Iterative image subset scanning for image reconstruction from sensor signals

Giovanni Cherubini; Paul Hurley; Matthieu Simeoni; Sanaz Kazemi

doi:10.1109/ISSPIT.2015.7394413

Iterative image subset scanning for image reconstruction from sensor signals

Giovanni Cherubini, Paul Hurley, Matthieu Simeoni, Sanaz Kazemi

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

![CDATA[Image reconstruction techniques from signals received by sensors find application in several fields, including radio interferometry for astronomical investigations and magnetic resonance imaging for medical applications. This paper presents a novel method for image reconstruction based on the iterative scanning of a region of interest. A modified approximate message passing (AMP) algorithm is adopted to extract relevant image information with low computational complexity from signals received by sensors. The method is illustrated by simulations, with reference to the LOFAR radio interferometer, and compared in the case of radio astronomy with the CLEAN algorithm.]]

Original language	English
Title of host publication	Proceedings 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2015), 7-10 December 2015, Abu Dhabi, United Arab Emirates
Publisher	IEEE
Pages	629-634
Number of pages	6
ISBN (Print)	9781509004805
DOIs	https://doi.org/10.1109/ISSPIT.2015.7394413
Publication status	Published - 2015
Event	IEEE International Symposium on Signal Processing and Information Technology - Duration: 7 Dec 2015 → …

Conference

Conference	IEEE International Symposium on Signal Processing and Information Technology
Period	7/12/15 → …

Keywords

algorithms
image processing
magnetic resonance imaging
radio astronomy
radio telescopes
signal processing

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10.1109/ISSPIT.2015.7394413

Cite this

@inproceedings{1f68a1c6d3784fd58ac79d6568161b27,

title = "Iterative image subset scanning for image reconstruction from sensor signals",

abstract = "![CDATA[Image reconstruction techniques from signals received by sensors find application in several fields, including radio interferometry for astronomical investigations and magnetic resonance imaging for medical applications. This paper presents a novel method for image reconstruction based on the iterative scanning of a region of interest. A modified approximate message passing (AMP) algorithm is adopted to extract relevant image information with low computational complexity from signals received by sensors. The method is illustrated by simulations, with reference to the LOFAR radio interferometer, and compared in the case of radio astronomy with the CLEAN algorithm.]]",

keywords = "algorithms, image processing, magnetic resonance imaging, radio astronomy, radio telescopes, signal processing",

author = "Giovanni Cherubini and Paul Hurley and Matthieu Simeoni and Sanaz Kazemi",

year = "2015",

doi = "10.1109/ISSPIT.2015.7394413",

language = "English",

isbn = "9781509004805",

pages = "629--634",

booktitle = "Proceedings 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2015), 7-10 December 2015, Abu Dhabi, United Arab Emirates",

publisher = "IEEE",

note = "IEEE International Symposium on Signal Processing and Information Technology ; Conference date: 07-12-2015",

}

Cherubini, G, Hurley, P, Simeoni, M & Kazemi, S 2015, Iterative image subset scanning for image reconstruction from sensor signals. in Proceedings 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2015), 7-10 December 2015, Abu Dhabi, United Arab Emirates. IEEE, pp. 629-634, IEEE International Symposium on Signal Processing and Information Technology, 7/12/15. https://doi.org/10.1109/ISSPIT.2015.7394413

Iterative image subset scanning for image reconstruction from sensor signals. / Cherubini, Giovanni; Hurley, Paul; Simeoni, Matthieu et al.
Proceedings 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2015), 7-10 December 2015, Abu Dhabi, United Arab Emirates. IEEE, 2015. p. 629-634.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Iterative image subset scanning for image reconstruction from sensor signals

AU - Cherubini, Giovanni

AU - Hurley, Paul

AU - Simeoni, Matthieu

AU - Kazemi, Sanaz

PY - 2015

Y1 - 2015

N2 - ![CDATA[Image reconstruction techniques from signals received by sensors find application in several fields, including radio interferometry for astronomical investigations and magnetic resonance imaging for medical applications. This paper presents a novel method for image reconstruction based on the iterative scanning of a region of interest. A modified approximate message passing (AMP) algorithm is adopted to extract relevant image information with low computational complexity from signals received by sensors. The method is illustrated by simulations, with reference to the LOFAR radio interferometer, and compared in the case of radio astronomy with the CLEAN algorithm.]]

AB - ![CDATA[Image reconstruction techniques from signals received by sensors find application in several fields, including radio interferometry for astronomical investigations and magnetic resonance imaging for medical applications. This paper presents a novel method for image reconstruction based on the iterative scanning of a region of interest. A modified approximate message passing (AMP) algorithm is adopted to extract relevant image information with low computational complexity from signals received by sensors. The method is illustrated by simulations, with reference to the LOFAR radio interferometer, and compared in the case of radio astronomy with the CLEAN algorithm.]]

KW - algorithms

KW - image processing

KW - magnetic resonance imaging

KW - radio astronomy

KW - radio telescopes

KW - signal processing

UR - https://hdl.handle.net/1959.7/uws:52840

U2 - 10.1109/ISSPIT.2015.7394413

DO - 10.1109/ISSPIT.2015.7394413

M3 - Conference Paper

SN - 9781509004805

SP - 629

EP - 634

BT - Proceedings 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2015), 7-10 December 2015, Abu Dhabi, United Arab Emirates

PB - IEEE

T2 - IEEE International Symposium on Signal Processing and Information Technology

Y2 - 7 December 2015

ER -

Iterative image subset scanning for image reconstruction from sensor signals

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