Keywords: Data Processing, Perfusion, ASL
Motivation: VE-DASL is promising in achieving fast vascular territory mapping by using short labeling duration and post-labeling delay, but the accuracy is limited, especially in the border zones.
Goal(s): To achieve a robust vascular territories separation using VE-DASL.
Approach: We adopted optimal encoding scheme and simulated the signal for each territory. The voxels that best matched the simulated signal were identified and their signal was used as the reference. The vascular territories were obtained using matrix inversion or correlation analysis.
Results: The proposed method achieved results comparable to VEASL and demonstrated the capability to differentiate the four vascular territories.
Impact: We improved VE-DASL by using OES and the proposed vessel-decoding method. This approach enabled us to achieve results comparable to VEASL while offering the potential for extension to more complex vascular scenarios.
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