Korean Journal of Radiology

  • 제15권6호
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  • Pages.862-870
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  • 2014
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  • 1229-6929(pISSN)
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  • 2005-8330(eISSN)
대한영상의학회 (The Korean Society of Radiology)
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DOI QR코드

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A Computed Tomography-Based Spatial Normalization for the Analysis of [$^{18}F$] Fluorodeoxyglucose Positron Emission Tomography of the Brain

  • Cho, Hanna (Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Kim, Jin Su (Molecular Imaging Research Center, Korea Institute Radiological and Medical Science) ;
  • Choi, Jae Yong (Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Ryu, Young Hoon (Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Lyoo, Chul Hyoung (Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine)
  • 투고 : 2014.06.23
  • 심사 : 2014.09.10
  • 발행 : 2014.12.01
⟨ 이전 논문 다음 논문 ⟩

초록

Objective: We developed a new computed tomography (CT)-based spatial normalization method and CT template to demonstrate its usefulness in spatial normalization of positron emission tomography (PET) images with [$^{18}F$] fluorodeoxyglucose (FDG) PET studies in healthy controls. Materials and Methods: Seventy healthy controls underwent brain CT scan (120 KeV, 180 mAs, and 3 mm of thickness) and [18F] FDG PET scans using a PET/CT scanner. T1-weighted magnetic resonance (MR) images were acquired for all subjects. By averaging skull-stripped and spatially-normalized MR and CT images, we created skull-stripped MR and CT templates for spatial normalization. The skull-stripped MR and CT images were spatially normalized to each structural template. PET images were spatially normalized by applying spatial transformation parameters to normalize skull-stripped MR and CT images. A conventional perfusion PET template was used for PET-based spatial normalization. Regional standardized uptake values (SUV) measured by overlaying the template volume of interest (VOI) were compared to those measured with FreeSurfer-generated VOI (FSVOI). Results: All three spatial normalization methods underestimated regional SUV values by 0.3-20% compared to those measured with FSVOI. The CT-based method showed slightly greater underestimation bias. Regional SUV values derived from all three spatial normalization methods were correlated significantly (p < 0.0001) with those measured with FSVOI. Conclusion: CT-based spatial normalization may be an alternative method for structure-based spatial normalization of [$^{18}F$] FDG PET when MR imaging is unavailable. Therefore, it is useful for PET/CT studies with various radiotracers whose uptake is expected to be limited to specific brain regions or highly variable within study population.

키워드

참고문헌

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피인용 문헌

  1. Feasibility of Computed Tomography-Guided Methods for Spatial Normalization of Dopamine Transporter Positron Emission Tomography Image vol.10, pp.7, 2015, https://doi.org/10.1371/journal.pone.0132585