Non-invasive regional cerebral blood flow quantification in the 123I-IMP autoradiography using artificial neural network.

Tetsuro KagaHiroki KatoToyohiro ImaiTomohiro AndoYoshifumi NodaTakayuki MiuraYukiko EnomotoFuminori HyodoToru IwamaMasayuki Matsuo

Published in: PloS one (2023)

Our proposed ANN-based model could accurately estimate the Ca10, rCBF, and CVR in DTARG. These results would enable non-invasive rCBF quantification in DTARG.

Keyphrases

neural network
cerebral blood flow