Amplitude-based data selection for optimal retrospective reconstruction in micro-SPECT.

Abstract:

:Respiratory motion can blur the tomographic reconstruction of positron emission tomography or single-photon emission computed tomography (SPECT) images, which subsequently impair quantitative measurements, e.g. in the upper abdomen area. Respiratory signal phase-based gated reconstruction addresses this problem, but deteriorates the signal-to-noise ratio (SNR) and other intensity-based quality measures. This paper proposes a 3D reconstruction method dedicated to micro-SPECT imaging of mice. From a 4D acquisition, the phase images exhibiting motion are identified and the associated list-mode data are discarded, which enables the reconstruction of a 3D image without respiratory artefacts. The proposed method allows a motion-free reconstruction exhibiting both satisfactory count statistics and accuracy of measures. With respect to standard 3D reconstruction (non-gated 3D reconstruction) without breathing motion correction, an increase of 14.6% of the mean standardized uptake value has been observed, while, with respect to a gated 4D reconstruction, up to 60% less noise and an increase of up to 124% of the SNR have been demonstrated.

journal_name

Phys Med Biol

authors

Breuilly M,Malandain G,Guglielmi J,Marsault R,Pourcher T,Franken PR,Darcourt J

doi

10.1088/0031-9155/58/8/2657

subject

Has Abstract

pub_date

2013-04-21 00:00:00

pages

2657-74

issue

8

eissn

0031-9155

issn

1361-6560

journal_volume

58

pub_type

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