Author(s): E. Mark Haacke, PhD,1y Ann Christine Duhaime, MD,2 Alisa D. Gean, MD,3 Gerard Riedy, MD,4 Max Wintermark, MD,5 Pratik Mukherjee, MD PhD,5,6 David L. Brody, MD,7 Thomas DeGraba, MD,8 Timothy D. Duncan, MD,9 Elie Elovic, MD,10 Robin Hurley, MD,11 Lawrence...
Susceptibility-weighted imaging is an increasingly important adjunct in diagnosing a variety of neurologic diseases and provides a powerful tool to depict and help characterize microbleeds, veins, and other sources of susceptibility. But the term SWI is colloquially used to denote high-spatial-resolution susceptibility-enhanced sequences across different MRI vendors and sequences even when phase information is not used.
The aims of this study were: 1) to define and validate a semi-automatic method for detecting RoIS in WML from quantitative susceptibility maps (QSM) and susceptibility-weighted imaging (SWI) acquired with a 1.5 T MRI scanner; 2) to assess the prevalence of WML with RoIS and the susceptibility in those areas; and 3) to test the association between RoIS in WML and clinical outcomes.
Cerebral microbleeds (CMBs) are increasingly recognized neuroimaging findings, occurring with cerebrovascular disease, dementia, and aging. This review summarizes the concepts, cause or risk factors, histopathological mechanisms, and clinical consequences of CMBs.
Susceptibility-weighted imaging (SWI) is a method that uses the intrinsic nature of local magnetic fields to enhance image contrast in order to improve the visibility of various susceptibility sources and to facilitate diagnostic interpretation. In this article, we review the basics of SWI, including data acquisition, data reconstruction and post-processing.
Mild traumatic brain injury (mTBI) is a significant public health care burden in the United States. However, we lack a detailed understanding of the pathophysiology following mTBI and its relation to symptoms and recovery. With advanced magnetic resonance imaging (MRI), we can investigate brain perfusion and oxygenation in regions known to be implicated in symptoms, including cortical gray matter and subcortical structures.
There is a need to more accurately diagnose milder traumatic brain injuries with increasing awareness of the high prevalence in both military and civilian populations. The overarching hypothesis of this paper is that newer, advanced MR imaging generates sensitive biomarkers of regional brain injury which allows for correlation with clinical signs and symptoms.