Robust cortical thickness measurement with LOGISMOS-B.

摘要: Cortical thickness (CT) is an important morphometric measure that has implications for psychiatric and neurologic processes. We propose a novel approach automatically computing CT in accurate robust manner using LOGISMOS-B: Layered Optimal Graph Image Segmentation of Multiple Objects Surfaces the Brain. LOGISMOS-B cortical surface segmentation method based on LOGISMOS graph generalized gradient vector flows. evaluate our two different datasets (n = 83 total). The results show more than popular FreeSurfer (FS) provides reliable measurements across variety challenging images. accurately recovers known patterns, both lobes locally, such as between banks central sulcus, healthy subjects MS patients. Manual landmarks indicate signed distance 0.081±0.447mm WM 0.018±0.498mm LOGISMOS-B, compared to 0.263±0.452mm − 0.167±0.556mm GM FS, highlighting placement accuracy LOGISMOS-B. Finally, regresion study shows strong correlation with age plausible annual thinning rates cortex, locally discerning agreement literature.