Efficient image acquisition design for a cancer detection system

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

Abstract

Modern imaging modalities, such as Computed Tomography (CT), Digital Breast Tomosynthesis (DBT) or Magnetic Resonance Tomography (MRT) are able to acquire volumetric images with an isotropic resolution in micrometer (um) or millimeter (mm) range. When used in interactive telemedicine applications, these raw images need a huge storage unit, thereby necessitating the use of high bandwidth data communication link. To reduce the cost of transmission and enable archiving, especially for medical applications, image compression is performed. Recent advances in compression algorithms have resulted in a vast array of data compression techniques, but because of the characteristics of these images, there are challenges to overcome to transmit these images efficiently. In addition, the recent studies raise the low dose mammography risk on high risk patient. Our preliminary studies indicate that by bringing the compression before the analog-to-digital conversion (ADC) stage is more efficient than other compression techniques after the ADC. The linearity characteristic of the compressed sensing and ability to perform the digital signal processing (DSP) during data conversion open up a new area of research regarding the roles of sparsity in medical image registration, medical image analysis (for example, automatic image processing algorithm to efficiently extract the relevant information for the clinician), further Xray dose reduction for mammography, and contrast enhancement.

Original languageEnglish (US)
Title of host publicationMedical Applications of Radiation Detectors III
DOIs
StatePublished - Nov 18 2013
EventMedical Applications of Radiation Detectors III - San Diego, CA, United States
Duration: Aug 28 2013Aug 29 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8853
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherMedical Applications of Radiation Detectors III
CountryUnited States
CitySan Diego, CA
Period8/28/138/29/13

Keywords

  • Image acquisition
  • Inter-Reset-Sampling (IRS)
  • cancer detection
  • compressed sensing
  • cost of transmission
  • digital signal processing
  • high dynamic range (HDR) and Bayesian Estimation.
  • image compression
  • interactive telemedicine

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Nguyen, D., Roehrig, H., Borders, M. H., Fitzpatrick, K. A., & Roveda, J. (2013). Efficient image acquisition design for a cancer detection system. In Medical Applications of Radiation Detectors III [88530K] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8853). https://doi.org/10.1117/12.2029781