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2017 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Computational Methods in Molecular Imaging Technologies

verfasst von: Vinit Kumar Gunjan, Fahimuddin Shaik, C Venkatesh, M. Amarnath

Verlag: Springer Singapore

Buchreihe : SpringerBriefs in Applied Sciences and Technology

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
The method of generating the images related to human body for the clinical analysis is known as medical imaging. Nowadays, it has become a revolution with accurate, faster, and fewer persistent devices. Hence, medical imaging provoked the necessity of equivalent software expansion and pioneering algorithms for processing of image, signal, and speech.
Vinit Kumar Gunjan, Fahimuddin Shaik, C. Venkatesh, M. Amarnath
Chapter 2. Artifacts Correction in MRI Images
Abstract
In this work, we model the ZTE sequence signal to include the excitation profile effect, and formulate a correction algorithm as a solution to an inverse problem.
Vinit Kumar Gunjan, Fahimuddin Shaik, C. Venkatesh, M. Amarnath
Chapter 3. Spiral Cone-Beam CT Reconstruction
Abstract
This image describes the CT image of the phantom which has been captured by the CT machine, and this image is given as the input to the next processes for the generation of the sinogram image and for the process of the back projection.
Vinit Kumar Gunjan, Fahimuddin Shaik, C. Venkatesh, M. Amarnath
Chapter 4. Visual Quality Improvement of CT Image Reconstruction with Quantitative Measures
Abstract
In this existing methodology, the method proposed by Zhang et al. for estimating the field B 1 distortion and simultaneously segmenting an MRI image provides implementation details on how it has been adapted to work with MRI images.
Vinit Kumar Gunjan, Fahimuddin Shaik, C. Venkatesh, M. Amarnath
Backmatter
Metadaten
Titel
Computational Methods in Molecular Imaging Technologies
verfasst von
Vinit Kumar Gunjan
Fahimuddin Shaik
C Venkatesh
M. Amarnath
Copyright-Jahr
2017
Verlag
Springer Singapore
Electronic ISBN
978-981-10-4636-0
Print ISBN
978-981-10-4635-3
DOI
https://doi.org/10.1007/978-981-10-4636-0

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