Uniform distribution of intensity values for a given tissue type is desirable for accurate segmentation and quantification. Factors like non-uniform static magnetic field, motion artifacts, and inconsistent RF coil sensitivity introduce intensity inhomogeneity during MR image acquisition. Several methods for intensity inhomogeneity correction are proposed in the literature. We explored the suitability of Biased fuzzy C-means (BFCM) correction for quantification of abdominal fat from Dixon images. In our study we formulated a new 2-pass, 2D (intra-slice and inter-slice) BFCM framework for improved segmentation and quantification of abdominal fat.
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