Detecting film-screen artifacts in mammography using a model-based approach.

Abstract:

:Microcalcifications can be one of the earliest signs of breast cancer. Unfortunately, their appearance in mammograms can be mimicked by dust and dirt entering the imaging process and this has been shown previously to lead to false positives. We use a model of the imaging process and, in particular, the blurring functions inherent within it to detect the film-screen artifacts caused by dust and dirt and, thus, reduce false-positives. A crucial facet of the work is the choice of the correct image representation upon which to perform the image processing. After extensive testing, our algorithm has identified no microcalcifications as being artifacts and has an artifact detection rate of approaching 96%.

journal_name

IEEE Trans Med Imaging

authors

Highnam R,Brady M,English R

doi

10.1109/42.811313

subject

Has Abstract

pub_date

1999-10-01 00:00:00

pages

1016-24

issue

10

eissn

0278-0062

issn

1558-254X

journal_volume

18

pub_type

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