Tagged: large data

Image analysis is hard. To extract meaningful information to meet your analysis goals you often need to work with large, complex, multidimensional and multivariate data. I have found that the following methodology can be used to effectively design software to successfully analyze image data.

Bring new life to your three-dimensional volumetric data by viewing it in its natural form. Gain contextual insight by viewing transparent blends of your complex data. Data that typically benefits from volumetric methods are magnetic resonance imaging (MRI), computed tomography (CT), PET, etc.

Too big to fit into the main memory of a workstation, large data poses several problems that limits one’s ability to view, analyze, and work with it.