论文信息 - Beyond Signal-Detection Theory

Beyond Signal-Detection Theory

Assessment of image quality is an important and long-standing problem. To the user of a medical imaging system, it is important to be able to determine the expected performance of the system in various clinical applications. For the system designer, it is important to know how alteration of various design parameters influences performance.

Kyle J. Myers | Harrison H. Barrett | R. F. Wagner

[1] K. Hanson,et al. Detectability in computed tomographic images. , 1979, Medical physics.

[2] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .

[3] J. Swets,et al. A decision-making theory of visual detection. , 1954, Psychological review.

[4] James P. Egan,et al. Operating Characteristics, Signal Detectability, and the Method of Free Response , 1961 .

[5] H. Barlow. The efficiency of detecting changes of density in random dot patterns , 1978, Vision Research.

[6] James P. Egan,et al. Interval of Time Uncertainty in Auditory Detection , 1961 .

[7] Harrison H. Barrett,et al. Hotelling trace criterion as a figure of merit for the optimization of imaging systems , 1986 .

[8] R L Webber,et al. A simple model combining quantum noise and anatomical variation in radiographs. , 1984, Medical physics.

[9] Kyle J. Myers,et al. Quantifying The Performance Of Imaging Systems , 1985, Medical Imaging.

[10] R. F. Wagner,et al. Application of information theory to the assessment of computed tomography. , 1979, Medical physics.

[11] R. F. Wagner,et al. Efficiency of human visual signal discrimination. , 1981, Science.

[12] J. L. Harris. Resolving Power and Decision Theory , 1964 .

[13] Robert N. McDonough,et al. Detection of signals in noise , 1971 .