Stent enhancement using a locally adaptive unsharp masking filter in digital x-ray fluoroscopy

Yuhao Jiang; Eranda Ekanayake

doi:10.1117/12.2043845

21 March 2014 Stent enhancement using a locally adaptive unsharp masking filter in digital x-ray fluoroscopy

Yuhao Jiang, Eranda Ekanayake

Author Affiliations +

Proceedings Volume 9034, Medical Imaging 2014: Image Processing; 90342G (2014) https://doi.org/10.1117/12.2043845
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

Low exposure X-ray fluoroscopy is used to guide some complicate interventional procedures. Due to the inherent high levels of noise, improving the visibility of some interventional devices such as stent will greatly benefit those interventional procedures. Stent, which is made up of tiny steel wires, is also suffered from contrast dilutions of large flat panel detector pixels. A novel adaptive unsharp masking filter has been developed to improve stent contrast in real-time applications. In unsharp masking processing, the background is estimated and subtracted from the original input image to create a foreground image containing objects of interest. A background estimator is therefore critical in the unsharp masking processing. In this specific study, orientation filter kernels are used as the background estimator. To make the process simple and fast, the kernels average along a line of pixels. A high orientation resolution of 18° is used. A nonlinear operator is then used to combine the information from the images generated from convolving the original background and noise only images with orientation filters. A computerized Monte Carlo simulation followed by ROC study is used to identify the best nonlinear operator. We then apply the unsharp masking filter to the images with stents present. It is shown that the locally adaptive unsharp making filter is an effective filter for improving stent visibility in the interventional fluoroscopy. We also apply a spatio-temporal channelized human observer model to quantitatively optimize and evaluate the filter.

Citation Download Citation

Yuhao Jiang and Eranda Ekanayake "Stent enhancement using a locally adaptive unsharp masking filter in digital x-ray fluoroscopy", Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90342G (21 March 2014); https://doi.org/10.1117/12.2043845

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