Advances in Quantitative Image

Quantitative image analysis involves utilizing digital images to provide data and information. This is done with computer technology to recognize patterns, create maps, and process signals within images that cannot be done with the human eye due to the large amount of information generated and collected. There are many different methods for quantitative image analysis including medical scanning, object recognition, and three-dimensional modeling techniques. The techniques are performed by individuals trained in computer engineering, computer vision, and image analysis, who understand how to use technology to analyze data.

 

In the present book, fifteen typical literatures about quantitative image published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on quantitative 3D PET image, image analysis, comparison of image quality, Impact of image quality, etc. We hope this book can demonstrate advances in quantitative image as well as give references to the researchers, students and other related people.

Components of the Book:
  • Chapter 1
    High-resolution, quantitative 3D PET image reconstruction for the Siemens hybrid 3T MR/BrainPET scanner using the PET reconstruction software toolkit (PRESTO)
  • Chapter 2
    Numerical modeling of MR angiography for validation of image-driven quantitative diagnosis of intracranial aneurysm and carotid stenosis
  • Chapter 3
    A qualitative and quantitative assessment of cardiac cine Phase contrast MRI: comparison of image quality between 2D and 3D acquisition
  • Chapter 4
    Implementation of the Rank-Weighted Co-localization (RWC) algorithm in multiple image analysis platforms for quantitative analysis of microscopy images
  • Chapter 5
    Accuracy of a remote quantitative image analysis in the whole slide images
  • Chapter 6
    Impact of image quality on OCT angiography based quantitative measurements
  • Chapter 7
    Comparison of PET template-based and MRI-based image processing in the quantitative analysis of C11-raclopride PET
  • Chapter 8
    Quantitative Image Analysis of Ni-P Coatings Deposited on Carbon Fibers
  • Chapter 9
    Quantitative Assessment of Mammary Gland Density in Rodents Using Digital Image Analysis
  • Chapter 10
    Quantitative assessment of the impact of biomedical image acquisition on the results obtained from image analysis and processing
  • Chapter 11
    Comparative study of two protocols for quantitative image-analysis of serotonin transporter clustering in lymphocytes, a putative biomarker of therapeutic efficacy in major depression
  • Chapter 12
    Quantitative anatomy of the growing clavicle in the human fetus: CT, digital image analysis, and statistical study
  • cChapter 13
    Quantitative comparison of motion history image variants for video-based depression assessment
  • Chapter 14
    Patterns of locoregional failure following post-operative intensity-modulated radiotherapy to oral cavity cancer: quantitative spatial and dosimetric analysis using a deformable image registration workflow
  • Chapter 15
    Quantitative comparison and reproducibility of pathologist scoring and digital image analysis of estrogen receptor β2 immunohistochemistry in prostate cancer
Readership: Students, academics, teachers and other people attending or interested in Quantitative Image.
Juergen Scheins, Institute of Neuroscience and Medicine-4Forschungszentrum, Juelich, Germany.

Artur Klepaczko, Institute of Electronics Lodz, University of Technology, Poland

Munemura Suzuki, Radiology Saga University, Hospital Saga, Japan

Vasanth R. Singan, School of Biology and Environmental Science, Science Centre West University, College Dublin, Dublin4, Ireland

Janina Słodkowska, Department of Pathology Military Institute of Medicine, Warsaw, Poland

Mayss Al-Sheikh, Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, USA

and more...
This Book

334pp. Published January 2018

Scientific Research Publishing, Inc., USA.

Category:Social Sciences & Humanities

ISBN: 978-1-61896-497-7

(Hardcover) USD 109.00

ISBN: 978-1-61896-497-7

(Paperback) USD 89.00

Authors/Editors Price: 40% off
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