ArticleIEEE transactions on medical imaging2020
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging.
Article in IEEE transactions on medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Deep Learning Empowered Microstructure Codebook: New Paradigm for Multi-Parameter Tissue Characterization Estimation.Human brain mapping · 2026Article
- Article
- Quantitative metrics commonly derived from diffusion tractography covary with streamline length: a characterization and method of adjustment.Brain structure & function · 2024Article
- Optimal shrinkage denoising breaks the noise floor in high-resolution diffusion MRI.Patterns (New York, N.Y.) · 2024Article
- A multimodal submillimeter MRI atlas of the human cerebellum.Scientific reports · 2024Article
- Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding.Medical image analysis · 2022Article
- The sensitivity of diffusion MRI to microstructural properties and experimental factors.Journal of neuroscience methods · 2021Review
- Brain Development From Newborn to Adolescence: Evaluation by Neurite Orientation Dispersion and Density Imaging.Frontiers in human neuroscience · 2021Article
- Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020Article
- Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020Article
- Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients.PloS one · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
During the first years of life, the human brain undergoes dynamic spatially-heterogeneous changes, invo- lving differentiation of neuronal types, dendritic arbori- zation, axonal ingrowth, outgrowth and retraction, synaptogenesis, and myelination. To better quantify these changes, this article presents a method for probing tissue microarchitecture by characterizing water diffusion in a spectrum of length scales, factoring out the effects of intra-voxel orientation heterogeneity. Our method is based on the spherical means of the diffusion signal, computed over gradient directions for a set of diffusion weightings (i.e., b -values). We decompose the spherical mean profile at each voxel into a spherical mean spectrum (SMS), which essentially encodes the fractions of spin packets undergoing fine- to coarse-scale diffusion proce- sses, characterizing restricted and hindered diffusion stemming respectively from intra- and extra-cellular water compartments. From the SMS, multiple orientation distribution invariant indices can be computed, allowing for example the quantification of neurite density, microscopic fractional anisotropy ( μ FA), per-axon axial/radial diffusivity, and free/restricted isotropic diffusivity. We show that these indices can be computed for the developing brain for greater sensitivity and specificity to development related changes in tissue microstructure. Also, we demonstrate that our method, called spherical mean spectrum imaging (SMSI), is fast, accurate, and can overcome the biases associated with other state-of-the-art microstructure models.
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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.