A new data acquisition design for breast cancer detection system

Dung Nguyen, Kui Ren, Janet Roveda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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%.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 26th International SOC Conference, SOCC 2013
PublisherIEEE Computer Society
Pages61-66
Number of pages6
ISBN (Print)9781479911660
DOIs
StatePublished - 2013
Event26th IEEE International System-on-Chip Conference, SOCC 2013 - Erlangen, Germany
Duration: Sep 4 2013Sep 6 2013

Publication series

NameInternational System on Chip Conference
ISSN (Print)2164-1676
ISSN (Electronic)2164-1706

Other

Other26th IEEE International System-on-Chip Conference, SOCC 2013
CountryGermany
CityErlangen
Period9/4/139/6/13

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A new data acquisition design for breast cancer detection system'. Together they form a unique fingerprint.

Cite this