Top

Published in:

13-04-2023 | Magnetic Resonance Imaging | Commentary

Commentary: Application of automatic semi-quantification in clinical routine positron emission tomography brain studies is here to stay

Authors: Francisco P. M. Oliveira, Durval C. Costa

Published in: European Radiology | Issue 7/2023

Excerpt

In neuroimaging studies, especially for research, functional/molecular images frequently need to be spatially normalized to a brain atlas [1, 2]. This task consists of deforming the subject’s brain images in a way that the structures represented on them overlap the corresponding structures represented in the atlas. To achieve the most accurate deformation, high-resolution structural brain magnetic resonance imaging (MRI) is needed. These MRI images are used to obtain the optimal geometric deformation between the subject’s brain and the reference atlas. After rigidly registering functional images with corresponding MRI for each subject, the MRI-based geometric transformation found will enable accurate mapping of the subject’s brain functional images to the atlas [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.2013962118CrossRefPubMedPubMedCentral

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.117.200006CrossRefPubMed

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/abf772CrossRef

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/s00259-012-2237-2CrossRefPubMed

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/s00259-017-3918-7CrossRefPubMed

Almeida SD, Oliveira FPM, Oliveira MJ et al (2022) Brain [¹⁸F]Fluorodeoxyglucose metabolism assessment under hypothyroidism and recombinant human thyroid-stimulating hormone in comparison with thyroid hormone replacement in patients submitted to total thyroidectomy. Appl Sci 12:9437. https://doi.org/10.3390/app12199437CrossRef

Zhang T, Wu S, Zhang X et al (2022) Spatial normalization and quantification approaches of PET imaging for neurological disorders. Eur J Nucl Med Mol Imaging 49:3809–3829. https://doi.org/10.1007/s00259-022-05809-6CrossRefPubMed

Scheltens P, De Strooper B, Kivipelto M et al (2021) Alzheimer’s disease. Lancet 397:1577–1590. https://doi.org/10.1016/S0140-6736(20)32205-4CrossRefPubMedPubMedCentral

Ossenkoppele R, van der Kant R, Hansson O (2022) Tau biomarkers in Alzheimer’s disease: towards implementation in clinical practice and trials. Lancet Neurol 21:726–734. https://doi.org/10.1016/S1474-4422(22)00168-5CrossRefPubMed

10.

Lu J, Ju Z, Wang M et al (2023) (SMS) ftSMS. Feasibility of ¹⁸F-florzolotau quantification in patients with Alzheimer’s disease based on an MRI-free tau PET template. Eur Radiol. https://doi.org/10.1007/s00330-023-09571-7

Title: Commentary: Application of automatic semi-quantification in clinical routine positron emission tomography brain studies is here to stay
Authors: Francisco P. M. Oliveira
Durval C. Costa
Publication date: 13-04-2023
Publisher: Springer Berlin Heidelberg
Keywords: Magnetic Resonance Imaging
Magnetic Resonance Imaging
Alzheimer's Disease
Positron Emission Tomography
Alzheimer's Disease
Published in: European Radiology / Issue 7/2023
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-023-09637-6

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Commentary: Application of automatic semi-quantification in clinical routine positron emission tomography brain studies is here to stay

Excerpt

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Excerpt

Please log in to get access to this content

Other articles of this Issue 7/2023

Prognostic value of CT-derived coronary artery disease characteristics varies by ASCVD risk: insights from the PROMISE trial

Predictive model based on DCE-MRI and clinical features for the evaluation of pain response after stereotactic body radiotherapy in patients with spinal metastases

Sarcopenia assessed with DXA and CT increases the risk of perioperative complications in patients with gastrectomy

Incidental coronary artery calcification on non-gated CT thorax correlates with risk of cardiovascular events and death

Use of systems with deep learning and machine learning for the detection and classification of malignant vs. benign spinal fractures with MRI: can deep/machine learning help us further for detection and characterization?

Correction: Multiparametric cardiovascular magnetic resonance characteristics and dynamic changes in asymptomatic heart-transplanted patients