Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning

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Author Information

Carlos Vinícius Gomes¹,²,³,
Yizhou Chen¹,
Isabel Rauscher⁴,
Song Xue¹,⁵,
Andrei Gafita⁴,⁶,
Jiaxi Hu¹,
Robert Seifert¹,
Lorenzo Mercolli¹,
Julia Brosch-Lenz⁴,⁷,
Jimin Hong¹,
Marc Ryhiner¹,
Sibylle Ziegler⁸,⁹,
Ali Afshar-Oromieh¹,
Axel Rominger¹,
Matthias Eiber⁴,
Thiago Viana Miranda Lima²,¹⁰ and
Kuangyu Shi¹

¹Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland;
²Institute of Radiology and Nuclear Medicine, Lucerne University Teaching and Research Hospital, Lucerne, Switzerland;
³Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland;
⁴Department of Nuclear Medicine, School of Medicine, Technical University Munich, Klinikum Rechts der Isar, Munich, Germany;
⁵Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Vienna General Hospital, Medical University of Vienna, Vienna, Austria;
⁶Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California;
⁷Institute of Nuclear Medicine, Glen Burnie, Maryland;
⁸Department of Nuclear Medicine, Hannover Medical School (MHH), Hannover, Germany;
⁹Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany; and
¹⁰Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland