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Can a Deep Progressive Learning Method Help to Achieve High Image Quality as Total-body PET Imaging?

2021-12-15

Abstract excerpt

<title>Abstract</title> <p><bold>Purpose </bold>To propose and validate a total-body PET (TB-PET) guided deep progressive learning method (DPR) for low-dose clinical imaging of standard axial field-of-view PET/CT scanner (SAFOV-PET).<bold>Methods </bold>List-mode raw data from a total of 182 scans were collected, including 100 patient scans from a TB-PET, and 15 phantom and 67 patient scans from a SAFOV-PET. Neur...

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Literature Corpus work
3c76a766-0a0f-5c1b-bbc2-a58b04a31e86
DOI
10.21203/rs.3.rs-1150113/v1
Open publication

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Can a Deep Progressive Learning Method Help to Achieve High Image Quality as Total-body PET Imaging?DOI 10.21203/rs.3.rs-1150113/v1
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