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 publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8853
DOIs
StatePublished - 2013
EventMedical Applications of Radiation Detectors III - San Diego, CA, United States
Duration: Aug 28 2013Aug 29 2013

Other

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

Fingerprint

Mammography
Image Acquisition
Image acquisition
Analog to digital conversion
Tomography
acquisition
Cancer
cancer
Compressed sensing
Telemedicine
Compression
Image registration
Data compression
Medical applications
Magnetic resonance
Image compression
Digital signal processing
Image analysis
Telecommunication links
Dose

Keywords

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

ASJC Scopus subject areas

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

Cite this

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

Efficient image acquisition design for a cancer detection system. / Nguyen, Dung; Roehrig, Hans; Borders, Marisa H; Fitzpatrick, Kimberly A; Wang, Meiling.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8853 2013. 88530K.

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

Nguyen, D, Roehrig, H, Borders, MH, Fitzpatrick, KA & Wang, M 2013, Efficient image acquisition design for a cancer detection system. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8853, 88530K, Medical Applications of Radiation Detectors III, San Diego, CA, United States, 8/28/13. https://doi.org/10.1117/12.2029781
Nguyen D, Roehrig H, Borders MH, Fitzpatrick KA, Wang M. Efficient image acquisition design for a cancer detection system. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8853. 2013. 88530K https://doi.org/10.1117/12.2029781
Nguyen, Dung ; Roehrig, Hans ; Borders, Marisa H ; Fitzpatrick, Kimberly A ; Wang, Meiling. / Efficient image acquisition design for a cancer detection system. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8853 2013.
@inproceedings{4e1159d19b6f43a7af9e5e11b66840e0,
title = "Efficient image acquisition design for a cancer detection system",
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.",
keywords = "cancer detection, compressed sensing, cost of transmission, digital signal processing, high dynamic range (HDR) and Bayesian Estimation., Image acquisition, image compression, Inter-Reset-Sampling (IRS), interactive telemedicine",
author = "Dung Nguyen and Hans Roehrig and Borders, {Marisa H} and Fitzpatrick, {Kimberly A} and Meiling Wang",
year = "2013",
doi = "10.1117/12.2029781",
language = "English (US)",
isbn = "9780819497031",
volume = "8853",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - Efficient image acquisition design for a cancer detection system

AU - Nguyen, Dung

AU - Roehrig, Hans

AU - Borders, Marisa H

AU - Fitzpatrick, Kimberly A

AU - Wang, Meiling

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - cancer detection

KW - compressed sensing

KW - cost of transmission

KW - digital signal processing

KW - high dynamic range (HDR) and Bayesian Estimation.

KW - Image acquisition

KW - image compression

KW - Inter-Reset-Sampling (IRS)

KW - interactive telemedicine

UR - http://www.scopus.com/inward/record.url?scp=84887434054&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84887434054&partnerID=8YFLogxK

U2 - 10.1117/12.2029781

DO - 10.1117/12.2029781

M3 - Conference contribution

AN - SCOPUS:84887434054

SN - 9780819497031

VL - 8853

BT - Proceedings of SPIE - The International Society for Optical Engineering

ER -