@inproceedings{48ce3c206ee74757a71520a9ddcd401e,
title = "Seeing the invisible: Limited-view imaging with multiple-scattering reconstruction",
abstract = "Traditional image reconstruction methods make a single-scattering assumption, which yields a linear optimization problem. In fact, the scattered field involves richer information because of the multiple-scattering terms, which can be enhanced into image reconstruction with nonlinear optimization. This is especially useful for limited-view imaging, where the forward scattering field cannot be measured. This paper demonstrates multiple-scattering reconstructions, outperforming conventional formulations in terms of imaging a larger potion of the object spectrum.",
author = "Mert Hidayetoglu and Hwu, {Wen Mei} and Chew, {Weng Cho}",
note = "Funding Information: ACKNOWLEDGEMENT This work was supported by NCSA Petascale Application Improvement Discovery Program and NSF grant EECS-1609195. Publisher Copyright: {\textcopyright} 2018 USNC-URSI.; 2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018 ; Conference date: 04-01-2018 Through 07-01-2018",
year = "2018",
month = feb,
day = "21",
language = "English (US)",
series = "2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--2",
booktitle = "2018 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2018",
address = "United States",
}