Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/11310
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dc.contributor.authorTanveer, M.en_US
dc.date.accessioned2023-02-26T06:43:33Z-
dc.date.available2023-02-26T06:43:33Z-
dc.date.issued2022-
dc.identifier.citationVerma, S., Goel, T., & Tanveer, M. (2022). Quantitative susceptibility mapping in cognitive decline: A review of technical aspects and applications. Cognitive Computation, doi:10.1007/s12559-022-10095-3en_US
dc.identifier.issn1866-9956-
dc.identifier.otherEID(2-s2.0-85144203476)-
dc.identifier.urihttps://doi.org/10.1007/s12559-022-10095-3-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/11310-
dc.description.abstractIn the human brain, essential iron molecules for proper neurological functioning exist in transferrin (tf) and ferritin (Fe3 +) forms. However, its unusual increment manifests iron overload, which reacts with hydrogen peroxide. This reaction will generate hydroxyl radicals, and iron’s higher oxidation states. Furthermore, this reaction causes tissue damage or cognitive decline in the brain and also leads to neurodegenerative diseases. The susceptibility difference due to iron overload within the volume of interest (VOI) responsible for field perturbation of MRI and can benefit in estimating the neural disorder. The quantitative susceptibility mapping (QSM) technique can estimate susceptibility alteration and assist in quantifying the local tissue susceptibility differences. It has attracted many researchers and clinicians to diagnose and detect neural disorders such as Parkinson’s, Alzheimer’s, multiple sclerosis, and aging. The paper presents a systematic review illustrating QSM fundamentals and its processing steps, including phase unwrapping, background field removal, and susceptibility inversion. Using QSM, the present work delivers novel predictive biomarkers for various neural disorders. It can strengthen new researchers’ fundamental knowledge and provides insight into its applicability for cognitive decline disclosure. The paper discusses the future scope of QSM processing stages and their applications in identifying new biomarkers for neural disorders. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.sourceCognitive Computationen_US
dc.subjectMagnetic resonance imagingen_US
dc.subjectMappingen_US
dc.subjectNeurodegenerative diseasesen_US
dc.subjectTissueen_US
dc.subjectCognitive declineen_US
dc.subjectGradient echoen_US
dc.subjectHuman brainen_US
dc.subjectIron overloadsen_US
dc.subjectNeural disordersen_US
dc.subjectQuantitative susceptibility mappingen_US
dc.subjectSusceptibility differencesen_US
dc.subjectSusceptibility mappingen_US
dc.subjectTechnical applicationsen_US
dc.subjectTechnical aspectsen_US
dc.subjectBiomarkersen_US
dc.titleQuantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applicationsen_US
dc.typeJournal Articleen_US
dc.rights.licenseAll Open Access, Green-
Appears in Collections:Department of Mathematics

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