Improvement of Thigh Muscle MRI Image Processing Efficiency using a Batch-Scripted N4ITK Intensity Normalization Algorithm Implemented in 3D Slicer

When applied to images with signal inhomogeneity, the N4ITK algorithm can correct images by use of a calculated bias field. Herein, we demonstrate that use of a batch-scripted N4ITK algorithm implemented in 3DSlicer freeware leads to a significantly more efficient workflow for thigh muscle MR image processing. Customized automation and N4ITK batch processing through 3DSlicer is possible for efficient image inhomogeneity correction in large data sets common to clinical multi-site imaging trials. In addition, the N4ITK intensity inhomogeneity correction step results in quicker turnaround and efficient implementation of the automated and semi-automated segmentation tools resulting in reliable & faster segmentation in thigh muscle MRI data sets.

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.