{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13(1)"],"submitter":["Kwon OI"],"funding":["Konkuk University"],"pubmed_abstract":["The developed magnetic resonance electrical properties tomography (MREPT) can visualize the internal conductivity distribution at Larmor frequency by measuring the B1 transceive phase data from magnetic resonance imaging (MRI). The recovered high-frequency conductivity (HFC) value is highly complex and heterogeneous in a macroscopic imaging voxel. Using high and low b-value diffusion weighted imaging (DWI) data, the multi-compartment spherical mean technique (MC-SMT) characterizes the water molecule movement within and between intra- and extra-neurite compartments by analyzing the microstructures and underlying architectural organization of brain tissues. The proposed method decomposes the recovered HFC into the conductivity values in the intra- and extra-neurite compartments via the recov"],"journal":["Scientific reports"],"pagination":["3273"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9968322"],"repository":["biostudies-literature"],"pubmed_title":["High frequency conductivity decomposition by solving physically constraint underdetermined inverse problem in human brain."],"pmcid":["PMC9968322"],"pubmed_authors":["Lee MB","Kwon OI","Jahng GH"],"additional_accession":[]},"is_claimable":false,"name":"High frequency conductivity decomposition by solving physically constraint underdetermined inverse problem in human brain.","description":"The developed magnetic resonance electrical properties tomography (MREPT) can visualize the internal conductivity distribution at Larmor frequency by measuring the B1 transceive phase data from magnetic resonance imaging (MRI). The recovered high-frequency conductivity (HFC) value is highly complex and heterogeneous in a macroscopic imaging voxel. Using high and low b-value diffusion weighted imaging (DWI) data, the multi-compartment spherical mean technique (MC-SMT) characterizes the water molecule movement within and between intra- and extra-neurite compartments by analyzing the microstructures and underlying architectural organization of brain tissues. The proposed method decomposes the recovered HFC into the conductivity values in the intra- and extra-neurite compartments via the recov","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-04-04T21:47:44.554Z","creation":"2025-02-18T23:57:31.671Z"},"accession":"S-EPMC9968322","cross_references":{"pubmed":["36841894"],"doi":["10.1038/s41598-023-30344-1"]}}