Synthetic atrophy for longitudinal surface-based cortical thickness measurement

Kathleen E. Larson; Ipek Oguz

doi:10.1117/12.2580907

15 February 2021 Synthetic atrophy for longitudinal surface-based cortical thickness measurement

Kathleen E. Larson, Ipek Oguz

Proceedings Volume 11596, Medical Imaging 2021: Image Processing; 115963K (2021) https://doi.org/10.1117/12.2580907
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

Difficulty in validating accuracy remains a substantial setback in the field of surface-based cortical thickness (CT) measurement due to the lack of experimental validation against ground truth. Although methods have been developed to create synthetic datasets for this purpose, none provide a robust mechanism for measuring exact thickness changes with surface-based approaches. This work presents a registration-based technique for inducing synthetic cortical atrophy to create a longitudinal, ground truth dataset specifically designed for ac- curacy validation of surface-based CT measurements. Across the entire brain, we show our method can induce up to between 0.6 and 2.6 mm of localized cortical atrophy in a given gyrus depending on the region's original thickness. By calculating the image deformation to induce this atrophy at 400% of the original resolution in each direction, we can induce a sub-voxel resolution amount of atrophy while minimizing partial volume effects. We also show that our method can be extended beyond application to CT measurements for the accuracy validation of longitudinal cortical segmentation and surface reconstruction pipelines when measuring accuracy against cortical landmarks. Importantly, our method relies exclusively on publicly available software and datasets.

Conference Presentation

Citation Download Citation

Kathleen E. Larson and Ipek Oguz "Synthetic atrophy for longitudinal surface-based cortical thickness measurement", Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115963K (15 February 2021); https://doi.org/10.1117/12.2580907

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