Analysis of lung nodule detectability and anatomical clutter in tomosynthesis imaging of the chest
暂无分享,去创建一个
[1] H H Barrett,et al. Objective assessment of image quality: effects of quantum noise and object variability. , 1990, Journal of the Optical Society of America. A, Optics and image science.
[2] Jeffrey H Siewerdsen,et al. Cascaded systems analysis of the 3D noise transfer characteristics of flat-panel cone-beam CT. , 2008, Medical physics.
[3] J H Siewerdsen,et al. Generalized DQE analysis of radiographic and dual-energy imaging using flat-panel detectors. , 2005, Medical physics.
[4] Rebecca Fahrig,et al. Cascaded systems analysis of the 3D NEQ for cone-beam CT and tomosynthesis , 2008, SPIE Medical Imaging.
[5] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[6] Ying Chen,et al. Noise power spectrum analysis for several digital breast tomosynthesis reconstruction algorithms , 2006, SPIE Medical Imaging.
[7] E Samei,et al. Detection of subtle lung nodules: relative influence of quantum and anatomic noise on chest radiographs. , 1999, Radiology.
[8] K. Hanson,et al. Detectability in computed tomographic images. , 1979, Medical physics.
[9] Arthur E Burgess,et al. Signal detection in power-law noise: effect of spectrum exponents. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.
[10] Lubomir M. Hadjiiski,et al. A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis. , 2006, Medical physics.
[11] R P Velthuizen,et al. On the statistical nature of mammograms. , 1999, Medical physics.
[12] R. F. Wagner,et al. Objective assessment of image quality. II. Fisher information, Fourier crosstalk, and figures of merit for task performance. , 1995, Journal of the Optical Society of America. A, Optics, image science, and vision.
[13] John M Boone,et al. Characterizing anatomical variability in breast CT images. , 2008, Medical physics.
[14] M P Eckstein,et al. Visual signal detection in structured backgrounds. II. Effects of contrast gain control, background variations, and white noise. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.
[15] A. Burgess,et al. Human observer detection experiments with mammograms and power-law noise. , 2001, Medical physics.
[16] Jeffrey H. Siewerdsen,et al. Cone-beam CT with a flat-panel imager: noise considerations for fully 3D computed tomography , 2000, Medical Imaging.
[17] M P Eckstein,et al. Visual signal detection in structured backgrounds. IV. Figures of merit for model performance in multiple-alternative forced-choice detection tasks with correlated responses. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.
[18] D. Jaffray,et al. A framework for noise-power spectrum analysis of multidimensional images. , 2002, Medical physics.
[19] Matthew A. Kupinski,et al. Objective Assessment of Image Quality , 2005 .
[20] Craig K. Abbey,et al. Further investigation of the effect of phase spectrum on visual detection in structured backgrounds , 1999, Medical Imaging.
[21] L. Feldkamp,et al. Practical cone-beam algorithm , 1984 .
[22] Aarnout Brombacher,et al. Probability... , 2009, Qual. Reliab. Eng. Int..
[23] M P Eckstein,et al. Visual signal detection in structured backgrounds. III. Calculation of figures of merit for model observers in statistically nonstationary backgrounds. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.
[24] N. R. Bennett,et al. Characterization of a novel anthropomorphic plastinated lung phantom. , 2006, Medical physics.
[25] A. Wambersie,et al. The ICRU (International Commission on Radiation Units and Measurements): its contribution to dosimetry in diagnostic and interventional radiology. , 2005, Radiation protection dosimetry.
[26] Rebecca Fahrig,et al. Characterization of a novel anthropomorphic plastinated lung phantom. , 2008 .
[27] I. Cunningham. Applied Linear-Systems Theory , 2000 .