Title :
Computed tomography soft tissue restoration using wiener filter
Author :
Hussien, M. Naeem ; Saripan, M. Iqbal
Author_Institution :
Dept. of Comput. & Commun. Syst. Eng., Univ. Putra Malaysia, Serdang, Malaysia
Abstract :
This paper presents image restoration for Computed Tomography (CT) scan image particularly soft tissue area using image restoration technique. The approach of these technique are using inverse filtering which specifically involving Wiener filter to remove the noise and blur simultaneously in the CT image further restore the degraded CT image. CT scan image usually showing less detail visualization of soft tissue compare to Magnetic Resonance Imaging (MRI) scan image. The new CT image after restoration technique showed significantly high contrast compared to the original CT image produced by the CT scan machine. This procedure also shows comparison of different values use for noise to signal ratio (NSR) in Wiener filter equation to generate the estimate output of CT image. In this procedure values of NSR are treat as constant.
Keywords :
Wiener filters; biological tissues; cellular biophysics; computerised tomography; diagnostic radiography; filtering theory; image denoising; image restoration; medical image processing; Wiener filter; computed tomography; image contrast; image deblurring; image denoising; image visualization; inverse filtering; noise to signal ratio; soft tissue image restoration; Computed Tomography; Magnetic Resonance Imaging; Soft tissue; Wiener filter;
Conference_Titel :
Research and Development (SCOReD), 2010 IEEE Student Conference on
Conference_Location :
Putrajaya
Print_ISBN :
978-1-4244-8647-2
DOI :
10.1109/SCORED.2010.5704045