DocumentCode :
561462
Title :
Advances in X-ray breast imaging using digital tomosynthesis
Author :
Pallikarakis, Nicolas ; Bliznakova, Kristina
Author_Institution :
Dept. of Med. Phys., Univ. of Patras, Patras, Greece
fYear :
2011
fDate :
24-26 Nov. 2011
Firstpage :
1
Lastpage :
6
Abstract :
Breast cancer remains the most common cause of death for women below seventy years of age. In Europe, one in ten women develops this type of cancer in her lifetime, while in United States, it is the second leading cause of cancer death. Early diagnosis is recognised as a critical factor that improves the chance of survival. X-ray Mammography is considered the best practice for screening and early diagnosis. Despite technological advances that led to the introduction of digital mammography, screening and diagnosing remains a challenging task. Digital Breast Tomosynthesis (DBT) is a novel imaging technique that has the potential to extract additional diagnostic information in comparison to conventional mammographic images. In DBT, a limited number of projections are acquired over a limited angular range. The imaged volume is reconstructed from the two-dimensional projections and provides three-dimensional structural information of the breast. Recently, two commercial DBT products have been approved by FDA and placed on the market. This work addresses the most recent advances in x-ray breast imaging using this novel 3D imaging technique, to bring in focus small abnormalities and low contrast masses.
Keywords :
X-ray imaging; cancer; computerised tomography; image reconstruction; mammography; medical image processing; 2D iamge projections; 3D imaging technique; 3D structural information; X-ray breast imaging; X-ray mammography; breast cancer diagnosis; breast cancer early diagnosis; breast cancer screening; digital breast tomosynthesis; digital mammography; imaged volume reconstruction; low contrast masses; small mammographic abnormalities; Breast; Geometry; Image reconstruction; Phantoms; Reconstruction algorithms; X-ray imaging; Clinical Studies; Digital Breast Tomosynthesis; Modeling and Simulation; Reconstruction Algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2011
Conference_Location :
Iasi
Print_ISBN :
978-1-4577-0292-1
Type :
conf
Filename :
6150412
Link To Document :
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