Commentary: Application of automatic semi-quantification in clinical routine positron emission tomography brain studies is here to stay
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-09637-6.pdf
Reference10 articles.
1. Rebelo D, Oliveira F, Abrunhosa A, Januário C, Lemos J, Castelo-Branco M (2021) A link between synaptic plasticity and reorganization of brain activity in Parkinson’s disease. Proc Natl Acad Sci U S A 118:e2013962118. https://doi.org/10.1073/pnas.2013962118
2. Southekal S, Devous MD, Kennedy I et al (2018) Flortaucipir F 18 quantitation using parametric estimation of reference signal intensity. J Nucl Med 59:944–951. https://doi.org/10.2967/jnumed.117.200006
3. Martins R, Oliveira F, Moreira F et al (2021) Automatic classification of idiopathic Parkinson’s disease and atypical Parkinsonian syndromes combining [11C]raclopride PET uptake and MRI grey matter morphometry. J Neural Eng 18:046037. https://doi.org/10.1088/1741-2552/abf772
4. Nordberg A, Carter SF, Rinne J et al (2013) A European multicentre PET study of fibrillar amyloid in Alzheimer’s disease. Eur J Nucl Med Mol Imaging 40:104–114. https://doi.org/10.1007/s00259-012-2237-2
5. Oliveira FPM, Faria DB, Costa DC, Castelo-Branco M, Tavares JMRS (2018) Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson’s disease based on [123I]FP-CIT SPECT images. Eur J Nucl Med Mol Imaging 45:1052–1062. https://doi.org/10.1007/s00259-017-3918-7
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