2 research outputs found
Multisensory integration: does haptics improve tumour delineation?
The ability to use touch in addition to vision when searching for anomalies and
differences in texture is well known to be beneficial to human perception in general. The aim of this thesis is to evaluate the potential benefit of using a haptic
signal in conjunction with visual images to improve detection and delineation of
tumours in medical imaging data. One of the key issues with tumour delineation in
the field today is the interclinician variance in delineating tumours for diagnostics
and treatment, where even clinicians who have similar sensitivity and precision
levels tend to delineate widely different underlying shapes. Through three experiments we investigate whether the ability to touch a medical image improves
tumour delineation. In the first experiment, we show that combined visuohaptic cues significantly improves performance for signal detection of a 2D Gaussian
embedded in a noisy background. In the second experiment, we found that the
relative dissimilarity of different images per modality did not systematically decrease precision in a two-alternative forced choice (2AFC) slant discrimination
task, in a spatially coaligned visuohaptic rig. In the third and final experiment
we successfully found that observers are significantly better at delineating generated ‘tumours’ in synthetic ‘medical images’ when the haptic representation of the
image is present compared to drawing on a flat surface, in a spatially coaligned
visuohaptic rig