ArticleEuropean journal of nuclear medicine and molecular imaging2022
Unified spatial normalization method of brain PET images using adaptive probabilistic brain atlas.
Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Elevated endogenous glucagon-like peptide-1 as a novel Alzheimer's disease biomarker associated with neuroinflammation and Aβ pathology.General psychiatry · 2026Article
- Unmasking preclinical Alzheimer's pathology: auditory distraction cost and occupational reserve jointly discriminate amyloid positivity in subjective cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Beyond CT: Attenuation correction for stand-alone brain PET.Zeitschrift fur medizinische Physik · 2026Review
- Reductions in neuropsychiatric symptoms after lecanemab treatment and their associations with imaging markers of β-amyloid clearance.The journal of prevention of Alzheimer's disease · 2026Article
- Dual-target gene therapy in Parkinson's disease: a multicenter phase 1 trial.Nature medicine · 2026Article
- Regional cerebral hypometabolism and pathological heterogeneity in sporadic early onset alzheimer's disease: China Aging and Neurodegenerative Initiative (CANDI) study.European journal of nuclear medicine and molecular imaging · 2026Article
- Beyond nigrostriatal dopamine transporter loss: whole-brain DAT depletion patterns discriminate PD phenotypes.European journal of nuclear medicine and molecular imaging · 2026Article
- Generation of an Age-Dependent and HarmonizedHuman brain mapping · 2026Article
- Regional dopaminergic dysfunction patterns discriminate Parkinson's disease from multiple system atrophy parkinsonian subtype.Clinical parkinsonism & related disorders · 2026Article
- Early diagnosis of Alzheimer's Disease: Graph theoretical analysis of cerebellar network features based on 18F-AV45 PET.PloS one · 2026Article
- Distinct neurologic state in patients with traumatic brain injury and hemorrhagic stroke during the stage of acute disorders of consciousness and the correlation with the neurological prognosis: A multi-modal PET/rs-fMRI study.NeuroImage. Clinical · 2026Article
- Article
- Colorectal cancer cells hijack a brain-gut polysynaptic circuit from the lateral septum to enteric neurons to sustain tumor growth.Nature cancer · 2025Article
- Speech digital biomarker combined with fluid biomarkers predict cognitive impairment through machine learning.Alzheimer's research & therapy · 2025Article
- FDG-PET in Autoimmune Cerebellar Ataxia: Clinical Correlation and Diagnostic Superiority Over MRI.Cerebellum (London, England) · 2025Article
- Patterns of Tau pathology in patients with anti-IgLON5 disease visualized by Florzolotau (18F) PET.Journal of neurology · 2025Article
- Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.Frontiers in neuroscience · 2025Article
- The value of PET/CT in the diagnosis and differential diagnosis of Parkinson's disease: a dual-tracer study.NPJ Parkinson's disease · 2024Article
- Article
- A review of the flortaucipir literature for positron emission tomography imaging of tau neurofibrillary tangles.Brain communications · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeA unique advantage of the brain positron emission tomography (PET) imaging is the ability to image different biological processes with different radiotracers. However, the diversity of the brain PET image patterns also makes their spatial normalization challenging. Since structural MR images are not always available in the clinical practice, this study proposed a PET-only spatial normalization method based on adaptive probabilistic brain atlas.
methodsThe proposed method (atlas-based method) consists of two parts, an adaptive probabilistic brain atlas generation algorithm, and a probabilistic framework for registering PET image to the generated atlas. To validate this method, the results of MRI-based method and template-based method (a widely used PET-only method) were treated as the gold standard and control, respectively. A total of 286 brain PET images, including seven radiotracers (FDG, PIB, FBB, AV-45, AV-1451, AV-133, [
resultsThe Pearson correlation coefficient between the images computed by atlas-based method and the gold standard was 0.908 ± 0.005. The relative error of meta-ROI SUVR computed by atlas-based method was 2.12 ± 0.18%. Compared with template-based method, atlas-based method was also more consistent with the gold standard in SPM analysis.
conclusionThe proposed method provides a unified approach to spatially normalize brain PET images of different radiotracers accurately without MR images. A free MATLAB toolbox for this method has been provided.
Indexed as
Identifiers
35258689What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.