Simultaneous pectoral muscle and nipple location in MLO mammograms, considering image quality assumptions

E. García; R. Martí; J. Martí; J. del Riego; C. Aynes; A. Oliver; O. Diaz

doi:10.1117/12.2625778

13 July 2022 Simultaneous pectoral muscle and nipple location in MLO mammograms, considering image quality assumptions

E. García, R. Martí, J. Martí, J. del Riego, C. Aynes, A. Oliver, O. Diaz

Proceedings Volume 12286, 16th International Workshop on Breast Imaging (IWBI2022); 122860E (2022) https://doi.org/10.1117/12.2625778
Event: Sixteenth International Workshop on Breast Imaging, 2022, Leuven, Belgium

Abstract

Feature-based registration algorithms can be used to establish spatial correspondence between two image. Therefore, anatomical landmarks such as the breast boundary, pectoral muscle, nipple, duct and vessels need to be considered. The aim of this paper is to introduce a new approach which combine the pectoral muscle segmentation and nipple location, considering mammography quality assumptions. Pectoral muscle is initialized as a straight line from the top of the image to the nipple level. Afterwards, both pectoral muscle boundary and nipple position are optimized using an iterative approach. The results show that the nipple is localized on the contour of the corresponding area (error smaller than 10 mm) while the Dice’s coefficient of the pectoral muscle segmentation is equal to 0.84 ± 0.12 using a straight line which is improved using a Chan-Vese active contour approach, reaching 0.87 ± 0.13. Our algorithm is easily generalized and portable to a different mammographic system since it barely depends on images statistics -i.e. pixel intensity values-, and is just based on geometrical considerations.

Citation Download Citation

E. García, R. Martí, J. Martí, J. del Riego, C. Aynes, A. Oliver, and O. Diaz "Simultaneous pectoral muscle and nipple location in MLO mammograms, considering image quality assumptions", Proc. SPIE 12286, 16th International Workshop on Breast Imaging (IWBI2022), 122860E (13 July 2022); https://doi.org/10.1117/12.2625778

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Nipple

Breast

Image segmentation

Mammography

Image processing algorithms and systems

Image quality

Skin

Show All Keywords

Keywords/Phrases

Search In:

Publication Years