The perception of transparency in medical images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1679, Issue , 1999, Pages 726-734

  Kasrai, Reza ^a,b   Kingdom, Frederick A A ^b   Peters, Terry M ^a,c  

^a MCGILL UNIVERSITY   (Canada)

^b ROYAL VICTORIA HOSPITAL   (Canada)

^c ROBARTS RESEARCH INSTITUTE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; MEDICAL COMPUTING; STEREO IMAGE PROCESSING;

ALGEBRAIC MODELING; HUMAN VISUAL SYSTEM; MULTIPLE MODALITIES; OBSERVER PERFORMANCE; SPATIAL FREQUENCY; SURGICAL PLANNING; TRANSPARENT SURFACES; VOLUMETRIC IMAGES;

MEDICAL IMAGING;

EID: 22844453539     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/10704282_79     Document Type: Conference Paper

References (14)

1. P. St-Jean, A. F. Sadikot, L. Collins, D. Clonda, R. Kasrai, A. C. Evans, and T. M. Peters, Automated atlas integration and interactive three-dimensional visualization tools for planning and guidance in functional neurosurgery, IEEE Trans Med Imaging, vol. 17, pp. 672-80, 1998.
2. D. L. Collins, Volumetric Rendering of Medical Data, Ph.D. Thesis, Montreal, Canada: McGill University, 1990.
3. F. Metelli, The perception of transparency, Sci Am, vol. 230, pp. 90-8, 1974.
4. F. Metelli, O. Da Pos, and A. Cavedon, Balanced and unbalanced, complete and partial transparency, Percept Psychophys, vol. 38, pp. 354-66, 1985.
5. M. D’Zmura, P. Colantoni, K. Knoblauch, and B. Laget, Color transparency, Perception, vol. 26, pp. 471-92, 1997.
6. M. Woo, J. Neider, and T. Davis, in OpenGL programming guide: the officialgui de to learning OpenGL, version 1.1: Addison-WesleyD evelopers Press, 1997, pp. 213-26.
7. J. Beck, K. Prazdny, and R. Ivry, The perception of transparency with achromatic colors, Percept Psychophys, vol. 35, pp. 407-22, 1984.
8. W. Gerbino, C. I. Stultiens, J. M. Troost, and C. M. de Weert, Transparent layer constancy, J Exp Psychol Hum Percept Perform, vol. 16, pp. 3-20, 1990.
9. W. Gerbino, Achromatic Transparency, in Lightness, Brightness, and Transparency, A. L. Gilchrist, Ed.: Lawrence Erlbaum Associates, 1994, pp. 215-255.
10. H. L. Kundel, Visualcues in the interpretation of medical images, J Clin Neurophysiol, vol. 7, pp. 472-83, 1990.
11. R. A. Robb, S. Aharon, and B. M. Cameron, Patient-specific anatomic models from three dimensional medical image data for clinical applications in surgery and endoscopy, J Digit Imaging, vol. 10, pp. 31-5, 1997.
12. P. Kay, R. Robb, R. Myers, and B. King, Creation and validation of patient specific anatomical models for prostate surgery planning using virtual reality, presented at Visualization in Biomedical Computing, 4th International Conference, Berlin, Germany, 1996.
13. G. D. Rubin, M. D. Dake, S. Napel, R. B. Jr. Jeffrey, C. H. McDonnell, F. G. Sommer, L. Wexler, and D. M. Williams, Spiral CT of renal arterystenosis: comparison of three-dimensional rendering techniques, Radiology, vol. 190, pp. 181-9, 1994.
14. C. E. Metz, ROC methodology in radiologic imaging, Invest Radiol, vol. 21, pp. 720-33, 1986.