Certain investigations on medical Image compression using wavelet Transform techniques

Abstract

In modern medicine, Medical Imaging has undergone major advancements. Today, this ability to achieve information about the human body has many useful clinical applications. Over the years, different sorts of Medical Imaging have been developed, each with their own advantages and disadvantages. Molecular imaging is used in nuclear medicine and uses a variety of methods to visualize biological processes taking place in the cells of organisms. Small amounts of radioactive markers, called radiopharmaceuticals, are used for molecular imaging. Other types of medical imaging are Magnetic Resonance Imaging (MRI) and ultrasound imaging. Unlike conventional X-ray, CT (Computed Tomography) and Molecular Imaging, MRI and ultrasound operate without ionizing radiation. MRI uses strong magnetic fields, which produce no known irreversible biological effects in humans. MRI is a sophisticated medical imaging technique that uses magnetic fields and radiofrequency to visualize the body s internal structures. The advantages of the imaging modalities like CT and MRI will be fully exploited only through intelligent interpretation of the data. This has been the major limitation in realizing the potential of the imaging. Thus the sophisticated and optimal analysis of the data is the need of the hour in the field of neuromedicine. Nowadays the utilization of medical images are increased in clinical practice and the dimensions of data volumes generated by various medical imaging modalities also increase. Medical imaging has a great impact on diagnosis of diseases and preparation to surgery. On the other hand, the storage and transmission is an important dilemma due to enormous size of medical image data. For example, each slice of CT abdomen images is 512 by 512 of 16 bits, and the data set consists of 200 to 400 images leading to 150 MB of data in average The main aim of this thesis is distribution, storage, and management of digital medical image data sets that requires data compression. The amount of 3D medical image production incr