Literature DB >> 29780044

[Effect of Misregistration between SPECT and CT Images on Attenuation Correction for Quantitative Bone SPECT Imaging].

Mika Sakoshi1, Norikazu Matsutomo2,3, Tomoaki Yamamoto2,3, Eisuke Sato2.   

Abstract

PURPOSE: The aim of this study was to evaluate the effect of misregistration between single-photon emission computed tomography (SPECT) and computed tomography (CT) images on bone SPECT.
METHODS: We acquired SPECT and CT images of a body phantom filled with bone-equivalent solution and 99mTc for evaluation of bone SPECT. SPECT images were reconstructed using attenuation correction maps obtained by shifting the attenuation coefficients from non-shifted values (reference). Activity concentrations, SPECT standardized uptake values (SPECT-SUVs), and tumor background ratios (TBRs) were evaluated.
RESULTS: Activity concentrations and SPECT-SUVs decreased with decreasing attenuation coefficient. The difference in attenuation coefficient was especially large between the shifted-to-lung (0.085 cm-1) and reference (0.249 cm-1) values. Non-shifted and shifted-to-lung SPECT-SUVs were 11.5±1.0 and 2.3±0.2, respectively. TBR also decreased with decreasing attenuation coefficient. The maximum percentage change in TBR was 86% in the shifted-to-lung value.
CONCLUSIONS: Our results indicate that the accuracy of activity concentration and lesion detectability was commonly affected by misalignment between SPECT and CT images. Although the impact of SPECT/CT misregistration on bone SPECT is case-specific and difficult to predict, it is important to reduce the incidence of misregistration errors for quantitative bone SPECT imaging.

Entities:  

Keywords:  CT attenuation correction; bone scintigraphy; misregistration; quantitative SPECT; single photon emission computed tomography (SPECT)

Mesh:

Year:  2018        PMID: 29780044     DOI: 10.6009/jjrt.2018_JSRT_74.5.452

Source DB:  PubMed          Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi        ISSN: 0369-4305


  1 in total

1.  Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT.

Authors:  Xiongchao Chen; Bo Zhou; Huidong Xie; Luyao Shi; Hui Liu; Wolfgang Holler; MingDe Lin; Yi-Hwa Liu; Edward J Miller; Albert J Sinusas; Chi Liu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-02-16       Impact factor: 10.057

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.