Keywords: Bone, Visualization, Volume RenderingThis study presents a new Deep-Learning (DL) based processing pipeline to enable one-click volume rendering of MR Bone Zero TE (ZTE) images. It comprises of DL based background subtraction followed by histogram adjustment. A comparison with existing algorithms demonstrates that the proposed method prevails in accuracy of background subtraction (DICE = 0.97) and eliminates the tedious, error-prone manual steps of segmentation and histogram adjustment required to prepare the data for usable volume rendering. It can also be used universally across anatomies as opposed to other methods requiring anatomy-specific tuning.
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