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Engineering in Medicine and Biology Magazine, IEEE

Issue 4 • Date Dec. 1991

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Displaying Results 1 - 7 of 7
  • Functional imaging of the human body

    Page(s): 21 - 29
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (933 KB)  

    Design principles for apparatus and methods of safe, noninvasive functional imaging of a human organism by mapping physical electromagnetic fields are presented. The methods covered are infrared dynamic thermoimaging, radiothermal imaging, acoustothermometry, magnetic mapping of the heart and brain, electric imaging, and optical multispectral mapping.<> View full abstract»

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  • Knowledge-based 3D analysis from 2D medical images

    Page(s): 30 - 37
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (879 KB)  

    An anatomical knowledge-based system for image analysis that interprets CT/MR (computed tomography/magnetic resonance) images of the human chest cavity is reported. The approach utilizes a low-level image analysis system with the ability to analyze the data in bottom-up (or data-driven) and top-down (or model-driven) modes to improve the high-level recognition process. Several image segmentation algorithms, including K-means clustering, pyramid-based region extraction, and rule-based merging, are used for obtaining the segmented regions. To obtain a reasonable number of well-segmented regions that have a good correlation with the anatomy, a priori knowledge in the form of masks is used to guide the segmentation process. Segmentation of the brain is also considered.<> View full abstract»

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  • A knowledge-based approach to intelligent alarms in anesthesia

    Page(s): 38 - 44
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (864 KB)  

    The combination and aggregation of separate information sources to generate more 'intelligent' alarms using a knowledge-based approach is described. The approach gas developed as part of the knowledge-based anesthesia decision support system, AES-2, which monitors the patient's physiological state during anesthesia and eventually suggests therapeutic actions. Integration of the alarm system into a conventional information system is discussed. The state variable model used and the modeling of uncertainty are examined. The tools that support knowledge acquisition, design of knowledge-base prototypes. and test of the knowledge base of the AES-2 are described. A simulation example is given.<> View full abstract»

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  • A qualitative analysis of nonorthogonal CO/sub 2/ laserbeam delivery

    Page(s): 45 - 48
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (494 KB)  

    Recent studies have been conducted to investigate the effects of nonorthogonal beam delivery on the geometry of the craters formed by laser beams in biological media. The final results, obtained with samples of the quasi-biological solid methacrylate Vedril C, clearly show that major alterations to the classical cone-shaped crater do occur. The results of these first investigations are presented here together with a qualitative discussion of the possible causes of this phenomenon. It is concluded that curved craters should also be expected in vivo.<> View full abstract»

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  • High-tech wheelchairs gain the competitive edge

    Page(s): 49 - 55
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    Some of the features of ultralight and rigid sports wheelchairs are described, and some of the rationale behind sport wheelchair design is explained. The discussion covers frame design, materials, geometry, locating the center of gravity, ride comfort and durability, the user-wheelchair interface, wheels and casters, alignment, and components.<> View full abstract»

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  • Safety in medical signal analysis

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    A number of issues are raised about the possibility of erroneous results obtained from signal analysis techniques that could lead to an incorrect diagnosis or an inadequate decision. An example is the use of a filter to attenuate interference when the (unidimensional) signal of interest contains wavelets. The output wavelets may be distorted by the filter in such a way that their interpretation leads to an incorrect diagnosis. In medical imaging, peripheral hot spots and sunburst streaking in computed tomography, blurring of tomographic reconstruction of cardiac images (as in single-photon-emission computed tomography, or SPECT) due to organ movement, and artifact due to image enhancement are among the difficulties introduced by signal analysis methodology. Some general recommendations are put forward as to how to deal with these kinds of problems.<> View full abstract»

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  • Applying artificial intelligence to the identification of variegated coloring in skin tumors

    Page(s): 57 - 62
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (692 KB)  

    The importance of color information for the automatic diagnosis of skin tumors by computer vision is demonstrated. The utility of the relative color concept is proved by the results in identifying variegated coloring. A feature file paradigm is shown to provide an effective methodology for the independent development of software modules for expert system/computer vision research. An automatic induction tool is used effectively to generate rules for identifying variegated coloring. Variegated coloring can be identified at rates as high as 92% when using the automatic induction technique in conjunction with the color segmentation method.<> View full abstract»

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Aims & Scope

IEEE Engineering in Medicine and Biology Magazine contains articles on current technologies and methods used in biomedical and clinical engineering.

 

This Magazine ceased publication in 2010. The current retitled publication is IEEE Pulse.

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