ArticleNeuroinformatics2015
POAS4SPM: a toolbox for SPM to denoise diffusion MRI data.
Article in Neuroinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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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.
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Who cites it
9 citing papers in PubMed.
- ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Article
- The impact of position-orientation adaptive smoothing in diffusion weighted imaging-From diffusion metrics to fiber tractography.PloS one · 2020Article
- Article
- QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis.Neuroinformatics · 2019Article
- Four in vivo g-ratio-weighted imaging methods: Comparability and repeatability at the group level.Human brain mapping · 2018Article
- Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy.Scientific reports · 2016Article
- Whole-Brain In-vivo Measurements of the Axonal G-Ratio in a Group of 37 Healthy Volunteers.Frontiers in neuroscience · 2015Article
- High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing.Frontiers in neuroscience · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We present an implementation of a recently developed noise reduction algorithm for dMRI data, called multi-shell position orientation adaptive smoothing (msPOAS), as a toolbox for SPM. The method intrinsically adapts to the structures of different size and shape in dMRI and hence avoids blurring typically observed in non-adaptive smoothing. We give examples for the usage of the toolbox and explain the determination of experiment-dependent parameters for an optimal performance of msPOAS.
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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.