ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025
Development and evaluation of image preprocessing pipelines for the Centiloid method on Down Syndrome data.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Inflammation Associated With Obesity, Aging, and Amyloid Burden in Adults With Down Syndrome.Obesity (Silver Spring, Md.) · 2026Article
- Development and evaluation of image preprocessing pipelines for the Centiloid method on Down Syndrome data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
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14 authors.
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Abstract
backgroundCentiloid provides a standardized process to quantify brain amyloid in which a subject's T1 magnetic resonance imaging (MRI) and amyloid positron emission tomography (PET) scans are registered and warped to Montreal Neurological Institute 152 space using prescribed procedures. The method has a high failure rate in Down syndrome (DS) subjects from the Neurodegeneration in Aging Down Syndrome (NiAD) project. We evaluate imaging preprocessing methods (PMs) to improve the DS success rate.
methodsPMs were constructed from combinations of image origin reset, filtering, MRI bias correction, and MRI skull stripping. Centiloid results were evaluated for adherence to standards using The Global Alzheimer's Association Interactive Network dataset. PMs were also evaluated using the NiAD dataset to judge their suitability for the DS population. DS PM evaluation procedures were developed corresponding to those specified for non-DS populations.
resultsFive accepted PMs improved the Centiloid-processing success rate in the DS cohort from 61.3% to 95.6%. DISCUSSION: The identified combinations of preprocessing steps substantially improved the success rate of Centiloid processing in DS. HIGHLIGHTS: Image preprocessing pipeline is proposed for Centiloid analysis of DS. Preprocessing pipelines are evaluated for adherence to Centiloid standards. Pipelines are evaluated for improvement in yield of usable imaging data. Preprocessing of amyloid imaging data resulted in a large yield improvement.
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