Abstract #4358

Histogram analytics and data mining of multiparametric FMRI (perfusion, diffusion) in preoperative histologic prediction of posterior fossa tumors.

Shanker Raja¹, Ali Daghriri², Sadeq Wasil Al Dandan³, Tariq Ahmad Wani⁴, Muhammad Usman Manzoor⁵, Abdullah Ali Alrashed², Sarah Farooq⁶, William Plishker⁷, and Sharad George⁸

¹Radiology, Baylor College of Medicine, Bellaire, TX, United States, ²Medical Imaging, King Fahad Medical City, Riyadh, Saudi Arabia, ³Pathology and Laboratory Medicine, King Fahad Medical City, Riyadh, Saudi Arabia, ⁴KFMC-Riyadh, Riyadh, Saudi Arabia, ⁵Radiology, King Fahad Medical City, Riyadh, Saudi Arabia, ⁶King Fahad Medical City, Riyadh, Saudi Arabia, ⁷IGI Technologies, College Park, MD, United States, ⁸Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia

Histogram metrics derived from a combination preoperative MRI: AFDC and perfusion maps, appear to be promising in differentiation of posterior tumors

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.

Click here for more information on becoming a member.