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

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: Contribution to journal › Article › peer-review

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 language	English (US)
Article number	6627842
Pages (from-to)	465-468
Number of pages	4
Journal	Proceedings - IEEE Symposium on Computer-Based Medical Systems
State	Published - 2013

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Computer Science Applications

Cite this

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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{\c c}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, {J. Ross} and Hara, {Amy K.} and Silva, {Alvin C.} and William Pavlicek",

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AU - Maia, Rafael Simon

AU - Jacob, Christian

AU - Mitchell, J. Ross

AU - Hara, Amy K.

AU - Silva, Alvin C.

AU - Pavlicek, William

PY - 2013

Y1 - 2013

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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.

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M1 - 6627842

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Parallel multi-material decomposition of Dual-Energy CT data

Abstract

ASJC Scopus subject areas

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