| |
      |
|
Computer Observer Models for Automated Medical Image Quality Evaluation and Optimization
(Collaborators: Mike Insana, Univ. of Illinois, Urbana and John Boone, UC Davis)
K.G. Metheany, C.K. Abbey, N. Packard, and J.M. Boone, “Analysis of anatomical noise in the breast: projection imaging versus computed tomography” Accepted to: Medical Physics (Jun. 2008)
M..F. Insana and C.K.Abbey, Information theoretic design of breast sonography," Proc. IEEE Ultrasonics Symp. 07CH37920C, October, New York City, pp. 2485-2488, 2007
C.K. Abbey, R.J. Zemp, J. Liu, K.K. Lindfors, and M.F. Insana, “Observer Efficiency in Boundary Discrimination Tasks Related to Assessment of Breast Lesions with Ultrasound,” Proc. SPIE Med. Imag. (Y. Jiang and M.P. Eckstein Ed.s), Vol. 6146, 2006.
R.J. Zemp, M.D. Parry,C.K. Abbey, and M.F. Insana, “Detection performance theory for ultrasound imaging systems,” IEEE Trans Med Imaging. 24(3):300-10. 2005.
R.J. Zemp, C.K.Abbey and M.F. Insana, “Linear System Models for Ultrasonic Imaging: Application to Signal Statistics,” IEEE Trans. UFFC, 50(6):642-654. 2003.
R.J. Zemp,C.K. Abbey and M.F. Insana, “Generalized NEQ for assessment of ultrasound image quality,” Proc. SPIE, Vol 5030:391-402, 2003.
R.J. Zemp, C.K. Abbey and M.F. Insana, “Ideal observer model for detection of blood perfusion and flow using ultrasound,” Lect. Notes Comput. Sci. 2732: 318-329, 2003
|
|
