Comparison of FreeSurfer inputs on estimates and reliability of volume and thickness measures

Anatomical volume and cortical thickness are measures of neurodegeneration to track disease progression and evaluation of treatment efficacy. FreeSurfer software provides automatic structural parcellation and segmentation to estimate volume and thickness. T1‐weighted inputs are commonly used, but T2 or T2*FLAIR images can be added. This study compared FreeSurfer estimates for T1 only vs T1+T2 or T1+T2*FLAIR inputs with regard to reliability and its relation to amyloidosis.