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BACKGROUND
The application of MR spectroscopy to in vivo studies provides unique
information on tissue chemistry, and these measurements are widely used for
diagnostic clinical studies and basic biomedical research. It is anticipated
that the use of in vivo MRS studies will increase over the next few years due to
recent technological improvements, including the increased availability of
higher-field strength MR instruments. Processing and analysis of in vivo MRS
data has largely relied on relatively conventional methods, derived from earlier
high-resolution NMR methods; however, full utilization of the in vivo MRS data
benefits from the use of newly-developed and specialized computational
approaches. This is particularly true for MR spectroscopic imaging (MRSI)
acquisitions, where a comprehensive processing and analysis protocol not only
requires fully automated and robust spectral analysis methods, but also requires
the use of several image processing techniques, including co-analysis with
tissue segmentation information; spatial co-registration; and statistical
analysis methods that include comparisons with normal metabolite concentrations,
which vary as a function of location and subject parameters.
OVERVIEW
With the increasing sophistication of in vivo MRS processing methods there
is an increasing need for educational forums in the area of data processing and
analysis methods, and for opportunities to present state-of-the-art research
developments in these areas. This workshop will bring together experts in the
field to cover these topics, with sessions covering developments in the area of
spectral analysis and quantitation; classification and statistical analysis
methods for MRSI data; and what impact the acquisition methods may have on the
analyses used.
In addition, there will be two sessions covering the nuts and bolts‚ of
implementing MRS on modern commercial clinical MR instruments, and covering
details of implementing these computationally-demanding methods. This workshop
is anticipated to attract senior clinical and basic scientists working in the
area of clinical and biomedical applications of MRS. Student attendance is being
emphasized, with travel support awards to be made available.
EDUCATIONAL OBJECTIVES
Upon completion of this workshop, participants should be able to:
• Describe analysis and quantitation methods for in vivo MR spectroscopy.
• Identify new acquisition and processing approaches for improving the quality
and interpretation of in vivo MRS data.
• Design MRS studies of biological systems.
• Identify sources of error and variability for MRS data.
• Compare existing MRS processing methods.
• Describe image reconstruction, processing, and analysis methods for MR
spectroscopic imaging.
• Recommend software tools and techniques for data processing, simulation
methods, and support for spectroscopy data in the DICOM format.
AUDIENCE DESCRIPTION
This workshop will address topics of interest for:
• Basic scientists using MRS methods for studies of biological systems;
• Clinical investigators using MRS, in areas such as radiology, cardiology,
psychiatry, and medicine;
• Engineering scientists and software developers working in the area of MRI and
MRS methods;
• Industry scientists and project leaders using or developing MRS methods.
• Students in areas of physics, engineering, or biological sciences that will be
using MRI and MRS methods.
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