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Article

Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network

2022-12-28

Abstract excerpt

<title>Abstract</title> <p>Purpose Current attenuation correction (AC) of myocardial perfusion (MP) positron emission tomography (PET) remains challenging in routine clinical practice due to the propagation of CT-based artifacts and potential mismatch between PET and CT. The goal of this work is to demonstrate the feasibility of directly generating attenuation-corrected PET (AC PET) images from non-attenuation-c...

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Literature Corpus work
7dea3894-a737-5865-8500-13e11bd2ed2a
DOI
10.21203/rs.3.rs-2387329/v1
Open publication

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Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial networkDOI 10.21203/rs.3.rs-2387329/v1
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