Gastric cancer (GC) is the second most common cause of cancer-related mortality globally. Histological assessment of GC has been based on Lauren classification which categorizes the tumor according to its morphological features. In respond to the need for probing biological tissue complexity, a growing number of diffusion-weighted imaging studies have focused on revealing tissue microstructures by measuring non-Gaussian diffusion behaviors. One of these techniques is the fractional order calculus (FROC) model. In this study, we have used the FROC model to investigate non-invasive imaging-based assessment of GC, providing an alternative to histopathology-based Lauren classification.
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