UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Towards Accurate Partial Volume Correction - Perturbation for SPECT Resolution Estimation

Gillen, R; Erlandsson, K; Denis-Bacelar, AM; Thielemans, K; Hutton, BF; McQuaid, S; (2022) Towards Accurate Partial Volume Correction - Perturbation for SPECT Resolution Estimation. In: Proceedings 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). (pp. pp. 1-3). IEEE Green open access

[thumbnail of MIC21_proceedings_RGillen_updated_nofooter.pdf]
Preview
Text
MIC21_proceedings_RGillen_updated_nofooter.pdf - Accepted Version

Download (345kB) | Preview

Abstract

The accuracy of quantitative SPECT imaging is limited by the Partial Volume Effect as a result of the relatively poor spatial resolution. There is currently no consensus on the optimal Partial Volume Correction (PVC) algorithm in the application of SPECT oncology imaging. Several promising candidates require information on the reconstructed resolution - usually in the form of the Point Spread Function (PSF). A particular challenge that SPECT poses for PVC is that the resolution is known to vary with position in the field-of-view, as well as with activity distribution and reconstruction method. In this work, we assessed the potential benefit of using perturbation to measure case-specific resolution for PVC. A small point source was used to measure the resolution in phantoms designed to replicate the issues encountered in oncology imaging, including anthropomorphic phantoms which had not previously been examined in perturbation applications. Results demonstrate that, provided that a sufficient number of iterations is used for image reconstruction, perturbation can be used to measure a case-specific PSF. When PVC is applied with this case-specific PSF, quantitative accuracy is improved compared with no correction or applying PVC with an inappropriate PSF.

Type: Proceedings paper
Title: Towards Accurate Partial Volume Correction - Perturbation for SPECT Resolution Estimation
Event: 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
Location: Piscataway, NJ, USA
Dates: 16th-23th October 2021
ISBN-13: 978-1-6654-2113-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/NSS/MIC44867.2021.9875672
Publisher version: https://doi.org/10.1109/NSS/MIC44867.2021.9875672
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10158291
Downloads since deposit
49Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item