Poster — Thur Eve — 03: Application of the non‐negative matrix factorization technique to [11C]‐DTBZ dynamic PET data for the early detection of Parkinson's disease

In this work, a class of non‐negative matrix factorization (NMF) technique known as alternating non‐negative least squares, combined with the projected gradient method, is used to analyze twenty‐five [11C]‐DTBZ dynamic PET/CT brain data. For each subject, a two‐factor model is assumed and two factor...

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