Meeting Banner
Abstract #5005

Estimation of the Sensitivity Characteristics and Detection Capability of Diffusion-Weighted MR Sequences in Imaging Spontaneous Mechanical Activity in Musculature

Martin Schwartz1,2, Guenter Steidle1, Petros Martirosian1, Ander Ramos-Murguialday3,4, Alto Stemmer5, Bin Yang2, and Fritz Schick1

1Section on Experimental Radiology, University of Tuebingen, Tuebingen, Germany, 2Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany, 3Institute for Medical Psychology and Behavioural Neurobiology, University of Tuebingen, Tuebingen, Germany, 4Neurotechnology Laboratory, TECNALIA Health Department, San Sebastian, Spain, 5Siemens Healthcare GmbH, Erlangen, Germany

Spontaneous mechanical activity in musculature (SMAM) can be observed from time to time in diffusion-weighted images (DWI) of the human lower leg. In DWI, motion sensitivity is usually restricted to a time window between diffusion-sensitizing dephasing and rephrasing gradients. Capabilities to detect SMAM occurring outside this time window by DWI are expected to be clearly reduced. The temporal sensitivity of diffusion-weighted sequences to SMAM is evaluated by varying diffusion-sensitizing time. In addition, concurrent surface electromyography (sEMG) measurements were performed in order to reveal the temporal correlation of the events in both modalities.

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