Investigation of Axial and Angular Sampling in Multi-Detector Pinhole-SPECT Brain Imaging

Navid Zeraatkar, Kesava S. Kalluri, Benjamin Auer, Arda Könik, Timothy J. Fromme, Lars R. Furenlid, Phillip H. Kuo, Michael A. King

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Article number9162136
Pages (from-to)4209-4224
Number of pages16
JournalIEEE Transactions on Medical Imaging
Volume39
Issue number12
DOIs
StatePublished - Dec 2020

Keywords

  • AdaptiSPECT-C
  • SPECT
  • angular and axial sampling
  • multi-pinhole
  • pinhole

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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