Adaptive data-driven motion detection and optimized correction for brain PET.

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Bibliographic Details
Title: Adaptive data-driven motion detection and optimized correction for brain PET.
Authors: Revilla EM; Department of Radiology and Biomedical Imaging, Yale University, PO Box 208048, New Haven, CT 06520-8048, USA., Gallezot JD; Department of Radiology and Biomedical Imaging, Yale University, PO Box 208048, New Haven, CT 06520-8048, USA., Naganawa M; Department of Radiology and Biomedical Imaging, Yale University, PO Box 208048, New Haven, CT 06520-8048, USA., Toyonaga T; Department of Radiology and Biomedical Imaging, Yale University, PO Box 208048, New Haven, CT 06520-8048, USA., Fontaine K; Department of Radiology and Biomedical Imaging, Yale University, PO Box 208048, New Haven, CT 06520-8048, USA., Mulnix T; Department of Radiology and Biomedical Imaging, Yale University, PO Box 208048, New Haven, CT 06520-8048, USA., Onofrey JA; Department of Radiology and Biomedical Imaging, Yale University, PO Box 208048, New Haven, CT 06520-8048, USA; Department of Urology, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Carson RE; Department of Radiology and Biomedical Imaging, Yale University, PO Box 208048, New Haven, CT 06520-8048, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Lu Y; Department of Radiology and Biomedical Imaging, Yale University, PO Box 208048, New Haven, CT 06520-8048, USA. Electronic address: Yihuan.lu@yale.edu.
Source: NeuroImage [Neuroimage] 2022 May 15; Vol. 252, pp. 119031. Date of Electronic Publication: 2022 Mar 04.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1095-9572
DOI:10.1016/j.neuroimage.2022.119031