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The Current State of Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping in Head Trauma.
Hsu, Charlie Chia-Tsong; Sethi, Sean K; Haacke, E Mark.
Afiliação
  • Hsu CC; Division of Neuroradiology, Department of Medical Imaging, Gold Coast University Hospital, Australia; Division of Neuroradiology, Lumus Imaging, Varsity Lakes Day Hospital, Gold Coast, Australia. Electronic address: charlie.ct.hsu@gmail.com.
  • Sethi SK; Department of Radiology, Wayne State University School of Medicine.
  • Haacke EM; Department of Radiology, Wayne State University School of Medicine; Department of Neurology, Wayne State University School of Medicine.
Neuroimaging Clin N Am ; 33(2): 343-356, 2023 May.
Article em En | MEDLINE | ID: mdl-36965951
ABSTRACT
Susceptibility-weighted imaging (SWI) is a MR imaging technique suited to detect structural and microstructural abnormalities in traumatic brain injury (TBI). This review article provide an insight in to the physics principles of SWI and its clinical application in unraveling the complex interaction of the biophysical mechanisms of head injury. Literature evidences support SWI as the most ideal sequence in detection of microbleeds, which is the "tip of the iceberg" biomarker of microvascular injuries. The review also detailed the emerging advance techniques of Quantitative susceptibility mapping (QSM) and artificial intelligence offer the ability to detect and follow the evolution of microbleeds in patient with chronic TBI. These new techniques offers a unique insight into the acute and chronic state of TBI.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Traumatismos Craniocerebrais Limite: Humans Idioma: En Revista: Neuroimaging Clin N Am Assunto da revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Traumatismos Craniocerebrais Limite: Humans Idioma: En Revista: Neuroimaging Clin N Am Assunto da revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Ano de publicação: 2023 Tipo de documento: Article