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

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.

journal_name

IEEE Trans Med Imaging

journal_title

IEEE transactions on medical imaging

authors

Zeraatkar N,Kalluri KS,Auer B,Konik A,Fromme TJ,Furenlid LR,Kuo PH,King MA

doi

10.1109/TMI.2020.3015079

subject

Has Abstract

pub_date

2020-12-01 00:00:00

pages

4209-4224

issue

12

eissn

0278-0062

issn

1558-254X

journal_volume

39

pub_type

杂志文章

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