28 February 2012 Evaluation of low contrast detectability performance using two-alternative forced choice method on computed tomography dose reduction algorithms
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Abstract
Today lowering patient radiation dose while maintaining image quality in Computed Tomography has become a very active research field. Various iterative reconstruction algorithms have been designed to improve/maintain image quality for low dose patient scans. Typically radiation dose variation will result in detectability variation for low contrast objects. This paper assesses the low contrast detectability performance of the images acquired at different dose levels and obtained using different image generation algorithms via two-alterative forced choice human observer method. Filtered backprojection and iterative reconstruction algorithms were used in the study. Results showed that for the objects and scan protocol used, the iterative algorithm employed in this study has similar low contrast detectability performance compared to filtered backprojection algorithm at a 4 times lower dose level. It also demonstrated that well controlled human observer study is feasible to assess the image quality of a CT system.
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Jiahua Fan, Priti Madhav, Paavana Sainath, Ximiao Cao, Haifeng Wu, Roy Nilsen, Adam Budde, Girijesh Yadava, Jean-Baptiste Thibault, Jiang Hsieh, "Evaluation of low contrast detectability performance using two-alternative forced choice method on computed tomography dose reduction algorithms", Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 83181F (28 February 2012); doi: 10.1117/12.910754; https://doi.org/10.1117/12.910754
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