Determining the volume and distribution of white adipose tissue (WAT) and brown adipose tissue (BAT) by magnetic resonance imaging (MRI) is clinically important. Previous WAT and BAT classification has relied on using fat fraction and proton relaxation time via fixed multi-peak spectroscopic models. However, the recently proposed Multi-Varying-Peak MR Spectroscopy (MVP-MRS) model allows for the selection of appropriate classification features for differentiation between WAT and BAT. Furthermore, these multi-peak features allow prediction of a ‘browning’ or ‘beigeing’ process of WAT by using a Support Vector Machine (SVM) learning algorithm.
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.
Keywords