@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{\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 {Ross Mitchell}, J. and Hara, {Amy K.} and Silva, {Alvin C.} and William Pavlicek",
year = "2013",
doi = "10.1109/CBMS.2013.6627842",
language = "English (US)",
isbn = "9781479910533",
series = "Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems",
pages = "465--468",
booktitle = "Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems",
note = "26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 ; Conference date: 20-06-2013 Through 22-06-2013",
}