Proceedings of the Korean Society of Medical Physics Conference (한국의학물리학회:학술대회논문집)

Korean Society of Medical Physics (한국의학물리학회)
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MR-based Partial Volume Correction for $^{18}$F-PET Data Using Hoffman Brain Phantom

  • Kim, D. H. (BK 21 project for Medical Sciences, Yonsei University, Research Institute of Radiological Science, Yonsei University) ;
  • Kim, H. J. (BK 21 project for Medical Sciences, Yonsei University, Department of Diagnostic Radiology, Yonsei University) ;
  • H. K. Jeong (BK 21 project for Medical Sciences, Yonsei University, Research Institute of Radiological Science, Yonsei University) ;
  • H. K. Son (BK 21 project for Medical Sciences, Yonsei University, Research Institute of Radiological Science, Yonsei University) ;
  • W. S. Kang (BK 21 project for Medical Sciences,Yonsei University, Research Institute of Radiological Science, Yonsei University) ;
  • H. Jung (Department of Diagnostic Radiology, Yonsei University, Research Institute of Radiological Science, Yonsei University) ;
  • S. I. Hong (BK 21 project for Medical Sciences, Yonsei University, Research Institute of Radiological Science, Yonsei University) ;
  • M. Yun (Research Institute of Radiological Science, Yonsei University) ;
  • Lee, J. D. (Research Institute of Radiological Science, Yonsei University)
  • Published : 2002.09.01
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Abstract

Partial volume averaging effect of PET data influences on the accuracy of quantitative measurements of regional brain metabolism because spatial resolution of PET is limited. The purpose of this study was to evaluate the accuracy of partial volume correction carried out on $^{18}$ F-PET images using Hoffman brain phantom. $^{18}$ F-PET Hoffman phantom images were co-registered to MR slices of the same phantom. All the MR slices of the phantom were then segmented to be binary images. Each of these binary images was convolved in 2 dimensions with the spatial resolution of the PET. The original PET images were then divided by the smoothed binary images in slice-by-slice, voxel-by-voxel basis resulting in larger PET image volume in size. This enlarged partial volume corrected PET image volume was multiplied by original binary image volume to exclude extracortical region. The evaluation of partial volume corrected PET image volume was performed by region of interests (ROI) analysis applying ROIs, which were drawn on cortical regions of the original MR image slices, to corrected and original PET image volume. From the ROI analysis, range of regional mean values increases of partial volume corrected PET images was 4 to 14%, and average increase for all the ROIs was about 10% in this phantom study. Hoffman brain phantom study was useful for the objective evaluation of the partial volume correction method. This MR-based correction method would be applicable to patients in the. quantitative analysis of FDG-PET studies.

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