Multidimensional Processing and Visual Rendering of Complex 3D Biomedical Images, Year 2

By leveraging advanced data reduction and multidimensional imaging techniques utilized in analysis of Planetary Sciences and Cell Biology imaging, it is possible to significantly increase the information that can be extracted from the onboard biomedical imaging systems. This will allow both quantitative assessment of changes as well as development of improved strategies to monitor crew for progression of abnormalities. Development of protocol and software driven enhancements to data collection from COTS medical imaging systems has great potential for optimizing care of crew and for providing techniques and requirements to drive medical imaging system development for Exploration vehicles.

The objective of this project is to develop and utilize advanced image analysis techniques to maximize the resolution and utility of medical imaging methods being used during spaceflight. Our applications often require higher resolution assessment of the medical images than is routinely applied with nominal system software. Our progress in year 1 indicated focus on choroidal vasculature and the structure of the optic disc were critical capabilities to validate. Successful protocol development was completed to optimize image acquisition and rendering in these regions and collaborations established with the engineers of the manufacturer of the Optical Coherence Tomography (OCT) imaging system used at NASA for direct application of novel image rendering techniques developed in year 1. Year 2 will focus in the application of these techniques for tracking volume changes in the choroid and retinal substructure in response to environmental challenge. In addition, we will also evaluate optimization of ultrasound images vs OCT for deeper structure of optic disc. These techniques continue to enhance the monitoring and evaluation of crew vision issues during space flight. By leveraging advanced data reduction and multidimensional imaging techniques utilized in analysis of Planetary Sciences and Cell Biology imaging, it is possible to significantly increase the information that can be extracted from the onboard biomedical imaging systems.

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