Dynamic feature analysis of vector-based images for neuropsychological testing

Stephen L. Smith; Basilio R. Cervantes

doi:10.1117/12.312576

3 July 1998 Dynamic feature analysis of vector-based images for neuropsychological testing

Stephen L. Smith, Basilio R. Cervantes

Proceedings Volume 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images; (1998) https://doi.org/10.1117/12.312576
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

The dynamic properties of human motor activities, such as those observed in the course of drawing simple geometric shapes, are considerably more complex and often more informative than the goal to be achieved; in this case a static line drawing. This paper demonstrates how these dynamic properties may be used to provide a means of assessing a patient's visuo-spatial ability -- an important component of neuropsychological testing. The work described here provides a quantitative assessment of visuo-spatial ability, whilst preserving the conventional test environment. Results will be presented for a clinical population of long-term haemodialysis patients and test population comprises three groups of children (1) 7-8 years, (2) 9-10 years and (3) 11-12 years, all of which have no known neurological dysfunction. Ten new dynamic measurements extracted from patient responses in conjunction with one static feature deduced from earlier work describe a patient's visuo-spatial ability in a quantitative manner with sensitivity not previously attainable. The dynamic feature measurements in isolation provide a unique means of tracking a patient's approach to motor activities and could prove useful in monitoring a child' visuo-motor development.

Citation Download Citation

Stephen L. Smith and Basilio R. Cervantes "Dynamic feature analysis of vector-based images for neuropsychological testing", Proc. SPIE 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images, (3 July 1998); https://doi.org/10.1117/12.312576

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