ArticleImaging neuroscience (Cambridge, Mass.)2024
ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- MATI: A GPU-accelerated toolbox for microstructural diffusion MRI simulation and data fitting with a graphical user interface.Magnetic resonance imaging · 2025Article
- Remote neurodegeneration in the lumbosacral cord one month after spinal cord injury: a cross-sectional MRI study.Annals of clinical and translational neurology · 2025Article
- Insights and improvements in correspondence between axonal volume fraction measured with diffusion-weighted MRI and electron microscopy.NMR in biomedicine · 2024Article
- Article
- PyHySCO: GPU-enabled susceptibility artifact distortion correction in seconds.Frontiers in neuroscience · 2024Article
- ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data.Imaging neuroscience (Cambridge, Mass.) · 2024Article
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Authors and funding
11 authors.
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Abstract
Diffusion MRI (dMRI) has become a crucial imaging technique in the field of neuroscience, with a growing number of clinical applications. Although most studies still focus on the brain, there is a growing interest in utilizing dMRI to investigate the healthy or injured spinal cord. The past decade has also seen the development of biophysical models that link MR-based diffusion measures to underlying microscopic tissue characteristics, which necessitates validation through ex vivo dMRI measurements. Building upon 13 years of research and development, we present an open-source, MATLAB-based academic software toolkit dubbed ACID:
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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.