Effects of grayscale window/level parameters on breast lesion detectability

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5034, Issue , 2003, Pages 462-473

  Johnson, Jeffrey P ^a   Nafziger, John ^a   Krupinski, Elizabeth A ^b   Lubin, Jeffrey ^a   Roehrig, Hans ^b  

^a SARNOFF CORPORATION   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

Grayscale window level; Lesion detection; Mammography; Observer performance; Visual discrimination model

Indexed keywords

COMPUTER SIMULATION; RADIOLOGY; SIGNAL DETECTION; TUMORS;

LESION DETECTION;

MAMMOGRAPHY;

EID: 0042860037     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.480340     Document Type: Conference Paper

References (14)

1. Shtern F, Winfield D, et al. Report of the Working Group on Digital Mammography: Digital Displays and Workshop Design. Acad Radiol 1999; 6:S195-S219.
2. Lubin J. A visual system discrimination model for imaging system design and evaluation. In E Peli (ed.), Visual Models for Target Detection and Recognition. World Scientific Publishers, 1995, pp. 245-283.
3. Ahumada Jr AJ, Watson AB, Rohally AM. "Models of Human Image Discrimination Predict Object Detection in Natural Backgrounds." In Rogowitz B, Allebach J (Eds.) Human Vision, Visual Proc and Digital Display VI. Proc SPIE 2411, 1995, pp. 355-362.
4. Daly S. "The Visual Differences Predictor: An Algorithm for the Assessment of Image Fidelity." In Watson, AB (Ed.) Digital Images and Human Vision. Cambridge: MIT Press, 1993, pp. 179-206.
5. Krupinski E, Johnson J, Roehrig H, Lubin J. Using a human visual system model to optimize soft-copy mammography display: Influence of Display Phosphor. Acad Radiol 2003; 10:161-166.
6. Johnson JP, Lubin J, Nafziger J, Chakraborty D. Visual discrimination modeling of lesion detectability. Proc SPIE Medical Imaging 2002; 4686: 248-255.
7. Johnson JP, Krupinski EA, et al. Perceptually optimized compression of mammograms. Proc SPIE Medical Imaging 2002; 4686: 256-262.
8. Johnson JP, Lubin J, Krupinski EA, Peterson HA, Roehrig H, Baysinger A. Visual discrimination model for digital mammography. Proc SPIE Medical Imaging 1999; 3663: 253-263.
9. Jackson WB, Said MR, Jared DA, Larimer JO, Gille JL, Lubin J. Evaluation of human visual models for predicting human-observer performance. Proc SPIE Medical Imaging 1997;3036:64-73.
10. Burgess AE, Jacobson FL, Judy PF. "Human Observer Detection Experiments with Mammograms and Power-law Noise." Med Phys 28: 419-437, 2001.
11. Chakraborty DP, Kundel HL. Anomalous nodule visibility effects in mammographic images. Proc SPIE Medical Imaging 2001; 4324: 68-76.
12. Levit H. Transformed up-down methods in psychoacoustics. J Acoustical Soc Am 33: 467-476, 1970.
13. Heath M, Bowyer K, Kopans D, Moore, R, Kegelmeyer-Jr P. The Digital Database for Screening Mammography. In: Yaffe M, ed. IWDM 2000: 5th International Workshop on Digital Mammography. Madison, WI: Medical Physics, 2001:212-218.
14. Chakraborty D, Conant E, Johnson JP. Observer performance evaluation of a method of simulating abnormalities in mammograms. Proc SPIE Medical Imaging 2002; 4686: 263-272.