Impact of a combination of quantitative indices representing uptake intensity, shape, and asymmetry in DAT SPECT using machine learning: comparison of different volume of interest settings

BACKGROUND: We sought to assess the machine learning-based combined diagnostic accuracy of three types of quantitative indices obtained using dopamine transporter single-photon emission computed tomography (DAT SPECT)—specific binding ratio (SBR), putamen-to-caudate ratio (PCR)/fractal dimension (FD...

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Библиографические подробности
Опубликовано в: :EJNMMI Res
Главные авторы: Iwabuchi, Yu, Nakahara, Tadaki, Kameyama, Masashi, Yamada, Yoshitake, Hashimoto, Masahiro, Matsusaka, Yohji, Osada, Takashi, Ito, Daisuke, Tabuchi, Hajime, Jinzaki, Masahiro
Формат: Artigo
Язык:Inglês
Опубликовано: Springer Berlin Heidelberg 2019
Предметы:
Original Research
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6890908/
https://ncbi.nlm.nih.gov/pubmed/30689072
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13550-019-0477-x
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