Keywords: Software Tools, Software Tools, Chi-separation, Quantitative Susceptibility Mapping, Blood Vessels
Motivation: χ-separation generates paramagnetic and diamagnetic susceptibility maps, potentially reflecting iron and myelin distribution. However, large vessels introduce erroneous values, hindering accurate quantification of these components.
Goal(s): Our goal is to develop a user-friendly, GUI-based vessel segmentation toolbox that generates a high-quality vessel mask to exclude vessels in χ-separation maps.
Approach: Two vessel segmentation methods are developed: a region-growing algorithm-based method with handy hyperparameter tuning options and a deep learning-based method with no hyperparameter tuning.
Results: The toolbox produces a high-quality vessel mask for enhanced χ-separation analysis.
Impact: The vessel segmentation toolbox generates a high-quality vessel mask through a user-friendly GUI, supporting the reliability of analysis of χ-separation results by effectively excluding vessel artifacts for improved quantification of iron and myelin.
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