Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision.

Autor: Xie H; Department of Biomedical Engineering, Yale University, USA. Electronic address: huidong.xie@yale.edu., Guo L; Department of Biomedical Engineering, Yale University, USA., Velo A; Department of Radiology and Biomedical Imaging, Yale University, USA., Liu Z; Department of Radiology and Biomedical Imaging, Yale University, USA., Liu Q; Department of Biomedical Engineering, Yale University, USA., Guo X; Department of Biomedical Engineering, Yale University, USA., Zhou B; Department of Biomedical Engineering, Yale University, USA., Chen X; Department of Biomedical Engineering, Yale University, USA., Tsai YJ; Department of Radiology and Biomedical Imaging, Yale University, USA., Miao T; Department of Radiology and Biomedical Imaging, Yale University, USA., Xia M; Department of Radiology and Biomedical Imaging, Yale University, USA., Liu YH; Department of Internal Medicine (Cardiology), Yale University, USA., Armstrong IS; Department of Nuclear Medicine, University of Manchester, UK., Wang G; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, USA., Carson RE; Department of Biomedical Engineering, Yale University, USA; Department of Radiology and Biomedical Imaging, Yale University, USA., Sinusas AJ; Department of Biomedical Engineering, Yale University, USA; Department of Radiology and Biomedical Imaging, Yale University, USA; Department of Internal Medicine (Cardiology), Yale University, USA., Liu C; Department of Biomedical Engineering, Yale University, USA; Department of Radiology and Biomedical Imaging, Yale University, USA. Electronic address: chi.liu@yale.edu.
Jazyk: angličtina
Zdroj: Medical image analysis [Med Image Anal] 2025 Feb; Vol. 100, pp. 103391. Date of Electronic Publication: 2024 Nov 20.
DOI: 10.1016/j.media.2024.103391
Abstrakt: Rubidium-82 ( 82 Rb) is a radioactive isotope widely used for cardiac PET imaging. Despite numerous benefits of 82 Rb, there are several factors that limits its image quality and quantitative accuracy. First, the short half-life of 82 Rb results in noisy dynamic frames. Low signal-to-noise ratio would result in inaccurate and biased image quantification. Noisy dynamic frames also lead to highly noisy parametric images. The noise levels also vary substantially in different dynamic frames due to radiotracer decay and short half-life. Existing denoising methods are not applicable for this task due to the lack of paired training inputs/labels and inability to generalize across varying noise levels. Second, 82 Rb emits high-energy positrons. Compared with other tracers such as 18 F, 82 Rb travels a longer distance before annihilation, which negatively affect image spatial resolution. Here, the goal of this study is to propose a self-supervised method for simultaneous (1) noise-aware dynamic image denoising and (2) positron range correction for 82 Rb cardiac PET imaging. Tested on a series of PET scans from a cohort of normal volunteers, the proposed method produced images with superior visual quality. To demonstrate the improvement in image quantification, we compared image-derived input functions (IDIFs) with arterial input functions (AIFs) from continuous arterial blood samples. The IDIF derived from the proposed method led to lower AUC differences, decreasing from 11.09% to 7.58% on average, compared to the original dynamic frames. The proposed method also improved the quantification of myocardium blood flow (MBF), as validated against 15 O-water scans, with mean MBF differences decreased from 0.43 to 0.09, compared to the original dynamic frames. We also conducted a generalizability experiment on 37 patient scans obtained from a different country using a different scanner. The presented method enhanced defect contrast and resulted in lower regional MBF in areas with perfusion defects. Lastly, comparison with other related methods is included to show the effectiveness of the proposed method.
Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Chi Liu reports financial support was provided by National Institutes of Health. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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