Introduction In CT imaging, metallic implants inside the tissues cause metal artifact that reduce the quality of image for diagnosis. In order to reduce the effect of this artifact, a new method with more appropriate results has been presented in this research work. Materials and Methods The presented method comprised of following steps: a) image enhancement and metal areas extraction, b) sinog...

A common need of the INCITS W1.1 Macro Uniformity, Color Rendition and Micro Uniformity ad hoc teams is to digitize image quality test targets and derive parameters that correlate with image quality assessments. The digitized data should be in a colorimetric color space such as CIELAB and have no spatial artifacts that reduce image quality parameter accuracy. Input digitizers come in many forms...

Although a full understanding of the hepatic circulation is one of the keys to successfully perform liver surgery and to elucidate liver pathology, relatively little is known about the functional organization of the liver vasculature. Therefore, we materialized and visualized the human hepatic vasculature at different scales, and performed a morphological analysis by combining vascular corrosio...

Published online: 29/4/2013 Abstract The complementary DNA (cDNA) micro-array image is considered to be the magic biometric technique for personal identification based on the concurrent identification of millions of genes. In this paper, we present a new method for personal identification based on cDNA micro-array image processing and the Artificial Neural Network (ANN). The image processing te...

This paper examines some one-dimensional lossy image compression schemes. To perform one-dimensional compression, an image is scanned into a one-dimensional array which is then compressed. Three types of scanning are considered: raster scan, Hilbert scan, and binary scan. Hilbert and binary scan are found to outperform raster scan. The methods considered for compression are integer wavelet tran...

The image processing tools are extensively used on the development of new algorithms and mathematical tools for the advanced processing of medical and biological images. Given an MRI scan, first segment the tumor region in the MRI brain image and study the pixel intensity values. A detailed procedure using Matlab script is written to extract tumor region in CT scan Brain Image and MRI Scan Brai...

Image quality assessment (IQA) evaluates the quality of an image by computing the difference between the reference and distorted images. This paper proposes an image quality metric (IQM) that uses the motif scan. Since edges often contain much information on an image and the human visual system is highly adapted for extracting structural information from a scene, we propose a new IQM comparing ...

A perennial difficulty in the field of radioisotope scanning* is the fact that the requirements for resolu tion and number of counts are specified independ ently although everyone knows that both contribute to the ultimate picture quality. This difficulty results from the fact that the image degradation due to blurring and that due to statistics are not directly comparable. Blurring introduces ...

In this paper, a real-time virtual reality camera system for the micro environments has been developed with a dynamic focusing lens and a smart vision sensor using the \depth from focus" criteria. In the operation with a microscope, such as the micro-surgery, DNA operation and etc., the small depth of a focus makes bad controllability to actuate 3D micro objects with actuators. For example, if ...

Physical factors such as photon attenuation degrade image quality and quantitative accuracy in single-photon emission computed tomography (SPECT). It is often considered (especially in situations with non-uniform attenuation and distance-dependent spatial resolution (DDSR)) that adequate compensation for the effects of these physical factors requires data acquired over 2 . However, as the analy...