Chowdhury, Amit KR and Barman, Kaushik and Ramakrishnan, KR (1998) Region-of-interest reconstruction from noisy projections using fractal models and Wiener filtering. In: Sadhana, 23 (1). pp. 29-43.
In this paper, we present a method for region-of-interest (ROI) tomography using noisy projections. A wavelet decomposition down to the coarsest level is done on the noisy signal. The signal at various levels is estimated using a Wiener filter. By assuming that the projections are 1/f processes, the Wiener filtering reduces to a scalar multiplication. Using the Wiener filter and regularity property of the wavelets, we combine the estimation and localisation of the noisy projections for ROI imaging. Experimental results are shown on Shepp-Logan phantom and actual CT images. The validity of the 1/f model for projections of real life images is also shown.
|Item Type:||Journal Article|
|Additional Information:||Copyright for this article belongs to Indian Academy of Sciences.|
|Keywords:||Region-of-interest reconstruction;noisy projection;fractal models;Wiener filtering|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||30 Dec 2004|
|Last Modified:||19 Sep 2010 04:15|
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