Accurate and Non-invasive Quantification of Central Nervous System Pathology
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Abstract
Diffusion tensor imaging (DTI) has demonstrated sensitivity to detect pathologies in CNS white matter disorders. However, the capability of DTI to detect CNS white matter pathologies is confounded by the coexisting structural (crossing fibers) and pathological (inflammation associated cell infiltration and vasogenic edema, axonal injury, demyelination, and tissue loss) complications. Washington University researchers have developed diffusion basis spectrum imaging (DBSI), a novel method to quantify diffusion parameters of each fiber tract to reflect the underlying structural and pathological complexity of CNS tissues using commonly implemented diffusion data acquisition schemes retaining its applicability in clinical settings. Preliminary data in mouse models of CNS diseases/injury demonstrated that DBSI is capable of separating different underlying pathologies and estimating the extent of cell infiltration, vasogenic edema, axonal injury, demyelination, and tissue loss. This approach also generates realistic "noninvasive histology" maps of various CNS white matter pathologies directly related to the actual immunohistochemistry staining that is only available after tissue excision and fixation. Potential Areas of Applications: Diagnosis of CNS diseases, Monitor the efficacy of treatment of CNS disease, Estimate the degree of CNS tumor growth, Measure progression of clinical and preclinical pathologies in drug trials, Surgery guidance. Patent Status: U.S. Non-provisional Pending. Inventor(s): Sheng-Kwei (Victor) Song. This presentation was an elevator pitch at the Missouri Technology Expo 2011.