Investigation of statistical iterative reconstruction for dedicated breast CT

Andrey Makeev; Mini Das; Stephen J. Glick

doi:10.1117/12.912786

9 March 2012 Investigation of statistical iterative reconstruction for dedicated breast CT

Andrey Makeev, Mini Das, Stephen J. Glick

Proceedings Volume 8313, Medical Imaging 2012: Physics of Medical Imaging; 83131W (2012) https://doi.org/10.1117/12.912786
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Dedicated breast CT has great potential for improving the detection and diagnosis of breast cancer. In this study, statistical iterative reconstruction with a penalized likelihood objective function and a Huber prior are investigated for use with breast CT. This prior has two free parameters, the penalty weight and the edgepreservation threshold, that need to be evaluated to determine those values that give optimal performance. Computer simulations with breast-like phantoms were used to study these parameters using various figuresof- merit that relate to performance in detecting microcalcifications. Results suggested that a narrow range of Huber prior parameters give optimal performance. Furthermore, iterative reconstruction provided improved performance measures as compared to conventional filtered back-projection.

Citation Download Citation

Andrey Makeev, Mini Das, and Stephen J. Glick "Investigation of statistical iterative reconstruction for dedicated breast CT", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83131W (9 March 2012); https://doi.org/10.1117/12.912786

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