Human-Centered Design of Image-Guided Interventions for Minimally-Invasive Surgeries: Toward a Methodology

Abstract

Image-guided interventions are used increasingly in medical procedures, particularly in minimally-invasive surgery (MIS). Despite the benefits of such technologies for patients, there are drawbacks for surgeons. These include reduced field of view (FOV), aperture viewing, and passive viewing. We measured the impact of specific features of imaging devices on tasks relevant to MIS. Results suggest that (a) impairments in navigation due to reduced FOV can be moderated with methods that help users develop mental models of three-dimensional space; (b) illusions of motion due to aperture viewing can be moderated by manipulating properties of the aperture; (c) active control may result in better navigation than passive viewing. Our results suggest several avenues to pursue toward the aim of improving image-guided interventions.

Get full access to this article

View all access options for this article.

References

Bruce

Green

P. R.

Georgeson

M. A.

(1996). Visual perception: Physiology, psychology, and ecology (3rd ed.). East Sussex: Psychology Press.

Cao

C. G. L.

Milgram

(2000). Disorientation in minimal access surgery: A case study. Proceedings of the IEA 2000/HFES 2000 Congress, 4–169–4–172.

Coello

Grealy

M. A.

(1997). Effect of size and frame of visual field on the accuracy of an aiming movement. Perception, 26, 287–300.

Dolezal

(1982). Living in a world transformed: Perceptual and performatory adaptation to visual distortion. NY: Academic Press.

Flach

J. M.

(1990). Control with an eye for perception: Precursors to an active psychophysics. Ecological Psychology, 2, 83–111.

Harman

K. L.

Humphrey

G. K.

Goodale

M. A.

(1999). Active manual control of object views facilitates visual recognition. Current Biology, 9, 1315–1318.

Hochberg

J. E.

(1978). Perception (2nd ed.). Englewood Cliffs, NJ: Prentice-Hall.

Holden

J. G.

Flach

J. M.

Donchin

(1999). Perceptual-motor coordination in an endoscopic surgery simulation. Surgical Endoscopy, 13, 127–132.

MacKenzie

C.L.

Ibbotson

J.A.

(2002). Survey of surgeons' use, assessment and look-ahead of endoscopic surgical technologies. Proceedings of the IEA 2000/HFES 2000 Congress, 165–168.

10.

Mitra

Lee

D. J.

Krile

T.F.

(1990). 3–D Representation from time-sequenced biomedical images using 2-D cepstrum. First Conference on Visualization in Biomedical Computing, Atlanta, GA.

11.

Peters

T.M.

(2000). Image-guided surgery: From X-rays to virtual reality. Computer Methods in Biomechanics and Biomedical Engineering, 4, 27–57.

12.

Tendick

Jennings

R. W.

Tharp

Stark

(1993). Sensing and manipulation problems in endoscopic surgery: Experiment, analysis, and observation. Presence, 2, 66–81.