MODEL OF MS DISEASE PROGRESSION
The Standard Model (SM) of White Matter (WM) describes the dMRI signal via a combination of intra-axonal, extra-axonal and free-water compartments, disentangling inflammatory and degenerative processes. SM-derived methods have been used to identify changes for central nervous system disorders including stroke, TBI, migraine, Alzheimer’s disease, and in subacute stage Covid-19 correlating with the degree of cognitive impairment. Following a number of key innovations related to image post-processing and parameter estimation, we believe that MICSI is ready to bring the first commercial application of tissue microstructure modeling in clinical practice.
Bringing the standard model of white matter into clinical practice.
MICSI BRAIN
IMAGING BIOMARKERS
MODEL OF MS DISEASE PROGRESSION
SMI enables the study of Multiple Sclerosis (MS) disease neurodegeneration independently from inflammation progression through (1) activation of microglia; (2) axonal beading; (3) demyelination; (4) axonal loss.
disease progression is an interplay between neurodegenerative and inflammatory processes. Our standard model (SM) MICSI markers enable disentangling the different pathological stages of MS, have been shown to be more sensitive than lesion load and volumetrics in tracking disability.
Application to Multiple Sclerosis
The Standard Model (SM) of White Matter (WM) describes the dMRI signal via a combination of intra-axonal, extra-axonal and free-water compartments, disentangling inflammatory and degenerative processes. SM-derived methods have been used to identify changes for central nervous system disorders including stroke, TBI, migraine, Alzheimer’s disease, and in subacute stage Covid-19 correlating with the degree of cognitive impairment. Following a number of key innovations related to image post-processing and parameter estimation, we believe that MICSI is ready to bring the first commercial application of tissue microstructure modeling in clinical practice.
Bringing the standard model of
white matter into clinical practice
SMI enables the study of Multiple Sclerosis (MS) disease neurodegeneration independently from inflammation progression through (1) activation of microglia; (2) axonal beading; (3) demyelination; (4) axonal loss. Disease progression is an interplay between neurodegenerative and inflammatory processes. Our standard model (SM) MICSI markers enable disentangling the different pathological stages of MS, have been shown to be more sensitive than lesion load and volumetrics in tracking disability.
Application to Multiple Sclerosis
MODEL OF MS DISEASE PROGRESSION
References
1. Coelho et al. Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems. (2022) Neuroimage. 257, 119290
2. Novikov et al. Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI. (2018) Neuroimage. 174, 518-538
3. Chung et al. White Matter Tract Integrity: An Indicator of Axonal Pathology after Mild Traumatic Brain Injury. (2018) J Neurotrauma. 35, 1015-1020
4. Fieremans et al. In vivo observation and biophysical interpretation of time-dependent diffusion in human white matter. (2016) Neuroimage. 129, 414-427
5. Fieremans et al. White matter characterization with diffusional kurtosis imaging. (2011) Neuroimage. 58, 177-88
6. Hui et al. Stroke assessment with diffusional kurtosis imaging. (2012) Stroke. 43, 2968-73
7. Novikov et al. System, method and computer-accessible medium for determining brain microstructure parameters from diffusion magnetic resonance imaging signal's rotational invariants
References
1. Coelho et al. Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems. (2022) Neuroimage. 257, 119290
2. Novikov et al. Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI. (2018) Neuroimage. 174, 518-538
3. Chung et al. White Matter Tract Integrity: An Indicator of Axonal Pathology after Mild Traumatic Brain Injury. (2018) J Neurotrauma. 35, 1015-1020
4. Fieremans et al. In vivo observation and biophysical interpretation of time-dependent diffusion in human white matter. (2016) Neuroimage. 129, 414-427
5. Fieremans et al. White matter characterization with diffusional kurtosis imaging. (2011) Neuroimage. 58, 177-88
6. Hui et al. Stroke assessment with diffusional kurtosis imaging. (2012) Stroke. 43, 2968-73
7. Novikov et al. System, method and computer-accessible medium for determining brain microstructure parameters from diffusion magnetic resonance imaging signal's rotational invariants
References
1. Coelho et al. Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems. (2022) Neuroimage. 257, 119290
2. Novikov et al. Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI. (2018) Neuroimage. 174, 518-538
3. Chung et al. White Matter Tract Integrity: An Indicator of Axonal Pathology after Mild Traumatic Brain Injury. (2018) J Neurotrauma. 35, 1015-1020
4. Fieremans et al. In vivo observation and biophysical interpretation of time-dependent diffusion in human white matter. (2016) Neuroimage. 129, 414-427
5. Fieremans et al. White matter characterization with diffusional kurtosis imaging. (2011) Neuroimage. 58, 177-88
6. Hui et al. Stroke assessment with diffusional kurtosis imaging. (2012) Stroke. 43, 2968-73
7. Novikov et al. System, method and computer-accessible medium for determining brain microstructure parameters from diffusion magnetic resonance imaging signal's rotational invariants