the image of the hip joint in an automated mode with minimal expenditure of resources and subsequently to calculate the values of certain angular indicators, and using known methods of studying the condition of the hip joint, to estimate its degree of dysplasia. By automating the process, the reliability of diagnostics can be increased.
KEYWORDS: Image filtering, Ultrasonography, Speckle, Image processing, Linear filtering, Digital filtering, Electronic filtering, Ultrasonics, Signal to noise ratio, Gaussian filters
A review of the methods of filtering ultrasound images on the example of hip dysplasia images is presented, their advantages and disadvantages are shown. Demonstrated ways of computer diagnostics of Hip dysplasia development. The method of filtration of the speckle noise of ultrasonic images of the hip dysplasia was proposed. The proposed method focuses on Gaussian blur effects. The idea of the method is that performs a logical AND operation between the original input image and two another images processed Gaussian filtering. The algorithm was tested on the tested images, as well as on real ultrasound images of hip dysplasia.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.