Monotonic algorithm for joint entropy-based anatomical priors in parametric PET image reconstruction

Alexandre Bousse; Christos Panagiotou; Kjell Erlandsson; Sebastien Ourselin; Simon Arridge; Brian F. Hutton

doi:10.1109/NSSMIC.2012.6551899

Monotonic algorithm for joint entropy-based anatomical priors in parametric PET image reconstruction

Alexandre Bousse, Christos Panagiotou, Kjell Erlandsson, Sebastien Ourselin, Simon Arridge, Brian F. Hutton

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

3 Citations (Scopus)

Abstract

In this paper we aim reconstruct kinetic parameters directly from dynamic PET sinograms. The reconstruction is performed by maximising the log-likelihood with a penalty term that is based on the joint-entropy (JE) with an anatomical prior. We used the surrogates by another group, combined with our own surrogates for the JE term. We developed 2 methods: the first method utilises the JE of the dynamic activity and the anatomical prior and the second one utilises the JE of the parameters and the anatomical priors. Results show the 2 approaches are monotonic and perform better than non-anatomically driven reconstruction in absence of inconsistencies between the activity and the anatomical prior. Also results suggest it is better to apply the prior on the dynamic activity rather than on the parameters.

Original language	English
Title of host publication	2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
Pages	3918-3924
Number of pages	7
DOIs	https://doi.org/10.1109/NSSMIC.2012.6551899
Publication status	Published - 2012
Event	2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012 - Anaheim, CA, United States Duration: 29 Oct 2012 → 3 Nov 2012

Other

Other	2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
Country/Territory	United States
City	Anaheim, CA
Period	29/10/12 → 3/11/12

Keywords

joint-entropy
Parametric image reconstruction
surrogates

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10.1109/NSSMIC.2012.6551899

Cite this

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title = "Monotonic algorithm for joint entropy-based anatomical priors in parametric PET image reconstruction",

abstract = "In this paper we aim reconstruct kinetic parameters directly from dynamic PET sinograms. The reconstruction is performed by maximising the log-likelihood with a penalty term that is based on the joint-entropy (JE) with an anatomical prior. We used the surrogates by another group, combined with our own surrogates for the JE term. We developed 2 methods: the first method utilises the JE of the dynamic activity and the anatomical prior and the second one utilises the JE of the parameters and the anatomical priors. Results show the 2 approaches are monotonic and perform better than non-anatomically driven reconstruction in absence of inconsistencies between the activity and the anatomical prior. Also results suggest it is better to apply the prior on the dynamic activity rather than on the parameters.",

keywords = "joint-entropy, Parametric image reconstruction, surrogates",

author = "Alexandre Bousse and Christos Panagiotou and Kjell Erlandsson and Sebastien Ourselin and Simon Arridge and Hutton, {Brian F.}",

year = "2012",

doi = "10.1109/NSSMIC.2012.6551899",

language = "English",

isbn = "9781467320306",

pages = "3918--3924",

booktitle = "2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012",

note = "2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012 ; Conference date: 29-10-2012 Through 03-11-2012",

}

Bousse, A, Panagiotou, C, Erlandsson, K, Ourselin, S, Arridge, S & Hutton, BF 2012, Monotonic algorithm for joint entropy-based anatomical priors in parametric PET image reconstruction. in 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012., 6551899, pp. 3918-3924, 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012, Anaheim, CA, United States, 29/10/12. https://doi.org/10.1109/NSSMIC.2012.6551899

Monotonic algorithm for joint entropy-based anatomical priors in parametric PET image reconstruction. / Bousse, Alexandre; Panagiotou, Christos; Erlandsson, Kjell et al.
2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012. 2012. p. 3918-3924 6551899.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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T1 - Monotonic algorithm for joint entropy-based anatomical priors in parametric PET image reconstruction

AU - Bousse, Alexandre

AU - Panagiotou, Christos

AU - Erlandsson, Kjell

AU - Ourselin, Sebastien

AU - Arridge, Simon

AU - Hutton, Brian F.

PY - 2012

Y1 - 2012

N2 - In this paper we aim reconstruct kinetic parameters directly from dynamic PET sinograms. The reconstruction is performed by maximising the log-likelihood with a penalty term that is based on the joint-entropy (JE) with an anatomical prior. We used the surrogates by another group, combined with our own surrogates for the JE term. We developed 2 methods: the first method utilises the JE of the dynamic activity and the anatomical prior and the second one utilises the JE of the parameters and the anatomical priors. Results show the 2 approaches are monotonic and perform better than non-anatomically driven reconstruction in absence of inconsistencies between the activity and the anatomical prior. Also results suggest it is better to apply the prior on the dynamic activity rather than on the parameters.

AB - In this paper we aim reconstruct kinetic parameters directly from dynamic PET sinograms. The reconstruction is performed by maximising the log-likelihood with a penalty term that is based on the joint-entropy (JE) with an anatomical prior. We used the surrogates by another group, combined with our own surrogates for the JE term. We developed 2 methods: the first method utilises the JE of the dynamic activity and the anatomical prior and the second one utilises the JE of the parameters and the anatomical priors. Results show the 2 approaches are monotonic and perform better than non-anatomically driven reconstruction in absence of inconsistencies between the activity and the anatomical prior. Also results suggest it is better to apply the prior on the dynamic activity rather than on the parameters.

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KW - Parametric image reconstruction

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BT - 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012

T2 - 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012

Y2 - 29 October 2012 through 3 November 2012

ER -

Monotonic algorithm for joint entropy-based anatomical priors in parametric PET image reconstruction

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