Titlebook: Medical Image Reconstruction; A Conceptual Tutoria Gengsheng Lawrence Zeng Book 2010 Springer-Verlag Berlin Heidelberg 2010 HEP.Image recon

Toxoid-Vaccines

3D Image Reconstruction,, and cone-beam line-integral projections, separately. For the 3D parallel lineintegral projections and parallel plane-integral projections, there exist the central slice theorems, from which the image reconstruction algorithms can be derived. However, for the cone-beam projections the situation is

类人猿

Iterative Reconstruction,ithms. Due to high speed computers, iterative algorithms get more and more attention in medical image reconstruction. This chapter describes the imaging problem as a system of linear equations, and reconstructs an image by minimizing an objective function. Many algorithms are available to solve the

Loathe

阐释

Gengsheng Lawrence ZengClearly explains the concepts with minimum mathematical derivation.Written in reader-friendly style.Helps the readers to understand modern image reconstruction algorithms with little background.Provid

Scintillations

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mechanical

Springer-Verlag Berlin Heidelberg 2010

covert

Basic Principles of Tomography,raphic image can obtained from its measurements using two simple examples. The concept of projection is then explained. Next, the filtered backprojection image reconstruction method is introduced using a point source example. Finally, the concept of backprojection is discussed.

性行为放纵者

Fan-Beam Image Reconstruction,not along parallel lines, the image reconstruction algorithms presented in Chapter 2 cannot be applied directly. This chapter uses the flat detector and curved detector fan-beam imaging geometries to illustrate how a parallelbeam reconstruction algorithm can be converted to user’s imaging geometry for image reconstruction.

Synchronism

MRI Reconstruction,introduces the imaging physics of MRI, showing how the MRI signals are formed. We will see that the MRI signals are in the Fourier domain and the image reconstruction is achieved via the inverse Fourier transform.

Restenosis

https://doi.org/10.1007/978-3-642-05368-9HEP; Image reconstruction; Medical imaging; Positronen-Emissions-Tomographie; Radon transform; Tomography