This short 90-minute course was held at RSNA 2016 in Chicago on Nov 28 and Dec 1, 2016. The course offered a brief introduction to main manual and semi-automatic segmentation functionality in ITK-SNAP 3.6. Videos, exercise handouts, and example data are available from … Continue reading
We recently examined potential relationship between tau protein uptake in medial temporal lobe (MTL) and volumetric measures of MTL subregions in a small dataset of Alzheimer’s disease patients. Since tau protein accumulates in MTL in a characteristic spatiotempoal pattern as … Continue reading
We have recently updated ANTs to perform processing of perfusion ASL images. The pipeline is designed to be consistent with the antsCorticalThickness pipeline for computing cortical thickness and incorporates state-of-the-art methods for correcting for motion and other confounds. Learn more … Continue reading
We have been developing a framework to incorporate ITK and ANTs-based image processing methods into the R programming language to allow for interactive statistical analysis of medical images. R provides the most complete and current selection of statistical tools, including … Continue reading
Objective: Visualizing implanted subdural electrodes in 3D space can greatly aid planning, executing, and validating resection in epilepsy surgery. Co-registration software is available, but cost, complexity, insufficient accuracy or validation limit adoption. We present a fully automated open-source application, based … Continue reading
Version 3.0 is the first major release of ITK-SNAP that is funded by the NIH grant R01 EB014346, “Continued development and maintenance of the ITK-SNAP 3D image segmentation software.” This version includes an almost complete rewrite of the software, along with … Continue reading
Some things I’ve been working on lately: Expanded NIfTI support. You can now use NIfTI files for most image I/O, and ROIs defined in NIfTI are correctly aligned in the tractography programs More options for tractography including greater control over … Continue reading
SNAP is a software application used to segment structures in 3D medical images. It provides semi-automatic segmentation using active contour methods, as well as manual delineation and image navigation. In addition to these core functions, SNAP provides a number of … Continue reading