NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data

Current PET datasets are becoming larger, thereby increasing the demand for fast and reproducible processing pipelines. This paper presents a freely available, open source, Python-based software package called NiftyPAD, for versatile analyses of static, full or dual-time window dynamic brain PET dat...

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Vydané v:	Neuroinformatics (Totowa, N.J.) Ročník 21; číslo 2; s. 457 - 468
Hlavní autori:	Jiao, Jieqing, Heeman, Fiona, Dixon, Rachael, Wimberley, Catriona, Lopes Alves, Isadora, Gispert, Juan Domingo, Lammertsma, Adriaan A., van Berckel, Bart N. M., da Costa-Luis, Casper, Markiewicz, Pawel, Cash, David M., Cardoso, M Jorge, Ourselin, Sebastién, Yaqub, Maqsood, Barkhof, Frederik
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.04.2023 Springer Nature B.V
Predmet:	Amyloid Bioinformatics Biomedical and Life Sciences Biomedicine Brain - diagnostic imaging Computational Biology/Bioinformatics Computational neuroscience Computer Appl. in Life Sciences Humans Neurology Neurosciences Pharmacokinetics Positron-Emission Tomography - methods Quantitative analysis Software Software packages Spin labeling NiftyPAD Reference input-based modelling Python package Pharmacokinetic analysis PET
ISSN:	1539-2791, 1559-0089, 1559-0089
On-line prístup:	Získať plný text
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