Naslov
Breast Border Extraction and Pectoral Muscle Detection Using Wavelet Decomposition

Autori
Muštra, Mario ; Božek, Jelena ; Grgić, Mislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the International IEEE Conference EUROCON 2009 / Alexander Mikerov - Piscataway (NJ) : Institute of Electrical and Electronics Engineers (IEEE), 2009, 1428-1435

ISBN
978-1-4244-3861-7

Skup
International IEEE Conference EUROCON 2009

Mjesto i datum
Sankt Peterburg, Ruska Federacija, 18.05.2009. - 23.05.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Digital Mammography; Breast Border; Pectoral Muscle; Segmentation; Wavelet Transform

Sažetak
Digital mammography is used more and more each day in comparison with screen film mammography (SFM). Main advantage of digital mammography for image processing is the use of images with few or no artifacts that can occur on SFM images. Finding breast border contour is therefore easier and gives more precise results. On the other hand, detection of pectoral muscle and breast abnormalities has almost the same results in both cases. The presence of pectoral muscle can affect results of lesion detection algorithms so it is recommended to have it removed from the image. Detection and segmentation of pectoral muscle can also help in image registration for further analysis of breast abnormalities such as bilateral asymmetry. Algorithm presented in this paper uses hybrid method for the pectoral muscle detection. Proposed method uses bit depth reduction and wavelet decomposition for finding pectoral muscle border. Algorithm has been tested on the set of 40 digital mammography images.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA