Enhanced displays of medical images: evaluation of the effectiveness of color, motion, and contour for detecting and localizing liver lesions.

RATIONALE AND OBJECTIVES Many perceptual studies have shown that the detection of large, low-contrast targets is better either in color or in contrast-reversing presentations than in standard gray scale. We determined the value of several new display techniques for viewing liver computed tomography (CT) scans. METHODS Eight observers (four radiologists and four nonradiologists) viewed sets of 100 liver CT images (50 with lesions and 50 without) under five display conditions on a Macintosh computer: (1) color (equiluminant color contrast); (2) color-luminance (combined luminance and chromatic contrast); (3) flicker (luminance contrast that reversed polarity at 2 Hz); (4) contour (shaded intensity mapping); and (5) control (conventional gray scale). Receiver operating characteristics (ROC) techniques were used for analysis. RESULTS The measured ROC curve areas for the different viewing conditions were as follows: control = 0.77 +/- 0.01 (mean +/- standard error of the mean); color = 0.78 +/- 0.01; color-luminance = 0.82 +/- 0.01; flicker = 0.78 +/- 0.01; and contour = 0.76 +/- 0.01. The percentage of lesions correctly located ranged from 0.82 (color-luminance) to 0.75 (flicker). Performance under the color-luminance condition was significantly better than in the control condition (p = .01), whereas the other experimental conditions were not significantly different from the control condition (p > .21). CONCLUSION The use of mixed color and luminance displays may have perceptual advantages for radiologists and can improve performance over that of gray-scale viewing.

[1]  Peter K. Kaiser,et al.  Sensation luminance: A new name to distinguish CIE luminance from luminance dependent on an individual's spectral sensitivity , 1988, Vision Research.

[2]  C. Pelizzari,et al.  Retrospective geometric correlation of MR, CT, and PET images. , 1988, Radiology.

[3]  D Magid,et al.  Volumetric rendering techniques: applications for three-dimensional imaging of the hip. , 1987, Radiology.

[4]  J. P. Cavanagh,et al.  Reconstructing the third dimension: Interactions between color, texture, motion, binocular disparity, and shape , 1987, Comput. Vis. Graph. Image Process..

[5]  A. Rose The sensitivity performance of the human eye on an absolute scale. , 1948, Journal of the Optical Society of America.

[6]  R. Swensson,et al.  Analysis of rating data from multiple-alternative tasks☆ , 1989 .

[7]  M W Vannier,et al.  Multispectral and color-aided displays. , 1989, Investigative radiology.

[8]  J S McGlone,et al.  Three-dimensional representation and analysis of brain energy metabolism. , 1987, Science.

[9]  M E Noz,et al.  Hepatic hemangiomas: diagnosis with fusion of MR, CT, and Tc-99m-labeled red blood cell SPECT images. , 1991, Radiology.

[10]  C. Metz,et al.  A New Approach for Testing the Significance of Differences Between ROC Curves Measured from Correlated Data , 1984 .

[11]  Haim Levkowitz,et al.  Color scales for image data , 1992, IEEE Computer Graphics and Applications.

[12]  D. H. Kelly Spatiotemporal variation of chromatic and achromatic contrast thresholds. , 1983, Journal of the Optical Society of America.

[13]  C. F. Stromeyer,et al.  Colour is what the eye sees best , 1993, Nature.

[14]  R G Swensson,et al.  Flattening of the contrast-detail curve for large lesions on liver CT images. , 1994, Medical physics.

[15]  N Ohyama,et al.  Holography of 3D surface reconstructed CT images. , 1988, Journal of computer assisted tomography.

[16]  D. H. Kelly Motion and vision. II. Stabilized spatio-temporal threshold surface. , 1979, Journal of the Optical Society of America.

[17]  J F Cornhill,et al.  Hybrid color MR imaging display. , 1987, AJR. American journal of roentgenology.

[18]  D. Dorfman,et al.  Maximum-likelihood estimation of parameters of signal-detection theory and determination of confidence intervals—Rating-method data , 1969 .

[19]  R H Hruban,et al.  Three-dimensional reconstruction of the human body. , 1988, AJR. American journal of roentgenology.