DK1212_C009 - Part III Image Processing and Analysis The...

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Part III Image Processing and Analysis The third part of this book is devoted to the concepts of more com- monly used methods of biomedical image processing and analysis. Again, the emphasis is put more on the principles and explanation of the philosophy behind the methods than on the implementation details specific to concrete image processing tasks. The final goal is the insight into the approaches and methods, so that the reader will be able to choose appropriate methods and use them with under- standing, possibly properly adjusting their parameters or modifying partial features. Understanding of the concepts should also enable correct interpretation of the obtained results from the physical point of view, even when the user is more inclined toward concrete medical applications. The treatment of the material is adapted to these goals: the necessary mathematical formalism is supported by references to physical and intuitive interpretation in order that the explanation would be perceived (hopefully) as consistent and meaningful. When something is exceptionally introduced without (at least indicated) derivation, it is presented with a notice; in other cases, it should be possible to follow the text as a continuous development. © 2006 by Taylor & Francis Group, LLC
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For those who intend to go further in developing the image processing theory and methods, this part of the book should be considered introductory. Details on individual methods and deeper underlying mathematical theory can be found in the literature, partly listed in the reference section. The following chapters are intended to provide a lucid way through the fundamental terms, concepts, and methods of medical image processing, thus providing the knowl- edge necessary for a meaningful study of the specialized mono- graphs and original papers. The third part of the book is basically divided into three segments: Methods of obtaining new quality from measured data, fun- damental in today’s medical imaging: the reconstruction of tomographic images (Chapter 9), forming the computational engine of tomographic modalities like computed tomography (CT), single-photon emission computed tomography (SPECT), and positron emission tomography (PET) (mag- netic resonance imaging (MRI) and ultrasonography will also be mentioned, though the reconstruction may be differently formulated), and image fusion (Chapter 10) — the area which provides qualitatively higher information by combining, in a broad sense, image data from different sources, obtained at different times, or from different aspects (image registration, comparison and fusion, disparity and flow analysis). Image processing and restoration (Chapters 11 and 12) defined as computationally deriving an output image (hope- fully better, in a sense) based on input image data; the methods are rather generic and apply to most imaging modalities, though with modality-specific particularities and modifications.
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This note was uploaded on 02/27/2008 for the course BME 525 taught by Professor Singh during the Fall '07 term at USC.

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DK1212_C009 - Part III Image Processing and Analysis The...

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