Literature DB >> 18491514

Improvement of the spatial resolution of the MicroPET R4 scanner by wobbling the bed.

Joon Young Suk1, Christopher J Thompson, Aleks Labuda, Andrew L Goertzen.   

Abstract

The MicroPET R4 scanner was designed for imaging small rodents such as mice and rats. In many cases the spatial resolution of this system is not sufficient for resolving structures of interest. In order to improve the spatial resolution of the MicroPET R4 through improved spatial sampling, the authors have implemented a variable radius eccentric motion, commonly referred to as wobbling, which is applied to the animal bed during scanning. The wobble motion is incorporated into the sinograms using modified histogramming software, capable of reading the bed wobble position from the list-mode data. The histogramming software corrects the data for the dwell time, apparent crystal location, and crystal-pair efficiency and applies a resolution matching filter. The data acquisition, reconstruction, and image display programs provided from the manufacturer required no modifications. For all studies a wobble period of 8 s was used. The optimal wobble radius was found to be 1.50 mm. The wobbled bed acquisition technique was tested by scanning a resolution phantom and a rat. Images from both studies acquired when using the wobble motion showed an improved spatial resolution when compared with comparable images acquired without the wobble motion. The bed wobbling mechanism can be added to any MicroPET system without major changes and without compromising any imaging modes. Implementing the wobble mechanism may represent a cost-effective method to upgrade the spatial resolution of a MicroPET when compared to the purchase of a newer generation system.

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Year:  2008        PMID: 18491514     DOI: 10.1118/1.2868760

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  5 in total

1.  Image reconstructions from super-sampled data sets with resolution modeling in PET imaging.

Authors:  Yusheng Li; Samuel Matej; Scott D Metzler
Journal:  Med Phys       Date:  2014-12       Impact factor: 4.071

2.  LOR-interleaving image reconstruction for PET imaging with fractional-crystal collimation.

Authors:  Yusheng Li; Samuel Matej; Joel S Karp; Scott D Metzler
Journal:  Phys Med Biol       Date:  2015-01-02       Impact factor: 3.609

3.  Resolution Enhancement in PET Reconstruction Using Collimation.

Authors:  Scott D Metzler; Samuel Matej; Joel S Karp
Journal:  IEEE Trans Nucl Sci       Date:  2013-02       Impact factor: 1.679

4.  Tomographic imaging with Compton PET modules: ideal case and first implementation.

Authors:  P Peng; M Zhang; N Zeraatkar; J Qi; S R Cherry
Journal:  J Instrum       Date:  2021-04-30       Impact factor: 1.415

5.  Brain PET motion correction using 3D face-shape model: the first clinical study.

Authors:  Yuma Iwao; Go Akamatsu; Hideaki Tashima; Miwako Takahashi; Taiga Yamaya
Journal:  Ann Nucl Med       Date:  2022-07-19       Impact factor: 2.258

  5 in total

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