Parallel multi-material decomposition of dual-energy CT data

Rafael Simon Maia, Christian Jacob, J. 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 - Dec 9 2013
Event26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 - Porto, Portugal
Duration: Jun 20 2013Jun 22 2013

Publication series

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

Other

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

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Fingerprint Dive into the research topics of 'Parallel multi-material decomposition of dual-energy CT data'. Together they form a unique fingerprint.

  • Cite this

    Maia, R. S., Jacob, C., Ross Mitchell, J., 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] (Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2013.6627842