Showing papers by "Mert R. Sabuncu published in 2017"

Population Based Image Imputation.

Abstract: We present an algorithm for creating high resolution anatomically plausible images consistent with acquired clinical brain MRI scans with large inter-slice spacing Although large databases of clinical images contain a wealth of information, medical acquisition constraints result in sparse scans that miss much of the anatomy These characteristics often render computational analysis impractical as standard processing algorithms tend to fail when applied to such images Highly specialized or application-specific algorithms that explicitly handle sparse slice spacing do not generalize well across problem domains In contrast, our goal is to enable application of existing algorithms that were originally developed for high resolution research scans to significantly undersampled scans We introduce a model that captures fine-scale anatomical similarity across subjects in clinical image collections and use it to fill in the missing data in scans with large slice spacing Our experimental results demonstrate that the proposed method outperforms current upsampling methods and promises to facilitate subsequent analysis not previously possible with scans of this quality

Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

Abstract: This book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.