Accuracy of magnetic resonance based susceptibility measurements
Source abstract
Abstract
Magnetic Resonance Imaging (MRI) is increasingly used to map the magnetic susceptibility of tissue to identify cerebral microbleeds associated with traumatic brain injury and pathological iron deposits associated with neurodegenerative diseases such as Parkinson’s and Alzheimer’s disease. Accurate measurements of susceptibility are important for determining oxygen and iron content in blood vessels and brain tissue for use in noninvasive clinical diagnosis and treatment assessments. Induced magnetic fields with amplitude on the order of 100 nT, can be detected using MRI phase images. The induced field distributions can then be inverted to obtain quantitative susceptibility maps. The focus of this research was to determine the accuracy of MRI-based susceptibility measurements using simple phantom geometries and to compare the susceptibility measurements with magnetometry measurements where SI-traceable standards are available. The susceptibilities of paramagnetic salt solutions in cylindrical containers were measured as a function of orientation relative to the static MRI field. The observed induced fields as a function of orientation of the cylinder were in good agreement with simple models. The MRI susceptibility measurements were compared with SQUID magnetometry using NIST-traceable standards. MRI can accurately measure relative magnetic susceptibilities while SQUID magnetometry measures absolute magnetic susceptibility. Given the accuracy of moment measurements of tissue mimicking samples, and the need to look at small differences in tissue properties, the use of existing NIST standard reference materials to calibrate MRI reference structures is problematic and better reference materials are required.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced MRI Techniques and Applications · Advanced Neuroimaging Techniques and Applications · MRI in cancer diagnosis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
NIST 1 Physical Measurement Laboratory, , Boulder, Colorado 80305, USA
University of Colorado Boulder 2 Department of Physics, , Boulder, Colorado 80309, USA
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