文章基本信息

标题：Optimization of Bilateral Filter for DICOM Images
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作者：Karanvijay Bhullar ; Dr. Neelu Jain
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：12920
DOI：10.15680/IJIRSET.2017.0607080
出版社：S&S Publications
摘要：DICOM (Digital Imaging and Communication in Medicine) is the standard for storing, handling,printing and transmitting information in Medical Imaging. DICOM Image files are also known as ‘.dcm’ format files.DICOM Images are prone to noise and get corrupted due to reasons like presence of ambient noise from environment,acquisition and transmission noise from the equipment etc which can considerably affect the diagnosis and treatment.Presence of noise is a major concern which calls for efficient smoothing and filtering of DICOM Images. BilateralFilter has gained a lot of importance in Medical Imaging as it preserves fine details, edges and textures of an image. Inthis paper, a technique using Bilateral Filter and Genetic Algorithm is proposed to denoise and to smooth the texturesof DICOM Images. The database used is of 20 MRI Images and 20 Ultrasound Images in ‘.dcm’ format. The results areanalyzed on the basis of parameters MSE and PSNR. The accuracy of filter is analyzed using Kappa statistic. For thecollected DICOM database, implementation has also been done for existing technique which is Lemma distributionsbased Fast Bilateral Filter and is compared with the proposed technique. The results show that the proposed techniqueis better in terms of MSE, PSNR and Kappa Coefficient. The proposed technique is found to be very effective infiltering and smoothing the textures of DICOM Images and can be deployed where smoothing and filtering of DICOMImages are required for proper diagnosis and treatment.
关键词：Bilateral Filter; DICOM; Genetic Algorithm; Image Filtering; Image Smoothing; Medical Images;MSE; Optimization and PSNR.