DocumentCode :
1948624
Title :
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
Link To Document :
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