{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T03:21:47Z","timestamp":1780975307291,"version":"3.54.1"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"NIH","award":["R01EB034692"],"award-info":[{"award-number":["R01EB034692"]}]},{"name":"NIH","award":["R01AG078250"],"award-info":[{"award-number":["R01AG078250"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1109\/tmi.2026.3659792","type":"journal-article","created":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T21:03:25Z","timestamp":1769807005000},"page":"2628-2638","source":"Crossref","is-referenced-by-count":3,"title":["PET Image Reconstruction Using Deep Diffusion Image Prior"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2352-0538","authenticated-orcid":false,"given":"Fumio","family":"Hashimoto","sequence":"first","affiliation":[{"name":"J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2669-2610","authenticated-orcid":false,"given":"Kuang","family":"Gong","sequence":"additional","affiliation":[{"name":"J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-34946-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1097\/00004728-198404000-00002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/42.363108"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/42.52985"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/42.251117"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/42.538945"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/43\/4\/027"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2002.998681"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/54\/23\/002"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1053\/j.semnuclmed.2012.08.006"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2832613"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2803681"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ab8f72"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2020.3014786"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/acde3e"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s12194-024-00780-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2869871"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2020.3004408"},{"key":"ref19","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref20","first-page":"1","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Song"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00259-023-06417-8"},{"key":"ref22","article-title":"DDPET-3D: Dose-aware diffusion model for 3D ultra low-dose PET imaging","author":"Xie","year":"2023","journal-title":"arXiv:2311.04248"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43907-0_26"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/nss\/mic\/rtsd57108.2024.10658634"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/mp.17068"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00259-025-07122-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/trpms.2025.3602262"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/nss\/mic\/rtsd57108.2024.10656786"},{"key":"ref29","article-title":"Joint reconstruction of activity and attenuation in PET by diffusion posterior sampling in wavelet coefficient space","author":"Phung-Ngoc","year":"2025","journal-title":"arXiv:2505.18782"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1186\/s40658-024-00706-3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.59275\/j.melba.2024-5d51"},{"key":"ref32","first-page":"1","article-title":"Diffusion posterior sampling for general noisy inverse problems","volume-title":"Proc. 11th Int. Conf. Learn. Represent.","author":"Chung"},{"key":"ref33","first-page":"1","article-title":"Decomposed diffusion sampler for accelerating large-scale inverse problems","volume-title":"Proc. 12th Int. Conf. Learn. Represent.","author":"Chung"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2025.3576483"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1117\/12.3047504"},{"key":"ref36","first-page":"1","article-title":"A variational perspective on solving inverse problems with diffusion models","volume-title":"Proc. 12th Int. Conf. Learn. Represent.","author":"Mardani"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3524797"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73226-3_25"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01303-4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2888491"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2022.3161569"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/83.392335"},{"key":"ref43","first-page":"1","article-title":"Denoising diffusion implicit models","volume-title":"Proc. 9th Int. Conf. Learn. Represent.","author":"Song"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s00259-019-04468-4"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.2307\/1390605"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2211378"},{"key":"ref47","first-page":"1","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Dhariwal"},{"key":"ref48","first-page":"1","article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hu"},{"key":"ref49","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Loshchilov"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2006.883453"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3389\/fnume.2023.1324562"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpet.2013.10.006"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13132254"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1186\/s40658-016-0159-y"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giac031"},{"key":"ref56","article-title":"Single amyloid PET scan on the Siemens biograph mMR","author":"Markiewicz","year":"2018"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1186\/s12883-017-0846-x"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-87564-6"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-017-9352-y"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1186\/s40658-023-00527-w"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11550367\/11369249.pdf?arnumber=11369249","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T19:56:01Z","timestamp":1780602961000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11369249\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":60,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2026.3659792","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6]]}}}