Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Region of Interest Analysis for Standardized Uptake Value Ratio of 18F-fludeoxyglucose PET: Mild Cognitive Impairment and Alzheimer's Disease

경도인지장애와 알츠하이머병 환자의 18F-fludeoxyglucose PET 표준 섭취계수율에 대한 체적 및 피질 표면 기반 관심영역 분석

  • Kim, Seonjik (Department of Biomedical Engineering, Daegu Catholic University) ;
  • Yoon, Uicheul (Department of Biomedical Engineering, Daegu Catholic University)
  • 김선직 (대구가톨릭대학교 의공학과) ;
  • 윤의철 (대구가톨릭대학교 의공학과)
  • Received : 2018.08.29
  • Accepted : 2018.11.05
  • Published : 2018.12.31
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Abstract

$^{18}F$-fludeoxyglucose PET (FDG-PET) can help finding an abnormal metabolic activity in brain. In this study, we evaluated an efficiency of volume- and cortical surface-based analysis which were used to determine whether standardized uptake value ratio (SUVR) of FDG-PET was different among Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy control (HC). Each PET image was rigidly co-registered to the corresponding magnetic resonance imaging (MRI) using mutual information. All voxels of the co-registered PET images were divided by the mean FDG uptake of the cerebellum cortex which was thresholded by partial volume effect (>0.9). Also, the SUVR value of each vertex was linearly interpolated from volumetric SUVR image which was thresholded by gray matter partial volume effect (>0.1). Lobar mean values were calculated from both volume- and cortical surface-based SUVRs. Statistical analysis was conducted to compare two measures for AD, MCI and HC groups. Even though the results of volume (SUVR_vol) and cortical surface-based SUVR (SUVR_surf) analysis were not significantly different from each other, the latter would be better for detecting group differences in SUVR of PET.

Keywords

OOSCB@_2018_v39n6_237_f0001.png 이미지

그림 1. SUVR_vol 및 SUVR_surf 방법 비교 알고리즘. Fig. 1. Comparison of SUVR_vol and SUVR_surf algorithm.

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그림 3. 전두엽, 두정엽, 후두엽, 측두엽의 SUVR_vol 값과 SUVR_surf 값 (*: p < 0.05; **: p < 0.01). Fig. 3. SUVR_vol and SUVR_surf of frontal, occipital, parietal and temporal lobes (*: p < 0.05; **: p < 0.01).

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그림 2. (a) FDG-PET 영상, (b) T1 강조 영상, (c) 정합 결과. Fig. 2. (a) FDG-PET image, (b) T1-weighted image, (c) registration result.

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