DocumentCode :
3403029
Title :
A new data acquisition design for breast cancer detection system
Author :
Dung Nguyen ; Kui Ren ; Roveda, Janet
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Arizona at Tucson, Tucson, AZ, USA
fYear :
2013
fDate :
4-6 Sept. 2013
Firstpage :
61
Lastpage :
66
Abstract :
Modern mammography screening for breast cancer detection adopted computed tomography techniques and multi-dimensional (i.e. 3D or 4D) Tomosynthesis to improve cancer detection rate. These new trends demand novel SoC designs that can accommodate the increasing volume of raw data from multi-dimensional (i.e. 3D or 4D) Tomosynthesis with comparable X-ray dose. The current paper introduces two core technologies: Adaptive Digital Estimator (ADE) and Self-detecting sensory array based on Compressive Sensing (CS) concept and inter-reset sampling techniques. First of its kind, the new designs can simultaneously achieve high speed data acquisition and reduce data amount by an average of 40%.
Keywords :
cancer; compressed sensing; computerised tomography; data acquisition; image sampling; mammography; medical image processing; system-on-chip; ADE; Adaptive Digital Estimator; Compressive Sensing; Self-detecting sensory array; SoC designs; breast cancer detection system; cancer detection rate; comparable X-ray dose; computed tomography techniques; core technologies; data acquisition design; data amount reduction; high speed data acquisition; inter-reset sampling techniques; mammography screening; multidimensional tomosynthesis; raw data; Abstracts; Breast; Cancer; Chaos; Generators; Magnetic resonance imaging; Medical diagnostic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SOC Conference (SOCC), 2013 IEEE 26th International
Conference_Location :
Erlangen
ISSN :
2164-1676
Type :
conf
DOI :
10.1109/SOCC.2013.6749661
Filename :
6749661
Link To Document :
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