Point spread function optimization in SPECT

A. Bousse; N. Fuin; K. Erlandsson; S. Pedemonte; D. Kazantsev; S. Ourselin; S. Arridge; B. F. Hutton

doi:10.1109/NSSMIC.2010.5874139

Point spread function optimization in SPECT

A. Bousse^*, N. Fuin, K. Erlandsson, S. Pedemonte, D. Kazantsev, S. Ourselin, S. Arridge, B. F. Hutton

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper we propose a novel method for collimator design in single photon emission tomography (SPECT). The challenge here is to find a practical collimator design that allows good recovery and good sensitivity. Instead of working on the collimator's shape, the problem is addressed by optimizing the point spread function (PSF) with respect to the performance of the reconstruction algorithm in terms of resolution modelling. The optimization is based on an object-dependent cost function that takes into account bother recovery coefficient (RC) and sensitivity. Therefore, for each object considered a different optimal PSF is expected. Once a PSF is obtained, we assess its performances by plotting the coefficient of variation (COV) versus the recovery coefficient (RC) at each iteration of a maximum likelihood maximization expectation (MLEM) algorithm. We performed our experiments on two-dimensional (2-D) geometric phantoms, in order to investigate the relationship between the optimal PSF and the object geometrical properties, as well as on a 2-D brain activity phantom. We show that the optimized PSF's lead to resolution models that improve both image resolution and signal to noise ratio.

Original language	English
Title of host publication	IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010
Pages	2061-2065
Number of pages	5
DOIs	https://doi.org/10.1109/NSSMIC.2010.5874139
Publication status	Published - 2010
Event	2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 - Knoxville, TN, United States Duration: 30 Oct 2010 → 6 Nov 2010

Other

Other	2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010
Country/Territory	United States
City	Knoxville, TN
Period	30/10/10 → 6/11/10

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10.1109/NSSMIC.2010.5874139

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@inproceedings{b78d966ae45246c59f00e06ea9db1e90,

title = "Point spread function optimization in SPECT",

abstract = "In this paper we propose a novel method for collimator design in single photon emission tomography (SPECT). The challenge here is to find a practical collimator design that allows good recovery and good sensitivity. Instead of working on the collimator's shape, the problem is addressed by optimizing the point spread function (PSF) with respect to the performance of the reconstruction algorithm in terms of resolution modelling. The optimization is based on an object-dependent cost function that takes into account bother recovery coefficient (RC) and sensitivity. Therefore, for each object considered a different optimal PSF is expected. Once a PSF is obtained, we assess its performances by plotting the coefficient of variation (COV) versus the recovery coefficient (RC) at each iteration of a maximum likelihood maximization expectation (MLEM) algorithm. We performed our experiments on two-dimensional (2-D) geometric phantoms, in order to investigate the relationship between the optimal PSF and the object geometrical properties, as well as on a 2-D brain activity phantom. We show that the optimized PSF's lead to resolution models that improve both image resolution and signal to noise ratio.",

author = "A. Bousse and N. Fuin and K. Erlandsson and S. Pedemonte and D. Kazantsev and S. Ourselin and S. Arridge and Hutton, {B. F.}",

year = "2010",

doi = "10.1109/NSSMIC.2010.5874139",

language = "English",

isbn = "9781424491063",

pages = "2061--2065",

booktitle = "IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010",

note = "2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 ; Conference date: 30-10-2010 Through 06-11-2010",

}

Bousse, A, Fuin, N, Erlandsson, K, Pedemonte, S, Kazantsev, D, Ourselin, S, Arridge, S & Hutton, BF 2010, Point spread function optimization in SPECT. in IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010., 5874139, pp. 2061-2065, 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010, Knoxville, TN, United States, 30/10/10. https://doi.org/10.1109/NSSMIC.2010.5874139

TY - GEN

T1 - Point spread function optimization in SPECT

AU - Bousse, A.

AU - Fuin, N.

AU - Erlandsson, K.

AU - Pedemonte, S.

AU - Kazantsev, D.

AU - Ourselin, S.

AU - Arridge, S.

AU - Hutton, B. F.

PY - 2010

Y1 - 2010

N2 - In this paper we propose a novel method for collimator design in single photon emission tomography (SPECT). The challenge here is to find a practical collimator design that allows good recovery and good sensitivity. Instead of working on the collimator's shape, the problem is addressed by optimizing the point spread function (PSF) with respect to the performance of the reconstruction algorithm in terms of resolution modelling. The optimization is based on an object-dependent cost function that takes into account bother recovery coefficient (RC) and sensitivity. Therefore, for each object considered a different optimal PSF is expected. Once a PSF is obtained, we assess its performances by plotting the coefficient of variation (COV) versus the recovery coefficient (RC) at each iteration of a maximum likelihood maximization expectation (MLEM) algorithm. We performed our experiments on two-dimensional (2-D) geometric phantoms, in order to investigate the relationship between the optimal PSF and the object geometrical properties, as well as on a 2-D brain activity phantom. We show that the optimized PSF's lead to resolution models that improve both image resolution and signal to noise ratio.

AB - In this paper we propose a novel method for collimator design in single photon emission tomography (SPECT). The challenge here is to find a practical collimator design that allows good recovery and good sensitivity. Instead of working on the collimator's shape, the problem is addressed by optimizing the point spread function (PSF) with respect to the performance of the reconstruction algorithm in terms of resolution modelling. The optimization is based on an object-dependent cost function that takes into account bother recovery coefficient (RC) and sensitivity. Therefore, for each object considered a different optimal PSF is expected. Once a PSF is obtained, we assess its performances by plotting the coefficient of variation (COV) versus the recovery coefficient (RC) at each iteration of a maximum likelihood maximization expectation (MLEM) algorithm. We performed our experiments on two-dimensional (2-D) geometric phantoms, in order to investigate the relationship between the optimal PSF and the object geometrical properties, as well as on a 2-D brain activity phantom. We show that the optimized PSF's lead to resolution models that improve both image resolution and signal to noise ratio.

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U2 - 10.1109/NSSMIC.2010.5874139

DO - 10.1109/NSSMIC.2010.5874139

M3 - Conference proceeding contribution

AN - SCOPUS:79960300147

SN - 9781424491063

SP - 2061

EP - 2065

BT - IEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010

T2 - 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010

Y2 - 30 October 2010 through 6 November 2010

ER -

Point spread function optimization in SPECT

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