Improving Signal to Noise Ratio of Low-Dose CT Image Using Wavelet Transform
Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 5
Abstract
Now-a-days, diagnosis of human diseases has become comparatively easier with the help of modern technology. Use of new technology provides more information about the patient condition and also patient’s health can be monitored continuously. Early detection is a very important aspect in diagnosis. CT scanning is one such technique which is very effective and useful for early detection but the patient is exposed to harmful radiation when he/she undergoes CT scan. If the amount of radiation is reduced, the CT image quality decreases i.e. signal to noise ratio (SNR) decreases. Wavelet transform is a tool to analyzed signals and the entire set of wavelet share some common properties but each wavelet has certain unique properties of Image decomposition, de-noising and reconstruction which provides difference in PSNR. In this paper, it is proposed to determine an analysis technique which will provide the required information from low-dose CT image, hence less harmful to the patient. Again in this paper an analysis is carried out on different low dose CT image using different wavelets. Images are decomposed, de-noised and reconstructed and then analyzed in terms of PSNR.
Authors and Affiliations
Anand Chaudhari , Piyush Chaudhary , Dr. A. N. Cheeran , Dr. Yashant Aswani
Keywords
Related Articles
- EP ID EP114233
- DOI -
- Views 85
- Downloads 0
Overview of techniques used for image resolution enhancement
Image resolution enhancement is one of the first steps in image processing. Image resolution enhancement is the process of manipulating an image so that resultant image is more suitable than the original one for specific...
Web-enabled Decision Support System on Most Probable Producing Ability and a Searchable Database on Herd Strength for Livestock Farm Management
An estimate of the producing ability of cattle, known as Most Probable Producing Ability (MPPA) is an important measure, which provides an estimate of future productivity of a dairy animal as the basis of the past produc...
Molecular Database Generation for Type 2 Diabetes using Computational Science-Bioinformatics' Tools
In this paper a new algorithm GIGC is proposed which is the modified form of glucose insulin meal GIM model. Diabetes mellitus is one of the worst diseases that are affecting adversely large population. This motivates ma...
Building an OSS Quality Estimation Model with CATREG
Open Source Software (OSS) has been a popular form in software development. In this paper, we use statistical approaches to derive OSS quality estimation models. Our objective is to build estimation models for the numbe...
Signature Verification Using Neural Network
In this paper we present new improved off-line signature verification system using global and texture features of signatures. This scheme is based on the technique that applies preprocessing on the signature to get a bin...