Work

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

Year: 1999

Type: article

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.

Source: Optics Express

DOI: 10.1364/oe.4.000033

Authors: Francois Bochud, Craig Abbey, Miguel Eckstein

Institution: Cedars-Sinai Medical Center

Language: English

Topic: Digital Radiography and Breast Imaging

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $2,270

Funder: National Institutes of Health