Co-sponsored by: Sami Muhaidat

Advances in Biomedical Imaging have enabled scientists to acquire exquisite images of human anatomy and function and these images are vital to understanding the onset and progression of a wide range of human diseases. Modern scanners are exquisite cameras – they can observe exquisite detail of internal anatomy and function that are provided in the form of raw images. The availability of large-scale imaging databases, containing hundreds of thousands to millions of images, has now shifted the bottleneck in understanding diseases from the acquisition of data to the analysis and interpretation of data. In the ‘omics’ era of “biomedical big data”, where databases containing several terabytes of imaging data are commonly available, computational algorithms, tools and software for the analysis of large-scale multimodal and multivariate datasets are essential to discover useful patterns, identify outliers and interpret each image in the context of variability in normal and diseased states. This is the emerging field of “Computational Anatomy” where computational signal processing tools are designed for mining patterns of change in human anatomy and function images during healthy aging and disease.  I will be presenting a brief overview and some recent work from our group in applying the toolbox of Computational Anatomy in the setting of brain and retina morphometry, and applications in Alzheimer’s disease and Glaucoma.

Speaker(s): Prof. Faisal Beg , , Prof. Faisal Beg ,

Location:
Bldg: H Building
Khalifa University
Abu Dhabi, United Arab Emirates