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Details: Used hardback with no dust jacket, like new condition. some shelf wear, corners/edges are lightly bumped and rubbed. no marks to the text. binding and pages are tight, straight and solid. boards and page edges are clean.; Chapman & Hall/CRC Interdisciplinary Statistics; 9.29 X 6.14 X 1.02 inches; 438 pages.
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Details: (438 pages) statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis). physical principles and mathematical procedures of medical imaging technologies have been extensively studied during past decades. however, less work has been done on their statistical aspect. filling this gap, this book provides a theoretical framework for statistical investigation into medical technologies. rather than offer detailed descriptions of statistics of basic imaging protocols of x-ray ct and mri, the book presents a method to conduct similar statistical investigations into more complicated imaging protocols. introduction data flow and statistics imaging and image statistics statistical image analysis motivation and organization x-ray ct physics and mathematics introduction photon emission, attenuation, and detection attenuation coefficient projections mathematical foundation of image reconstruction fourier slice theorem image reconstruction mri physics and mathematics introduction nuclear spin and mag*n*e*t*ic moment alignment and precession macroscopic mag*n*e*t*ization resonance and relaxation bloch equation and its solution excitation induction k-space and k-space sample image reconstruction echo signal non-diffraction computed tomography introduction interaction between em wave and object inverse scattering problem non-diffraction computed tomography statistics of x-ray ct imaging introduction statistics of photon measurements statistics of projections statistical interpretation of x-ray ct image reconstruction statistics of x-ray ct image introduction statistics of the intensity of a single pixel statistics of the intensities of two pixels statistics of the intensities of a group of pixels statistics of mr imaging introduction statistics of macroscopic mag*n*e*t*izations statistics of mr signals statistics of k-space samples statistical interpretation of mr image reconstruction statistics of mr image introduction statistics of the intensity of a single pixel statistics of the intensities of two pixels statistics of the intensities of a group of pixels discussion and remarks stochastic image models introduction stochastic model i stochastic model ii discussion statistical image analysis – i introduction detection of number of image regions estimation of image parameters classification of pixels statistical image analysis statistical image analysis – ii introduction detection of the number of image regions estimation of image parameters classification of pixels statistical image analysis performance evaluation of image analysis methods introduction performance of the ifnm model-based image analysis method performance of the cfnm model-based image analysis method index tianhu lei is an associate professor at the university of pittsburgh. he has previously worked at the university of maryland, the university of pennsylvania, and the children's hospital of philadelphia. he earned a ph.d. in electric and system engineering from the university of pennsylvania. (Hardback)
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