Quantitative MRI in Cancer

Thomas E. Yankeelov, David R. Pickens, Ronald R. Price

September 13, 2011 by CRC Press
Reference - 338 Pages - 13 Color & 141 B/W Illustrations
ISBN 9781439820575 - CAT# K11087
Series: Imaging in Medical Diagnosis and Therapy

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  • Shows how MRI is used today for the diagnosis and therapy monitoring of cancer
  • Discusses qualitative and quantitative aspects of the techniques
  • Presents a detailed treatment of the state of the art in tissue characterization using endogenous and exogenous contrast agents
  • Covers image processing in cancer
  • Explores emerging trends in MR characterization, such as radiation therapy planning, molecular and cellular imaging, and hyperpolarized MR


Propelling quantitative MRI techniques from bench to bedside, Quantitative MRI in Cancer presents a range of quantitative MRI methods for assessing tumor biology. It includes biophysical and theoretical explanations of the most relevant MRI techniques as well as examples of these techniques in cancer applications.

The introductory part of the book covers basic cancer biology, theoretical aspects of NMR/MRI physics, and the hardware required to form MR images. Forming the core of the book, the next three parts illustrate how to characterize tissue properties with endogenous and exogenous contrast mechanisms and discuss common image processing techniques relevant for cancer. The final part explores emerging areas of MR cancer characterization, including radiation therapy planning, cellular and molecular imaging, pH imaging, and hyperpolarized MR. Each of the post-introductory chapters describes the salient qualitative and quantitative aspects of the techniques before proceeding to preclinical and clinical applications. Each chapter also contains references for further study.

Leading the way toward more personalized medicine, this text brings together existing and emerging quantitative MRI techniques for assessing cancer. It provides a self-contained overview of the theoretical and experimental essentials and state of the art in cancer MRI.


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