Influence of Rotation Increments on Imaging Performance for a Rotatory Dual-Head PET System.

For a rotatory dual-head positron emission tomography (PET) system, how to determine the rotation increments is an open problem. In this study, we simulated the characteristics of a rotatory dual-head PET system. The influences of different rotation increments were compared and analyzed. Based on th...

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Publicado en:BioMed Research International Vol. 2017; pp. 1 - 12
Autores principales: Meng, Fanzhen, Cao, Xu, Cao, Xuezhou, Wang, Jianxun, Li, Liang, Chen, Xueli, Zhu, Shouping, Liang, Jimin
Formato: algorithm equations & formulas pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 1/5/2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 1/5/2017
      vid: 2017
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2017/8615086
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        atl: Influence of Rotation Increments on Imaging Performance for a Rotatory Dual-Head PET System.
      aug:
        au:
          Meng, Fanzhen
          Cao, Xu
          Cao, Xuezhou
          Wang, Jianxun
          Li, Liang
          Chen, Xueli
          Zhu, Shouping
          Liang, Jimin
        affil: Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071, China
      sug:
        subj:
          Rotation
          Tomography, Emission-Computed Methods
          Tomography, Emission-Computed Evaluation
          Quality Assessment
          Simulations
          Tomography, Emission-Computed Equipment and Supplies
          Phantoms, Imaging
          Validity
          Funding Source
          Descriptive Statistics
          Data Analysis Software
      ab: For a rotatory dual-head positron emission tomography (PET) system, how to determine the rotation increments is an open problem. In this study, we simulated the characteristics of a rotatory dual-head PET system. The influences of different rotation increments were compared and analyzed. Based on this simulation, the imaging performance of a prototype system was verified. A reconstruction flowchart was proposed based on a precalculated system response matrix (SRM). The SRM made the relationships between the voxels and lines of response (LORs) fixed; therefore, we added the interpolation method into the flowchart. Five metrics, including spatial resolution, normalized mean squared error (NMSE), peak signal-to-noise ratio (PSNR), contrast-to-noise (CNR), and structure similarity (SSIM), were applied to assess the reconstructed image quality. The results indicated that the 60° rotation increments with the bilinear interpolation had advantages in resolution, PSNR, NMSE, and SSIM. In terms of CNR, the 90° rotation increments were better than other increments. In addition, the reconstructed images of 90° rotation increments were also flatter than that of 60° increments. Therefore, both the 60° and 90° rotation increments could be used in the real experiments, and which one to choose may depend on the application requirement.
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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