ABSTRACT:Image fusion is the process of combining relevant information from a set of images into a single image in which the fused image contains more information than any of the input images. This technique improves the quality of data. Image fusion is one of the important re-processing steps in digital image reconstruction. In this paper a review on some of the image fusion techniques like curvelet transform, wavelet transform, contourlet transform, stationary wavelet transform, framelet transform etc. used in image fusion is submitted.
Mixed dyslipidemia is characterized by increased low-density lipoprotein cholesterol (LDL-C) elevated triglycerides (TGs) and decrease high-density lipoprotein cholesterol (HDL-C). It is more common in diabetes and is associated with an increased risk of coronary artery disease. Monotherapy with statins or fibrates may not effectively control all lipid parameters. The atorvastatin-fenofibrate combination has been shown to have highly beneficial effect on lipid parameters in type 2 diabetes associated with combined hyperlipidemia (CHL). In an open-label study, we evaluated the efficacy of atorvastatin alone and in combination with fenofibrate in 60 types 2 diabetes mellitus patients associated with hyperlipidemia. Patients were randomly assigned to receive atorvastatin 10 mg (Group 1) or combination of atorvastatin 10 mg and fenofibrate 145 mg (Group 2) once daily for 12 weeks. The effect of drugs on lipid profile was evaluated before and after treatment. After 12 weeks, the reduction in total cholesterol (TC), TGs, LDL-C, VLDL-C was 28%, 20%, 37% and 20% in Group 1 (P < 0.001 for all) as compared with 31%, 39%, 33% and 40% in Group 2 (P < 0.001 for all). There was insignificant rise in HDL-C in Group 1 (P = 0.71) and insignificant decrease in HDL-C (P = 0.70) in Group 2. During the combination therapy, the decrease in TC, TGs and VLDL-C was greater than atorvastatin alone. The combination of atorvastatin with fenofibrate in type 2 diabetes patients with CHL may have a favorable effect on some major coronary artery disease risk factors.
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