Effect of maximum likelihood-median processing on the contrast-to-noise ratio in digital chest radiography

Alan H. Baydush; Carey E. Floyd Jr.

doi:10.1117/12.175093

11 May 1994 Effect of maximum likelihood-median processing on the contrast-to-noise ratio in digital chest radiography

Alan H. Baydush, Carey E. Floyd Jr.

Proceedings Volume 2167, Medical Imaging 1994: Image Processing; (1994) https://doi.org/10.1117/12.175093
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

Previously, we have shown that Maximum Likelihood Expectation Maximization (MLEM) can be used to effectively estimate a scatter reduced image in digital chest radiography; however, the MLEM technique is known to increase image noise. A MLEM-median (ML- median) technique has been implemented that follows each MLEM iteration with a 3x3 median filter for noise reduction. Subjective image quality of the scatter reduced ML-median processed image was improved over the original measured image with enhanced visualization of the retrocardiac region and the mediastinum. In both the mediastinum and the lung region, contrast was significantly improved, while percent noise (noise) was only slightly increased over that of the measured image. The contrast-to-percent noise ratio (CNF) in these regions was increased 130 percent, on average. ML-median processing was compared to Bayesian Image Estimation that incorporated a Gibb's prior. CNR for the ML-median technique was increased 16.5 percent and 49.7 percent in the lung and mediastinum regions, respectively, over that of the Bayesian technique. The effect of ML-median processing on resolution was also examined.

Citation Download Citation

Alan H. Baydush and Carey E. Floyd Jr. "Effect of maximum likelihood-median processing on the contrast-to-noise ratio in digital chest radiography", Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); https://doi.org/10.1117/12.175093

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