AI Article Synopsis

  • A new multi-detector multi-pinhole brain SPECT scanner, AdaptiSPECT-C, is designed to provide high-quality images by adjusting sensitivity and resolution through varying aperture configurations.
  • The system features 23 detector heads organized in a way to enhance imaging capabilities, and studies show improved image quality with increased angular and axial sampling, especially when using specific phantoms.
  • While improvements were more pronounced in quantitative metrics like NRMSE and binding ratios for certain brain distributions, qualitative enhancements in clinical distributions were less significant; the study also highlighted the importance of detector placement for optimal sampling and sensitivity.

Article Abstract

We designed a dedicated multi-detector multi-pinhole brain SPECT scanner to generate images of higher quality compared to general-purpose systems. The system, AdaptiSPECT-C, is intended to adapt its sensitivity-resolution trade-off by varying its aperture configurations allowing both high-sensitivity dynamic and high-spatial-resolution static imaging. The current system design consists of 23 detector heads arranged in a truncated spherical geometry. In this work, we investigated the axial and angular sampling capability of the current stationary system design. Two data acquisition schemes using limited rotation of the gantry and two others using axial translation of the imaging bed were also evaluated concerning their impact on image quality through improved sampling. Increasing both angular and axial sampling in the current prototype system resulted in quantitative improvements in image quality metrics and qualitative appearance of the images as determined in studies with specifically selected phantoms. Visual improvements for the brain phantoms with clinical distributions were less pronounced but presented quantitative improvements in the fidelity (normalized root-mean-square error (NRMSE)) and striatal specific binding ratio (SBR) for a dopamine transporter (DAT) distribution, and in NRMSE and activity recovery for a brain perfusion distribution. More pronounced improvements with increased sampling were seen in contrast recovery coefficient, bias, and coefficient of variation for a lesion in the brain perfusion distribution. The negligible impact of the most cranial ring of detectors on axial sampling, but its significant impact on sensitivity and angular sampling in the cranial portion of the imaging volume-of-interest were also determined.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875096PMC
http://dx.doi.org/10.1109/TMI.2020.3015079DOI Listing

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