Meeting Banner
Abstract #2915

Investigating the effect of spectral linewidth on metabolite measurement bias in short-TE MRS

Jamie Near 1

1 Department of Psychiatry, McGill University, Montral, Qubec, Canada

It has been shown previously that when LCModel is used for spectral quantification of short-TE MRS data, increasing spectral linewidth results in a decrease in the estimated concentration of several major metabolites. However, the source of these systematic errors is not clearly understood. The primary aim of this study is to investigate the underlying cause of the strong dependence between spectral linewidth and LCModel measurement bias. These investigations are achieved through LCModel analysis of a large number of simulated MRS datasets with varying linewidths. The results indicate that reduced concentration estimates are due to an increase in the LCModel baseline estimate at higher spectral linewidths.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords