A New Approach for Enhancing the Quality of Medical Computerized Tomography Images

Abstract

Computerized tomography (CT) images contribute immensely to medical research and diagnosis. However, due to degradative factors such as noise, low contrast, and blurring, CT images tend to be a degraded representation of the actual body or part under investigation. To reduce the risk of imprecise diagnosis associated with poor-quality CT images, this paper presents a new technique designed to enhance the quality of medical CT images. The main objective is to improve the appearance of CT images in order to obtain better visual interpretation and analysis, which is expected to ease the diagnosis process. The proposed technique involves applying a median filter to remove noise from the CT images and then using a Laplacian filter to enhance the edges and the contrast in the images. Also, as CT images suffer from low contrast, a Contrast Limited Adaptive Histogram Equalization transform is also applied to solve this problem. The main strength of this transform is its modest computational requirements, ease of application, and excellent results for most images. According to a subjective assessment by a group of radiologists, the proposed technique resulted in excellent enhancement, including that of the contrast and the edges of medical CT images. From a medical perspective, the proposed technique was able to clarify the arteries, tissues, and lung nodules in the CT images. In addition, blurred nodules in chest CT images were enhanced effectively. Therefore the proposed technique can help radiologists to better detect lung nodules and can also assist in diagnosing the presence of tumours and in the detection of abnormal growths.

Authors and Affiliations

Mutaz Al-Frejat, Mohammad HjoujBtoush

Keywords

Related Articles

Adoption of e-Government in Pakistan: Supply Perspective

Electronic Government, also known as e-Government, is a convenient way for citizens to access e- services and to conduct business with the government using the Internet. It saves citizens and the government both time and...

Implementing and Comparison between Two Algorithms to Make a Decision in a Wireless Sensors Network

The clinical presentation of acute CO poisoning and hydrocarbon gas (Butane CAS 106-97-8) varies depending on terrain, humidity, temperature, duration of exposure and the concentration of gas toxic: From then consciousne...

Policy-Based Automation of Dynamique and Multipoint Virtual Private Network Simulation on OPNET Modeler

The simulation of large-scale networks is a challenging task especially if the network to simulate is the Dynamic Multipoint Virtual Private Network, it requires expert knowledge to properly configure its component techn...

An Opportunistic Dissemination Protocol for VANETs

Crowded places like Hajj environment in Makkah which host from 2 to 3 million on specific area and time can pose health challenges for pilgrims who need medical care. One of the solutions to overcome such difficulties is...

Modelling for Forest Fire Evolution Based on the Energy Accumulation and Release

Forest fire evolution plays an important role in the decision-making of controlling the forest fire. This paper aims to simulate the dynamics of the forest fire spread using a cellular automaton approach. Having analyzed...

Download PDF file
  • EP ID EP143994
  • DOI 10.14569/IJACSA.2016.070564
  • Views 91
  • Downloads 0

How To Cite

Mutaz Al-Frejat, Mohammad HjoujBtoush (2016). A New Approach for Enhancing the Quality of Medical Computerized Tomography Images. International Journal of Advanced Computer Science & Applications, 7(5), 476-483. https://europub.co.uk./articles/-A-143994