Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review
MAGMA. 2024 Apr 18. doi: 10.1007/s10334-024-01160-z. Online ahead of print.ABSTRACTNeurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EA...
Source: Magma - April 18, 2024 Category: Radiology Authors: Emma Friesen Kamya Hari Maxina Sheft Jonathan D Thiessen Melanie Martin Source Type: research
Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review
MAGMA. 2024 Apr 18. doi: 10.1007/s10334-024-01160-z. Online ahead of print.ABSTRACTNeurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EA...
Source: Magma - April 18, 2024 Category: Radiology Authors: Emma Friesen Kamya Hari Maxina Sheft Jonathan D Thiessen Melanie Martin Source Type: research
Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review
MAGMA. 2024 Apr 18. doi: 10.1007/s10334-024-01160-z. Online ahead of print.ABSTRACTNeurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EA...
Source: Magma - April 18, 2024 Category: Radiology Authors: Emma Friesen Kamya Hari Maxina Sheft Jonathan D Thiessen Melanie Martin Source Type: research
Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review
MAGMA. 2024 Apr 18. doi: 10.1007/s10334-024-01160-z. Online ahead of print.ABSTRACTNeurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EA...
Source: Magma - April 18, 2024 Category: Radiology Authors: Emma Friesen Kamya Hari Maxina Sheft Jonathan D Thiessen Melanie Martin Source Type: research
Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review
MAGMA. 2024 Apr 18. doi: 10.1007/s10334-024-01160-z. Online ahead of print.ABSTRACTNeurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EA...
Source: Magma - April 18, 2024 Category: Radiology Authors: Emma Friesen Kamya Hari Maxina Sheft Jonathan D Thiessen Melanie Martin Source Type: research
Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review
MAGMA. 2024 Apr 18. doi: 10.1007/s10334-024-01160-z. Online ahead of print.ABSTRACTNeurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EA...
Source: Magma - April 18, 2024 Category: Radiology Authors: Emma Friesen Kamya Hari Maxina Sheft Jonathan D Thiessen Melanie Martin Source Type: research
Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review
MAGMA. 2024 Apr 18. doi: 10.1007/s10334-024-01160-z. Online ahead of print.ABSTRACTNeurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EA...
Source: Magma - April 18, 2024 Category: Radiology Authors: Emma Friesen Kamya Hari Maxina Sheft Jonathan D Thiessen Melanie Martin Source Type: research
Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review
MAGMA. 2024 Apr 18. doi: 10.1007/s10334-024-01160-z. Online ahead of print.ABSTRACTNeurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EA...
Source: Magma - April 18, 2024 Category: Radiology Authors: Emma Friesen Kamya Hari Maxina Sheft Jonathan D Thiessen Melanie Martin Source Type: research
Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time
CONCLUSION: DL-based reconstruction pipelines have the promise to reduce the number of transients required for GABA-edited MRS.PMID:38613715 | DOI:10.1007/s10334-024-01156-9 (Source: Magma)
Source: Magma - April 13, 2024 Category: Radiology Authors: Rodrigo Pommot Berto Hanna Bugler Gabriel Dias Mateus Oliveira Lucas Ueda Sergio Dertkigil Paula D P Costa Leticia Rittner Julian P Merkofer Dennis M J van de Sande Sina Amirrajab Gerhard S Drenthen Mitko Veta Jacobus F A Jansen Marcel Breeuwer Ruud J G v Source Type: research
Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time
CONCLUSION: DL-based reconstruction pipelines have the promise to reduce the number of transients required for GABA-edited MRS.PMID:38613715 | DOI:10.1007/s10334-024-01156-9 (Source: Magma)
Source: Magma - April 13, 2024 Category: Radiology Authors: Rodrigo Pommot Berto Hanna Bugler Gabriel Dias Mateus Oliveira Lucas Ueda Sergio Dertkigil Paula D P Costa Leticia Rittner Julian P Merkofer Dennis M J van de Sande Sina Amirrajab Gerhard S Drenthen Mitko Veta Jacobus F A Jansen Marcel Breeuwer Ruud J G v Source Type: research
Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time
CONCLUSION: DL-based reconstruction pipelines have the promise to reduce the number of transients required for GABA-edited MRS.PMID:38613715 | DOI:10.1007/s10334-024-01156-9 (Source: Magma)
Source: Magma - April 13, 2024 Category: Radiology Authors: Rodrigo Pommot Berto Hanna Bugler Gabriel Dias Mateus Oliveira Lucas Ueda Sergio Dertkigil Paula D P Costa Leticia Rittner Julian P Merkofer Dennis M J van de Sande Sina Amirrajab Gerhard S Drenthen Mitko Veta Jacobus F A Jansen Marcel Breeuwer Ruud J G v Source Type: research
Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time
CONCLUSION: DL-based reconstruction pipelines have the promise to reduce the number of transients required for GABA-edited MRS.PMID:38613715 | DOI:10.1007/s10334-024-01156-9 (Source: Magma)
Source: Magma - April 13, 2024 Category: Radiology Authors: Rodrigo Pommot Berto Hanna Bugler Gabriel Dias Mateus Oliveira Lucas Ueda Sergio Dertkigil Paula D P Costa Leticia Rittner Julian P Merkofer Dennis M J van de Sande Sina Amirrajab Gerhard S Drenthen Mitko Veta Jacobus F A Jansen Marcel Breeuwer Ruud J G v Source Type: research
Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping
CONCLUSION: The proposed SpiNet-QSM showed a consistent improvement of at least 5% in terms of the high-frequency error norm (HFEN) and normalized root mean squared error (NRMSE) over other QSM reconstruction methods with limited training data.PMID:38598165 | DOI:10.1007/s10334-024-01158-7 (Source: Magma)
Source: Magma - April 10, 2024 Category: Radiology Authors: Vaddadi Venkatesh Raji Susan Mathew Phaneendra K Yalavarthy Source Type: research
Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping
CONCLUSION: The proposed SpiNet-QSM showed a consistent improvement of at least 5% in terms of the high-frequency error norm (HFEN) and normalized root mean squared error (NRMSE) over other QSM reconstruction methods with limited training data.PMID:38598165 | DOI:10.1007/s10334-024-01158-7 (Source: Magma)
Source: Magma - April 10, 2024 Category: Radiology Authors: Vaddadi Venkatesh Raji Susan Mathew Phaneendra K Yalavarthy Source Type: research
Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping
CONCLUSION: The proposed SpiNet-QSM showed a consistent improvement of at least 5% in terms of the high-frequency error norm (HFEN) and normalized root mean squared error (NRMSE) over other QSM reconstruction methods with limited training data.PMID:38598165 | DOI:10.1007/s10334-024-01158-7 (Source: Magma)
Source: Magma - April 10, 2024 Category: Radiology Authors: Vaddadi Venkatesh Raji Susan Mathew Phaneendra K Yalavarthy Source Type: research
