Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
Advances in spinal cord imaging in multiple sclerosis
M Moccia, S Ruggieri, A Ianniello… - Therapeutic …, 2019 - journals.sagepub.com
The spinal cord is frequently affected in multiple sclerosis (MS), causing motor, sensory and
autonomic dysfunction. A number of pathological abnormalities, including demyelination …
autonomic dysfunction. A number of pathological abnormalities, including demyelination …
SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data
For the past 25 years, the field of neuroimaging has witnessed the development of several
software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to …
software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to …
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS)
patients. Segmentation of the spinal cord and lesions from MRI data provides measures of …
patients. Segmentation of the spinal cord and lesions from MRI data provides measures of …
Spinal cord gray matter segmentation using deep dilated convolutions
Gray matter (GM) tissue changes have been associated with a wide range of neurological
disorders and were recently found relevant as a biomarker for disability in amyotrophic …
disorders and were recently found relevant as a biomarker for disability in amyotrophic …
[HTML][HTML] Spinal cord grey matter segmentation challenge
An important image processing step in spinal cord magnetic resonance imaging is the ability
to reliably and accurately segment grey and white matter for tissue specific analysis. There …
to reliably and accurately segment grey and white matter for tissue specific analysis. There …
Presymptomatic spinal cord pathology in c9orf72 mutation carriers: A longitudinal neuroimaging study
Objective C9orf72 hexanucleotide repeats expansions account for almost half of familial
amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) cases. Recent …
amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) cases. Recent …
The role of Artificial intelligence in the assessment of the spine and spinal cord
T Martín-Noguerol, MO Miranda, TJ Amrhein… - European Journal of …, 2023 - Elsevier
Artificial intelligence (AI) application development is underway in all areas of radiology
where many promising tools are focused on the spine and spinal cord. In the past decade …
where many promising tools are focused on the spine and spinal cord. In the past decade …
[HTML][HTML] Investigating the human spinal sensorimotor pathways through functional magnetic resonance imaging
Most of our knowledge about the human spinal ascending (sensory) and descending
(motor) pathways comes from non-invasive electrophysiological investigations. However …
(motor) pathways comes from non-invasive electrophysiological investigations. However …
[HTML][HTML] Elezanumab, a human anti-RGMa monoclonal antibody, promotes neuroprotection, neuroplasticity, and neurorecovery following a thoracic hemicompression …
PB Jacobson, R Goody, M Lawrence, BK Mueller… - Neurobiology of …, 2021 - Elsevier
Spinal cord injury (SCI) is a devastating condition characterized by loss of function,
secondary to damaged spinal neurons, disrupted axonal connections, and myelin loss …
secondary to damaged spinal neurons, disrupted axonal connections, and myelin loss …