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George R. Meyer
Abstract:
The autonomous external-guidance system (EGS) is the key to long-duration space flight. Although many aspects of the many decades-old EGS systems have been addressed and improved upon, it remains an untested element of the space exploration program. Questions remain about the effectiveness of such systems, including what percentage of the time that they require to be turned off, how long they can operate in the dark or in high solar flux levels, how reliable they are in a nuclear environment, and what their performance with the various types of artifacts they encounter. An assessment has recently been made of the effectiveness of the EGS provided on the Apollo and Viking missions to the moon. The conclusions are that the systems on the two missions were reliable and that their effectiveness was not adversely affected by the solar flux or by artifacts encountered in the lunar environment. On the Viking mission, one problem encountered was the inadvertent shutdown of the close-up imaging system. The EGS system was stopped and initiated again because of this problem. These conclusions are of some interest to the future space exploration program, particularly the manned exploration of Mars. The technology of the future system is still in its infancy, but the emerging requirements will be of similar nature to those which have led to the development of the Apollo and Viking systems.Conventional three dimensional (3D) computer graphics for the study of anatomy, in the medical field, is still mostly based on 2D images from 2D slices or multiplanar reformations (MPR) from 3D volumes, in the more recent years. In addition, various artificial intelligence (AI) methodologies have been developed for automatic 3D segmentation and volume rendering of anatomical structures. Such conventional 3D imaging techniques are less suitable for 3D medical analysis, where the clinical meaning of individual anatomical structures may be subtle and/or difficult to estimate by human perception. In particular, the segmentation and volumetric rendering of anatomical structures without an accompanying user-specified classification and/or analysis of the volumes may be insufficient for certain 3D medical analysis.
Intraoperative neuromonitoring (IOM) devices are widely used in neurosurgery, particularly for monitoring brain signals that indicate functionality
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