The University of Southampton
University of Southampton Institutional Repository

A back-projection approach to coded aperture imaging for SPECT applications

A back-projection approach to coded aperture imaging for SPECT applications
A back-projection approach to coded aperture imaging for SPECT applications
This work applies a back-projection approach to the reconstruction of images obtained with a 3D near-field coded aperture camera, a method derived from that used to analyse astronomical data collected by the INTEGRAL/IBIS instrument.1 The method used in this paper is a form of deconvolution that updates the image as the camera or the object under observation is moving, and as such could be applied to dynamic studies or as a real-time surgical probe. Multi-isotope parathyroid imaging has been identified as one of the optimal applications of this technique, where high sensitivity and high energy resolution would permit the differentiation between thyroid and parathyroid tissues on the surgical table, and aid in different types of thyroid surgery. The back-projection technique is combined with a 3D version of the iterative CLEAN algorithm, which reduces the effect of the systematic noise intrinsic to imaging with a non-perfect aperture.
SPIE
Costantino, Alessandra
5b97f250-bfc4-4b92-b3bd-177c0e6944db
Bird, Antony
045ee141-4720-46fd-a412-5aa848a91b32
Scuffham, James
80b0385f-dd6d-4663-aad8-d2b7aed7051f
Guy, Matthew
473bbb88-641b-40a5-b22d-221bc048eeb5
Zhao, Wei
Yu, Lifeng
Costantino, Alessandra
5b97f250-bfc4-4b92-b3bd-177c0e6944db
Bird, Antony
045ee141-4720-46fd-a412-5aa848a91b32
Scuffham, James
80b0385f-dd6d-4663-aad8-d2b7aed7051f
Guy, Matthew
473bbb88-641b-40a5-b22d-221bc048eeb5
Zhao, Wei
Yu, Lifeng

Costantino, Alessandra, Bird, Antony, Scuffham, James and Guy, Matthew (2022) A back-projection approach to coded aperture imaging for SPECT applications. Zhao, Wei and Yu, Lifeng (eds.) In Medical Imaging 2022: Physics of Medical Imaging. vol. 12031, SPIE. 11 pp . (doi:10.1117/12.2610979).

Record type: Conference or Workshop Item (Paper)

Abstract

This work applies a back-projection approach to the reconstruction of images obtained with a 3D near-field coded aperture camera, a method derived from that used to analyse astronomical data collected by the INTEGRAL/IBIS instrument.1 The method used in this paper is a form of deconvolution that updates the image as the camera or the object under observation is moving, and as such could be applied to dynamic studies or as a real-time surgical probe. Multi-isotope parathyroid imaging has been identified as one of the optimal applications of this technique, where high sensitivity and high energy resolution would permit the differentiation between thyroid and parathyroid tissues on the surgical table, and aid in different types of thyroid surgery. The back-projection technique is combined with a 3D version of the iterative CLEAN algorithm, which reduces the effect of the systematic noise intrinsic to imaging with a non-perfect aperture.

Text
1203139 - Version of Record
Available under License Other.
Download (6MB)

More information

Published date: 4 April 2022
Venue - Dates: SPIE Medical Imaging, San Diego, United States, San Diego, United States, 2022-02-20 - 2022-03-28

Identifiers

Local EPrints ID: 486258
URI: http://eprints.soton.ac.uk/id/eprint/486258
PURE UUID: d695c8c6-3832-45f1-bfc4-915ce8a76f3b
ORCID for Antony Bird: ORCID iD orcid.org/0000-0002-6888-8937

Catalogue record

Date deposited: 16 Jan 2024 17:33
Last modified: 18 Mar 2024 02:39

Export record

Altmetrics

Contributors

Author: Antony Bird ORCID iD
Author: James Scuffham
Author: Matthew Guy
Editor: Wei Zhao
Editor: Lifeng Yu

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×