Parallel multi-material decomposition of dual-energy CT data

Rafael Simon Maia, Christian Jacob, Joseph Ross Mitchell, Amy K. Hara, Alvin C Silva, William Pavlicek

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

Abstract

Dual-Energy Computed Tomography (DECT) is a new modality of CT where two images are acquired simultaneously at two energy levels, and then decomposed into two material density images. It is also possible to further decompose these images into volume fraction images that approximate the percentage of a given material at each pixel. Here, we describe a novel parallel version of the multilateral decomposition algorithm proposed by Mendonça et al., which is used to obtain volume fraction images. Our parallel version accelerates decomposition by 200x. We also discuss some of the algorithm limitations.

Original languageEnglish (US)
Title of host publicationProceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems
Pages465-468
Number of pages4
DOIs
StatePublished - 2013
Event26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 - Porto, Portugal
Duration: Jun 20 2013Jun 22 2013

Other

Other26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013
CountryPortugal
CityPorto
Period6/20/136/22/13

Fingerprint

Volume fraction
Decomposition
Electron energy levels
Tomography
Pixels

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Cite this

Maia, R. S., Jacob, C., Mitchell, J. R., Hara, A. K., Silva, A. C., & Pavlicek, W. (2013). Parallel multi-material decomposition of dual-energy CT data. In Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems (pp. 465-468). [6627842] https://doi.org/10.1109/CBMS.2013.6627842

Parallel multi-material decomposition of dual-energy CT data. / Maia, Rafael Simon; Jacob, Christian; Mitchell, Joseph Ross; Hara, Amy K.; Silva, Alvin C; Pavlicek, William.

Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems. 2013. p. 465-468 6627842.

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

Maia, RS, Jacob, C, Mitchell, JR, Hara, AK, Silva, AC & Pavlicek, W 2013, Parallel multi-material decomposition of dual-energy CT data. in Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems., 6627842, pp. 465-468, 26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013, Porto, Portugal, 6/20/13. https://doi.org/10.1109/CBMS.2013.6627842
Maia RS, Jacob C, Mitchell JR, Hara AK, Silva AC, Pavlicek W. Parallel multi-material decomposition of dual-energy CT data. In Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems. 2013. p. 465-468. 6627842 https://doi.org/10.1109/CBMS.2013.6627842
Maia, Rafael Simon ; Jacob, Christian ; Mitchell, Joseph Ross ; Hara, Amy K. ; Silva, Alvin C ; Pavlicek, William. / Parallel multi-material decomposition of dual-energy CT data. Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems. 2013. pp. 465-468
@inproceedings{d9e0663f25144229a8b6f32ec16f0436,
title = "Parallel multi-material decomposition of dual-energy CT data",
abstract = "Dual-Energy Computed Tomography (DECT) is a new modality of CT where two images are acquired simultaneously at two energy levels, and then decomposed into two material density images. It is also possible to further decompose these images into volume fraction images that approximate the percentage of a given material at each pixel. Here, we describe a novel parallel version of the multilateral decomposition algorithm proposed by Mendon{\cc}a et al., which is used to obtain volume fraction images. Our parallel version accelerates decomposition by 200x. We also discuss some of the algorithm limitations.",
author = "Maia, {Rafael Simon} and Christian Jacob and Mitchell, {Joseph Ross} and Hara, {Amy K.} and Silva, {Alvin C} and William Pavlicek",
year = "2013",
doi = "10.1109/CBMS.2013.6627842",
language = "English (US)",
isbn = "9781479910533",
pages = "465--468",
booktitle = "Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems",

}

TY - GEN

T1 - Parallel multi-material decomposition of dual-energy CT data

AU - Maia, Rafael Simon

AU - Jacob, Christian

AU - Mitchell, Joseph Ross

AU - Hara, Amy K.

AU - Silva, Alvin C

AU - Pavlicek, William

PY - 2013

Y1 - 2013

N2 - Dual-Energy Computed Tomography (DECT) is a new modality of CT where two images are acquired simultaneously at two energy levels, and then decomposed into two material density images. It is also possible to further decompose these images into volume fraction images that approximate the percentage of a given material at each pixel. Here, we describe a novel parallel version of the multilateral decomposition algorithm proposed by Mendonça et al., which is used to obtain volume fraction images. Our parallel version accelerates decomposition by 200x. We also discuss some of the algorithm limitations.

AB - Dual-Energy Computed Tomography (DECT) is a new modality of CT where two images are acquired simultaneously at two energy levels, and then decomposed into two material density images. It is also possible to further decompose these images into volume fraction images that approximate the percentage of a given material at each pixel. Here, we describe a novel parallel version of the multilateral decomposition algorithm proposed by Mendonça et al., which is used to obtain volume fraction images. Our parallel version accelerates decomposition by 200x. We also discuss some of the algorithm limitations.

UR - http://www.scopus.com/inward/record.url?scp=84888993795&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84888993795&partnerID=8YFLogxK

U2 - 10.1109/CBMS.2013.6627842

DO - 10.1109/CBMS.2013.6627842

M3 - Conference contribution

SN - 9781479910533

SP - 465

EP - 468

BT - Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems

ER -