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Wavelet denoising for voxel-based compartmental analysis of peripheral benzodiazepine receptors with 18F-FEDAA1106

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European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

Abstract

Purpose

We evaluated the noise reduction capability of wavelet denoising for estimated binding potential (BP) images (k 3/k 4) of the peripheral benzodiazepine receptor using 18F-FEDAA1106 and nonlinear least-square fitting.

Methods

Wavelet denoising within a three-dimensional discrete dual-tree complex wavelet transform was applied to simulate data and clinical dynamic positron emission tomography images of 18F-FEDAA1106. To eliminate noise components in wavelet coefficients, real and imaginary coefficients for each subband were thresholded individually using NormalShrink. A simulated dynamic brain image of 18F-FEDAA1106 was generated and Gaussian noise was added to mimic PET dynamic scan. The derived BP images were compared with true images using 156 rectangular regions of interest. Wavelet denoising was also applied to data derived from seven young normal volunteers.

Results

In the simulations, estimated BP by denoised image showed better correlation with the true BP values (Y = 0.83X + 0.94, r = 0.80), although no correlation was observed in the estimates between noise-added and true images (Y = 1.2X + 0.78, r = 0.49). For clinical data, there were visual improvements in the signal-to-noise ratio for estimated BP images.

Conclusions

Wavelet denoising improved the bias and reduced the variation of pharmacokinetic parameters for BP.

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Acknowledgment

This study was supported in part by the Grant-in-Aid for Young Scientists (B) and Grant-in-Aid for Scientific Research (C) from the Ministry of Education, Culture, Sports, Science and Technology, (19700395 and 18591373), Japan. We thank Mr. Katsuyuki Tanimoto, Mr. Takahiro Shiraishi, Mr. Akira Ando, and Mr. Toshio Miyamoto for their assistance in performing the PET experiments at the National Institute of Radiological Sciences. We also thank Ms. Yoshiko Fukushima of the National Institute of Radiological Sciences for her help as clinical research coordinator.

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Authors and Affiliations

  1. Biophysics Group, Molecular Imaging Center, National Institute of Radiological Sciences, Anagawa 4-9-1, Inage, Chiba, 263-8555, Japan

    Miho Shidahara, Yoko Ikoma, Chie Seki, Mika Naganawa, Iwao Kanno & Yuichi Kimura

  2. Molecular Neuroimaging Group, Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan

    Yota Fujimura, Hiroshi Ito & Tetsuya Suhara

  3. Japan Society for the Promotion of Science, Tokyo, Japan

    Mika Naganawa

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  1. Miho Shidahara
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  2. Yoko Ikoma
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  4. Yota Fujimura
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  6. Hiroshi Ito
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  9. Yuichi Kimura
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Corresponding author

Correspondence to Miho Shidahara.

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Shidahara, M., Ikoma, Y., Seki, C. et al. Wavelet denoising for voxel-based compartmental analysis of peripheral benzodiazepine receptors with 18F-FEDAA1106. Eur J Nucl Med Mol Imaging 35, 416–423 (2008). https://doi.org/10.1007/s00259-007-0623-y

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  • DOI: https://doi.org/10.1007/s00259-007-0623-y

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