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Virtual myocardial PET generated from deep learning of SPECT and PET datasets: potential for attenuation correction in CT-less SPECT

2023-06-29

Abstract excerpt

<title>Abstract</title> <p>Objective Deep-learning approaches have attracted attention for improving the scoring accuracy in computed tomography-less single photon emission computerized tomography (SPECT). This study evaluated the improvement in visual ischemia scoring accuracy to investigate the performance of virtual positron emission tomography (vPET) generated by a deep-learning model. Methods This retrospe...

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Literature Corpus work
74911b29-f663-5426-b1c1-26b794521900
DOI
10.21203/rs.3.rs-3106552/v1
Open publication

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Virtual myocardial PET generated from deep learning of SPECT and PET datasets: potential for attenuation correction in CT-less SPECTDOI 10.21203/rs.3.rs-3106552/v1
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