Detection of masses in mammography through redundant expansions of scale

Author

Laffont, V. ; Durupt, F. ; Birgen, M.A. ; Bauduin, S. ; Laine, A.F.

Author_Institution

Ecole Centrale de Nantes, France

Volume

3

fYear

2001

fDate

2001

Firstpage

2797

Abstract

We show that dyadic scales may not be sufficient for the detection of masses in mammograms: a lesion may be too blurred on one scale, and then too fragmented at the next. In this paper, we report on the preliminary evidence of our study using a continuous wavelet transform in two dimensions with arbitrary positioning of a wavelet´s center frequency channel tuned to the mass detection problem. Our goal is to detect masses in dense mammograms whose diameter is smaller than 1 cm. The aim is to be able to find the scale where the mass is best represented in terms of analysis.

Keywords

cancer; mammography; medical image processing; wavelet transforms; 1 cm; arbitrary positioning; blurred lesion; breast cancer; dyadic scales; fragmented lesion; mammographic masses; mass detection problem; medical diagnostic imaging; redundant scale expansions; wavelet´s center frequency channel; Biomedical engineering; Continuous wavelet transforms; Discrete wavelet transforms; Equations; Frequency; Lattices; Lesions; Mammography; Speech analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1017366

Filename

1017366