A Computed Tomography-Based Spatial Normalization for the Analysis of 18F Fluorodeoxyglucose Positron Emission Tomography of the Brain.
10.3348/kjr.2014.15.6.862
- Author:
Hanna CHO
1
;
Jin Su KIM
;
Jae Yong CHOI
;
Young Hoon RYU
;
Chul Hyoung LYOO
Author Information
1. Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 135-720, Korea. lyoochel@yuhs.ac
- Publication Type:Original Article ; Research Support, Non-U.S. Gov't
- Keywords:
CT;
Template;
Spatial normalization;
[18F] FDG PET
- MeSH:
Adult;
Aged;
Brain/pathology/*radiography;
Fluorodeoxyglucose F18/*diagnostic use;
Humans;
Magnetic Resonance Imaging;
Male;
Middle Aged;
*Positron-Emission Tomography;
Radiopharmaceuticals/*diagnostic use;
Tomography, X-Ray Computed
- From:Korean Journal of Radiology
2014;15(6):862-870
- CountryRepublic of Korea
- Language:English
-
Abstract:
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 [18F] 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 [18F] 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.
