Research on Medical Image Processing Method Based on the MATLAB
This paper emphasizes the MATLAB-based medical image processing tools. It includes the theoretical background and examples. Through MATLAB, this paper makes the introduction of the post-imaging quality in medical technology and medical imaging. It also in
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Research on Medical Image Processing Method Based on the MATLAB Shirui Gao Abstract This paper emphasizes the MATLAB-based medical image processing tools. It includes the theoretical background and examples. Through MATLAB, this paper makes the introduction of the post-imaging quality in medical technology and medical imaging. It also introduces the medical image processing technology and describes the image processing and processing technologies, including the organ contours, interpolation, filtering, and segmentation techniques. In medicine, the DICOM image data processing using MATLAB is also widely used in this type of image processing. Keywords Matlab • Medical imaging • Data processing
35.1 Introduction Advanced image processing and analysis technology are increasingly used in medicine. In medical applications, image data are used to collect the details of the imaging process of the patients, whether it is a disease process or physiological process [1]. The information provided in medical imaging has become an important part in today’s patient care. The applications of medical images are complex and changes from one form to another. The medical images display information on the characteristics of the structure, organs, and physiological characteristics. In order to have high-quality medical diagnostic imaging, image processing is necessary. The range of image processing and analysis of medical applications is to improve the quality of acquired images and extract quantitative information from an efficient medical imaging data in accurate manner. Matrix Laboratory (MATLAB) is a high-performance interactive software package developed by Math Works Inc. (2009) scientific and engineering
S. Gao (*) School of Information Science and Technology, Northwest University, 710127 Xi’an, China e-mail: [email protected]
Z. Zhong (ed.), Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012, Lecture Notes in Electrical Engineering 217, DOI: 10.1007/978-1-4471-4850-0_35, © Springer-Verlag London 2013
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computing [2]. MATLAB allows matrix operations, algorithm implementation, simulation, drawing functions and data, signal and image processing, and image processing toolbox. It allows several ways of medical imaging, quantitative analysis and visualization of single-photon emission computed tomography (SPECT), positron emission tomography (PET), or hybrid systems (SPECT/CT examination), and computed tomography system (CT) scan is included in the SPECT system [3]. The image processing toolbox is a comprehensive reference standard algorithm and has graphical image processing, analysis, visualization, and algorithm development tools. It offers the possibility of noisy or degraded image restoration, improves image clarity, feature extraction, and analysis of shapes and textures, and registers the two images. Therefore, with all the features, we can use MATLAB to perform any sophisticated analysis of the image. Most toolbox functions are written in MATLAB’s ope
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