Quantitative analysis and visualization of medical images using Advanced Normalization Tools (ANTs)
The era of big data includes exciting developments within the area of quantitative medical image analysis. In this 2-day workshop, we introduce participants to the open-source Advanced Normalization Tools (ANTs) and its R extension (ANTsR) (https://github.com/stnava/ANTs and https://github.com/stnava/ANTsR). While originally focused on diffeomorphic image registration, ANTs has grown to incorporate methods for segmentation, feature extraction and, more recently, full statistical, visualization, and machine learning pipelines via ANTsR. While the hands-on examples will be mostly drawn from neuroimaging data, additional topics will include pulmonary and cardiac applications.
Requirements: Participants should come with R, RStudio, ANTs, ANTsR, and ITK-SNAP installed on their laptop.
- Dates & Times:
- 10:00am - 3:00pm, Tuesday, May 16, 2017
10:00am - 3:00pm, Wednesday, May 17, 2017
- Health Sciences Library MILL (First Floor)
- Nick Tustison, Radiology and Medical Imaging Department