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Biomedical subjects

J G Holman

Publications and source records attributed to J G Holman.

7 recordsLinked to original sources

Three-dimensional reconstruction: methods of improving image registration and interpretation.

(i) Image registration. The use of serial images for computerised three-dimensional reconstruction necessitates the inclusion of three separate sources of information at the stage of data input. These are (i) artificial registration points or fiducials, (ii) a calibration scale and (iii) an outline of each slab of the section to be included in the reconstruction. Most traditional methods rely on the production of drawings of the contours of the structure under investigation which also include both registration points and a calibration scale. We report on a method which considerably reduces the time involved at this labour intensive stage of reconstruction and in addition allows subsequent reconstructions of different structures to be performed without new drawings. Use is made of computerised alignment of tissue sections and the production of composite photomicrographs of both the tissue under investigation and an accurately registered stage micrometer scale. (ii) Improving image interpretation. Images derived from computerised three-dimensional reconstruction can be affected by the number of coordinates used to form the contour of each slice of a structure and by the number of slices that are used to construct the final model. Too little or too much data can considerably reduce the ability of the observer to interpret accurately the image generated by the computer. We report on a feature-based method which enables the experimenter to assess objectively the amount of data required in the two-dimensional plane, i.e. the number of data points per slice, and the three-dimensional plane, i.e. number of slices per structure, so that optimal reconstructions are generated.

Computer Graphics↗

Pigeons learn the concept of an "A".

Pigeons learned to discriminate between "A"S and "2"s in eighteen different typefaces. They subsequently showed excellent transfer to twenty-two typefaces that they had not previously seen; one pigeon was tested with handwritten letters and responded correctly to them also. Pigeons' responses to "A's and "2's with parts removed suggested that their performance was controlled by several features, none of which alone could be considered necessary or sufficient. A test in which birds were shown other letters of the alphabet supported this conclusion. It appears that the original discrimination was learned as what Ryle calls a "polymorphous concept".

Animals↗

Expert systems for medical applications.

Expert systems, also known as intelligent knowledge based systems (IKBS), are computer programs which act as decision-support systems. They are currently being applied to a number of medical domains, most notably diagnosis and treatment planning. Their function is to assist the medical practitioner by giving ready access to the levels of skill shown by experts in a particular field. Much research effort has been expended but few systems have reached routine medical use. This paper presents a tutorial introduction to expert systems in medicine, explaining the basis of the technology, its current limitations and its prospective uses.

Expert Systems↗

Applications of a microcomputer-based reconstruction system to produce realistic three-dimensional shaded images from serial sections.

A microcomputer-based system is described that generates three-dimensional shaded images from serial section data. It is implemented on the IBM PC-AT microcomputer, using a graphics display card (Real World Graphics PC 4000) to provide sufficient colours for the production of realistically shaded and highlighted images. Image generation time is typically less than 10 min. The capabilities of the system are illustrated by reconstructions of the Kurloff cell from the guinea-pig (based on serial electron micrographs), human teeth (based on light microscope data), the human leg (from gross anatomical sections) and the human brainstem (from stereotaxic atlas data). The system is applicable to a wide variety of serial section data from histological, anatomical and medical imaging systems and ultrastructural studies.

Animals↗