Abstract #3797

Accuracy of Functional Localization in Pre-surgical Function MRI

Mu-Lan Jen¹, Islam S. Hassan², Ping Hou¹, Guang Li¹, Ashok J. Kumar², Colen R. Rivka², and Ho-Ling Liu¹

¹Department of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, United States, ²Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, United States

This study evaluates the errors associated with the spatial transformation process by using algorithms commonly applied for clinical pre-surgical fMRI. The images from nine right-handed patients with brain tumors were retrospectively analyzed. Significant differences (P<0.05) were found when comparing results from automated registration (AR) vs. coordinate matching (CM) and AR vs. AR with manual adjustment (AR, adjusted). No statistical significance was found between CM and AR, adjusted. This study established a platform for evaluating the functional localization accuracy in pre-surgical fMRI, and highlighted the necessity of quality control for the AR processing as a clinical routine.

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