Keywords: Microstructure, Microstructure
Motivation: Precisely locating tumor regions is challenging for effective surgery and radiotherapy.
Goal(s): Enhance tumorous area identification accuracy.
Approach: We integrated SANDI to model both stick and spherical cell types, estimating their densities. We introduced a metric quantifying spherical cell ratio relative to total cell volume for characterizing elevated tumor cell density.
Results: Our model effectively characterizes microstructural variations in brain tumor areas. The newly proposed cell number density ratio parameter provides a distinctive marker, highlighting high cell density within tumors. This approach holds promise for improving tumor localization, treatment planning, and patient outcomes.
Impact: Brain tumor microstructure characterization using SANDI showed microstructure changes in tumors and edema. The introduced metric, sensitive to tumor changes, holds promise for early invasion detection, enhancing diagnostic precision.
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