Statistical texture synthesis of mammographic images with super-blob lumpy backgrounds.

Details

Serval ID
serval:BIB_3F121644A46D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Statistical texture synthesis of mammographic images with super-blob lumpy backgrounds.
Journal
Optics Express
Author(s)
Bochud F., Abbey C., Eckstein M.
ISSN
1094-4087[electronic]
Publication state
Published
Issued date
1999
Volume
4
Number
1
Pages
33-42
Language
english
Abstract
Realistic anatomical images are useful for assessment and improvement of medical image quality. The use of synthesized images has the advantage of providing the user with a large number of independent samples, in a controlled environment. We propose a method to generate medical textures that are fully defined by a set of adjustable parameters and a random number generator, and which statistical properties are analytically tractable. This method, called the "clustered lumpy background", is a generalization of the original lumpy background described by Rolland and Barrett (1992). A detailed application of the method in the case of mammography is presented. It is shown that the synthesized images are visually very similar and that their first and second order statistics can be considered as being equivalent.
Pubmed
Web of science
Create date
25/04/2008 17:11
Last modification date
20/08/2019 13:36
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