The purpose of this study was to detect cerebral microhemorrhages in military service members with chronic traumatic brain injury by using susceptibility-weighted magnetic resonance (MR) imaging. The longitudinal evolution of microhemorrhages was monitored in a subset of patients by using quantitative susceptibility mapping.
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.
We hypothesized that cerebral microbleeds (CMBs) in multiple sclerosis (MS) patients will be detected with higher prevalence compared to healthy controls (HC) and that quantitative susceptibility mapping (QSM) will help remove false positives seen in susceptibility weighted imaging (SWI).
Imaging the Nigrosome 1 in the substantia nigra using susceptibility weighted imaging and quantitative susceptibility mapping: An application to Parkinson’s disease
The purpose of this study was to create a robust high quality, rapid imaging protocol, determine a slice by slice characterization of the appearance of N1 (the “N1 sign”) and evaluate the loss of the N1 sign in order to differentiate healthy controls (HCs) from patients with PD.
Quantitative Susceptibility Mapping for Characterization of Intraplaque Hemorrhage and Calcification in Carotid Atherosclerotic Disease
Carotid artery intraplaque hemorrhage (IPH), an unstable component of atherosclerosis, is associated with an increased risk of stroke. This prospective study aims to investigate the use of quantitative susceptibility mapping (QSM) as a tool for the evaluation of IPH and calcification in vivo.
In this work, we review the basic concepts behind imaging iron using T2, T2*, T2′, phase and quantitative susceptibility mapping in the human brain, liver and heart, followed by the applications of in vivo iron quantification in neurodegenerative diseases, iron tagged cells and ultra-small superparamagnetic iron oxide (USPIO) nanoparticles.
Detecting cerebral microbleeds (CMBs) is important in diagnosing a variety of diseases including dementia, stroke and traumatic brain injury. However, manual detection of CMBs can be time-consuming and prone to errors, whereas the current automatic algorithms for CMB detection are usually limited by large number of false positives.
Subarachnoid hemorrhage (SAH) survivors experience significant neurological disability, some of which is under‐recognized by neurovascular clinical teams. We set out to objectively determine the occurrence of hearing impairment after SAH, characterize its peripheral and/or central origin, and investigate likely pathological correlates.
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 and Quantitative Susceptibility Mapping of the Cerebral Vasculature Using Ferumoxytol
The purpose of this study was to demonstrate the potential of imaging cerebral arteries and veins with ferumoxytol using susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM).
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.