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Proceedings Paper

Attenuation correction without structural images for PET imaging
Author(s): Yang Lei; Tonghe Wang; Xue Dong; Kristin Higgins; Tian Liu; Walter J. Curran; Hui Mao; Jonathon A. Nye; Xiaofeng Yang
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Paper Abstract

Deriving accurate attenuation correction factors for whole-body positron emission tomography (PET) images is challenging due to issues such as truncation, inter-scan motion, and erroneous transformation of structural voxelintensities to PET μ-map values. In this work, we proposed a deep-learning-based attenuation correction (DL-AC) method to derive the nonlinear mapping between attenuation corrected PET (AC PET) and non-attenuation corrected PET (NAC PET) images for whole-body PET imaging. A 3D cycle-consistent generative adversarial networks (cycle GAN) framework was employed to synthesize AC PET from NAC PET. The method learns a transformation that minimizes the difference between DL-AC PET, generated from NAC PET, and AC PET images. It also learns an inverse transformation such that cycle NAC PET image generated from the DL-AC PET is close to real NAC PET image. Both transformation network architectures are implemented by a residual network and outputs are judged by a fully convolutional network. A retrospective study was performed on 23 sets of whole-body PET/CT with leave-one-out cross validation. The proposed DL-AC method obtained the average mean error and normalized mean square error of the whole-body of -0.01%±2.91% and 1.21%±1.73%. We proposed a deep-learning-based approach to perform wholebody PET attenuation correction from NAC PET. The method demonstrates excellent quantification accuracy and reliability.

Paper Details

Date Published: 28 February 2020
PDF: 7 pages
Proc. SPIE 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 113171R (28 February 2020); doi: 10.1117/12.2548455
Show Author Affiliations
Yang Lei, Emory Univ. (United States)
Tonghe Wang, Emory Univ. (United States)
Xue Dong, Emory Univ. (United States)
Kristin Higgins, Emory Univ. (United States)
Tian Liu, Emory Univ. (United States)
Walter J. Curran, Emory Univ. (United States)
Hui Mao, Emory Univ. (United States)
Jonathon A. Nye, Emory Univ. (United States)
Xiaofeng Yang, Emory Univ. (United States)


Published in SPIE Proceedings Vol. 11317:
Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor S. Gimi, Editor(s)

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