Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial IntelligenceThe diagnosis and evaluation of cerebral perfusion status are crucial for the management of brain diseases. However, the detection method of cerebral perfusion status is complicated. Considering that CBF is mainly supplied by the internal carotid artery (ICA), this paper proposes a novel cerebral perfusion status prediction model, which can automatically quantify the cerebral perfusion level of patients by modeling the association between ICA blood flow and cerebral perfusion. The experimental results on a real-world dataset using machine learning methods can achieve satisfactory performance. Thus, it can be used as an effective adjuvant tool for determining the cerebral perfusion status.
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