Abstract
Within the framework of a virtual clinical trial for breast imaging, we aim to develop numerical observers that follow the same detection performance trends as those of a typical human observer. In our prior work, we showed that by including spatio-temporal contrast sensitivity function (stCSF) of human visual system (HVS) in a multi-slice channelized Hotelling observer (msCHO), we can correctly predict trends of a typical human observer performance with the viewing parameters of browsing speed, viewing distance and contrast. In this work we further improve our numerical observer by modeling contrast masking. After stCSF, contrast masking is the second most prominent property of HVS and it refers to the fact that the presence of one signal affects the visibility threshold for another signal. Our results indicate that the improved numerical observer better predicts changes in detection performance with background complexity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Avanaki, A.N., Espig, K.S., Marchessoux, C., Krupinski, E.A., Bakic, P.R., Kimpe, T.R.L., Maidment, A.D.A.: On modeling the effects of display contrast and luminance in a spatio-temporal numerical observer. MIPS presentation, Washington DC (2013)
Avanaki, A.N., Espig, K.S., Maidment, A.D.A., Marchessoux, C., Bakic, P.R., Kimpe, T.R.L.: Development and evaluation of a 3D model observer with nonlinear spatiotemporal contrast sensitivity. To appear in Proc. of SPIE Medical Imaging (2014)
Avanaki, A.N., Espig, K.S., Marchessoux, C., Krupinski, E.A., Bakic, P.R., Kimpe, T.R.L., Maidment, A.D.A.: Integration of spatio-temporal contrast sensitivity with a multi-slice channelized Hotelling observer. In: Proc. SPIE Medical Imaging (2013)
Zhang, Y., Pham, B.T., Eckstein, M.P.: The Effect of Nonlinear Human Visual System Components on Performance of a Channelized Hotelling Observer Model in Structured Back-grounds. IEEE Trans. on Medical Imaging 25, 1348–1362 (2006)
Krupinski, E.A., Lubin, J., Roehrig, H., Johnson, J., Nafziger, J.: Using a human visual system model to optimize soft-copy mammography display: Influence of veiling glare. Acad. Radiol. 13, 289–295 (2006)
Winkler, S.: Issues in vision modeling for perceptual video quality assessment. Signal Processing 78, 231–252 (1999)
Barten, P.G.J.: Contrast sensitivity of the human eye and its effects on image quality. SPIE Optical Engineering Press, Bellingham (1999)
Barni, M., Bartolini, F.: Watermarking Systems Engineering: Enabling Digital Assets Security and Other Applications. CRC Press (2004)
Gallas, B.D.: One-shot estimate of MRMC variance: AUC. Acad. Radiol. 13, 353–362 (2006)
Pokrajac, D., Maidment, A.D.A., Bakic, P.R.: Optimized Generation of High Resolution Breast Anthropomorphic Software Phantoms. Medical Physics 39, 2290–2302 (2012)
Lago, M.A., Maidment, A.D.A., Bakic, P.R.: Modelling of mammographic compression of anthropomorphic software breast phantom using FEBio. In: Proc. Int’l Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE). Salt Lake City, UT (2013)
Kuo, J., Ringer, P., Fallows, S.G., Ng, S., Bakic, P.R., Maidment, A.D.A.: Dynamic reconstruction and rendering of 3D tomosynthesis images. In: Proc. of SPIE, Medical Imaging (2011)
Marchessoux, C., Kimpe, T.R.L., Bert, T.: A virtual image chain for perceived and clinical image quality of medical display. J. of Display Technology 4, 356–368 (2008)
Platiša, L., Goossens, B., Vansteenkiste, E., Park, S., Gallas, B., Badano, A., Philips, W.: Channelized hotelling observers for the assessment of volumetric imaging data sets. J. of Optical Society of America A 28, 1145–1163 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Avanaki, A.R.N., Espig, K.S., Xthona, A., Kimpe, T.R.L., Bakic, P.R., Maidment, A.D.A. (2014). It Is Hard to See a Needle in a Haystack: Modeling Contrast Masking Effect in a Numerical Observer. In: Fujita, H., Hara, T., Muramatsu, C. (eds) Breast Imaging. IWDM 2014. Lecture Notes in Computer Science, vol 8539. Springer, Cham. https://doi.org/10.1007/978-3-319-07887-8_100
Download citation
DOI: https://doi.org/10.1007/978-3-319-07887-8_100
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07886-1
Online ISBN: 978-3-319-07887-8
eBook Packages: Computer ScienceComputer Science (R0)