Literature DB >> 22331217

Methods for motion correction evaluation using 18F-FDG human brain scans on a high-resolution PET scanner.

Sune H Keller1, Merence Sibomana, Oline V Olesen, Claus Svarer, Søren Holm, Flemming L Andersen, Liselotte Højgaard.   

Abstract

UNLABELLED: Many authors have reported the importance of motion correction (MC) for PET. Patient motion during scanning disturbs kinetic analysis and degrades resolution. In addition, using misaligned transmission for attenuation and scatter correction may produce regional quantification bias in the reconstructed emission images. The purpose of this work was the development of quality control (QC) methods for MC procedures based on external motion tracking (EMT) for human scanning using an optical motion tracking system.
METHODS: Two scans with minor motion and 5 with major motion (as reported by the optical motion tracking system) were selected from (18)F-FDG scans acquired on a PET scanner. The motion was measured as the maximum displacement of the markers attached to the subject's head and was considered to be major if larger than 4 mm and minor if less than 2 mm. After allowing a 40- to 60-min uptake time after tracer injection, we acquired a 6-min transmission scan, followed by a 40-min emission list-mode scan. Each emission list-mode dataset was divided into 8 frames of 5 min. The reconstructed time-framed images were aligned to a selected reference frame using either EMT or the AIR (automated image registration) software. The following 3 QC methods were used to evaluate the EMT and AIR MC: a method using the ratio between 2 regions of interest with gray matter voxels (GM) and white matter voxels (WM), called GM/WM; mutual information; and cross correlation.
RESULTS: The results of the 3 QC methods were in agreement with one another and with a visual subjective inspection of the image data. Before MC, the QC method measures varied significantly in scans with major motion and displayed limited variations on scans with minor motion. The variation was significantly reduced and measures improved after MC with AIR, whereas EMT MC performed less well.
CONCLUSION: The 3 presented QC methods produced similar results and are useful for evaluating tracer-independent external-tracking motion-correction methods for human brain scans.

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Year:  2012        PMID: 22331217     DOI: 10.2967/jnumed.111.095240

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  12 in total

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Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

4.  The Role of Dopamine in Value-Based Attentional Orienting.

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Journal:  Curr Biol       Date:  2016-02-11       Impact factor: 10.834

5.  Performance evaluation of dedicated brain PET scanner with motion correction system.

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6.  Dopamine and Opioid Neurotransmission in Behavioral Addictions: A Comparative PET Study in Pathological Gambling and Binge Eating.

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7.  Adaptive data-driven motion detection and optimized correction for brain PET.

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8.  Automated movement correction for dynamic PET/CT images: evaluation with phantom and patient data.

Authors:  Hu Ye; Koon-Pong Wong; Mirwais Wardak; Magnus Dahlbom; Vladimir Kepe; Jorge R Barrio; Linda D Nelson; Gary W Small; Sung-Cheng Huang
Journal:  PLoS One       Date:  2014-08-11       Impact factor: 3.240

9.  Motion correction in simultaneous PET/MR brain imaging using sparsely sampled MR navigators: a clinically feasible tool.

Authors:  Sune H Keller; Casper Hansen; Christian Hansen; Flemming L Andersen; Claes Ladefoged; Claus Svarer; Andreas Kjær; Liselotte Højgaard; Ian Law; Otto M Henriksen; Adam E Hansen
Journal:  EJNMMI Phys       Date:  2015-07-16

10.  Impact of image-based motion correction on dopamine D3/D2 receptor occupancy-comparison of groupwise and frame-by-frame registration approaches.

Authors:  Jieqing Jiao; Graham E Searle; Julia A Schnabel; Roger N Gunn
Journal:  EJNMMI Phys       Date:  2015-07-29
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