Cargando…
Lumbar intervertebral disc characterization through quantitative MRI analysis: An automatic voxel‐based relaxometry approach
PURPOSE: To develop an automated pipeline based on convolutional neural networks to segment lumbar intervertebral discs and characterize their biochemical composition using voxel‐based relaxometry, and establish local associations with clinical measures of disability, muscle changes, and other sympt...
Autores principales: | Iriondo, Claudia, Pedoia, Valentina, Majumdar, Sharmila |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318328/ https://www.ncbi.nlm.nih.gov/pubmed/32060963 http://dx.doi.org/10.1002/mrm.28210 |
Ejemplares similares
-
Automatic detection and voxel‐wise mapping of lumbar spine Modic changes with deep learning
por: Gao, Kenneth T., et al.
Publicado: (2022) -
Combined diffusion‐relaxometry MRI to identify dysfunction in the human placenta
por: Slator, Paddy J., et al.
Publicado: (2019) -
A method for quantitative measurement of lumbar intervertebral disc structures: an intra- and inter-rater agreement and reliability study
por: Tunset, Andreas, et al.
Publicado: (2013) -
Evaluation of spinopelvic parameters in lumbar prolapsed intervertebral disc
por: Poonia, Apoorva, et al.
Publicado: (2020) -
Segmental Quantitative MR Imaging Analysis of Diurnal Variation of Water Content in the Lumbar Intervertebral Discs
por: Zhu, Tingting, et al.
Publicado: (2015)