Magnetic Resonance Image Reconstruction Book [PDF] Download

Download the fantastic book titled Magnetic Resonance Image Reconstruction written by Mehmet Akcakaya, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Magnetic Resonance Image Reconstruction", which was released on 04 November 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Science genre.

Summary of Magnetic Resonance Image Reconstruction by Mehmet Akcakaya PDF

Magnetic Resonance Image Reconstruction: Theory, Methods and Applications presents the fundamental concepts of MR image reconstruction, including its formulation as an inverse problem, as well as the most common models and optimization methods for reconstructing MR images. The book discusses approaches for specific applications such as non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging and quantitative MRI. This unique resource is suitable for physicists, engineers, technologists and clinicians with an interest in medical image reconstruction and MRI. Explains the underlying principles of MRI reconstruction, along with the latest research“/li> Gives example codes for some of the methods presented Includes updates on the latest developments, including compressed sensing, tensor-based reconstruction and machine learning based reconstruction


Detail About Magnetic Resonance Image Reconstruction PDF

  • Author : Mehmet Akcakaya
  • Publisher : Academic Press
  • Genre : Science
  • Total Pages : 518 pages
  • ISBN : 012822746X
  • PDF File Size : 54,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Magnetic Resonance Image Reconstruction

Magnetic Resonance Image Reconstruction
  • Publisher : Academic Press
  • File Size : 35,6 Mb
  • Release Date : 04 November 2022
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Magnetic Resonance Image Reconstruction: Theory, Methods and Applications presents the fundamental concepts of MR image reconstruction, including its formulation as an inverse problem, as well as the most common models

Image Reconstruction

Image Reconstruction
  • Publisher : Walter de Gruyter GmbH & Co KG
  • File Size : 33,6 Mb
  • Release Date : 20 March 2017
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This book introduces the classical and modern image reconstruction technologies. It covers topics in two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. Both

Medical Image Reconstruction

Medical Image Reconstruction
  • Publisher : Springer Science & Business Media
  • File Size : 45,5 Mb
  • Release Date : 28 December 2010
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"Medical Image Reconstruction: A Conceptual Tutorial" introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam

Fundamentals of Computerized Tomography

Fundamentals of Computerized Tomography
  • Publisher : Springer Science & Business Media
  • File Size : 43,8 Mb
  • Release Date : 14 July 2009
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This revised and updated second edition – now with two new chapters - is the only book to give a comprehensive overview of computer algorithms for image reconstruction. It covers the

Image Reconstruction in Radiology

Image Reconstruction in Radiology
  • Publisher : CRC Press
  • File Size : 48,9 Mb
  • Release Date : 18 January 2018
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This one-of-a-kind resource provides a very readable description of the methods used for image reconstruction in magnetic resonance imaging, X-ray computed tomography, and single photon emission computed tomography. The goal

Iterative-Interpolation Super-Resolution Image Reconstruction

Iterative-Interpolation Super-Resolution Image Reconstruction
  • Publisher : Springer Science & Business Media
  • File Size : 42,6 Mb
  • Release Date : 08 April 2009
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To my wife, Mitu - Vivek Bannore Preface Preface In many imaging systems, under-sampling and aliasing occurs frequently leading to degradation of image quality. Due to the limited number of

Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction
  • Publisher : Springer Nature
  • File Size : 21,9 Mb
  • Release Date : 21 October 2020
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This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop

Minimax Theory of Image Reconstruction

Minimax Theory of Image Reconstruction
  • Publisher : Springer Science & Business Media
  • File Size : 33,5 Mb
  • Release Date : 06 December 2012
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There exists a large variety of image reconstruction methods proposed by different authors (see e. g. Pratt (1978), Rosenfeld and Kak (1982), Marr (1982)). Selection of an appropriate method for a specific problem

3D Image Reconstruction for CT and PET

3D Image Reconstruction for CT and PET
  • Publisher : CRC Press
  • File Size : 40,9 Mb
  • Release Date : 11 October 2020
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This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART,