@InProceedings{Romualdo:2009:MaImRe,
author = "Romualdo, Larissa Cristina dos Santos",
affiliation = "{Universidade de S{\~a}o Paulo - Departamento de Engenharia
El{\'e}rica}",
title = "Mammography images restoration by quantum noise reduction and
inverse MTF filtering",
booktitle = "Proceedings...",
year = "2009",
editor = "Nonato, Luis Gustavo and Scharcanski, Jacob",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 22.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "image restoration, mammography, Anscombe transform, quantum
noise.",
abstract = "This work proposes a new restoration method to improve
mammographic images by using Anscombe Transform and Wiener Filter
to quantum noise reduction. Besides, it is performed an image
enhancement by using a restoration inverse filter, calculated
based on the image system modulation transfer function (MTF). This
pre-processing technique were used for a set of mammographic
phantom images in order measure the number of microcalcifications
correctly detected by a computer-aided detection (CAD) algorithm.
Results showedthat the proposed method improved breast images
quality by overcome the acquisition process constrains and
reducing noise. The performance of the breast microcalcification
CAD was improved when using the restored images set in comparison
to the original one.",
conference-location = "Rio de Janeiro, RJ, Brazil",
conference-year = "11-14 Oct. 2009",
doi = "10.1109/SIBGRAPI.2009.12",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.12",
language = "en",
ibi = "8JMKD3MGPBW4/35SJUJE",
url = "http://urlib.net/ibi/8JMKD3MGPBW4/35SJUJE",
targetfile = "58045.pdf",
urlaccessdate = "2024, May 02"
}