Alternative Breast Imaging

Four Model-Based Approaches

  • Keith D. Paulsen
  • Paul M. Meaney
  • Larry C. Gilman

Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 778)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Steven Poplack, Wendy Wells, Keith Paulsen
    Pages 1-24
  3. Paul M. Meaney, Keith Paulsen
    Pages 25-47
  4. Elijah E. W. Van Houten, Marvin Doyley
    Pages 49-67
  5. Hamid Dehghani, Nirmal K. Soni
    Pages 85-105
  6. Alex Hartov, Ryan J. Halter, Todd E. Kerner
    Pages 107-126
  7. Paul M. Meaney, Qianqian Fang
    Pages 127-153
  8. Paul M. Meaney, Dun Li
    Pages 155-181
  9. Hamid Dehghani, Brian Pogue
    Pages 183-199
  10. Brian Pogue, Shudong Jiang, Hamid Dehghani, Keith D. Paulsen
    Pages 201-226
  11. Back Matter
    Pages 245-253

About this book

Introduction

Medical imaging has been transformed over the past 30 years by the advent of computerized tomography (CT), magnetic resonance imaging (MRI), and various advances in x-ray and ultrasonic techniques. An enabling force behind this progress has been the (so far) exponentially increasing power of computers, which has made it practical to explore fundamentally new approaches. In particular, what our group terms "model-based" modalities-which produce tissue property images from data using nonlinear, iterative numerical modeling techniques-have become increasingly feasible.

Alternative Breast Imaging: Four Model-Based Approaches explores our research on four such modalities, particularly with regard to imaging of the breast: (1) MR elastography (MRE), (2) electrical impedance spectroscopy (EIS), (3) microwave imaging spectroscopy (MIS), and (4) near infrared spectroscopic imaging (NIS). Chapter 1 introduces the present state of breast imaging and discusses how our alternative modalities can contribute to the field. Chapter 2 looks at the computational common ground shared by all four modalities. Chapters 2 through 10 are devoted to the four modalities, with each modality being discussed first in a theory chapter and then in an implementation-and-results chapter. The eleventh and final chapter discusses statistical methods for image analysis in the context of these four alternative imaging modalities.

Imaging for the detection of breast cancer is a particularly interesting and relevant application of the four imaging modalities discussed in this book. Breast cancer is an extremely common health problem for women; the National Cancer Institute estimates that one in eight US women will develop breast cancer at least once in her lifetime. Yet the efficacy of the standard (and notoriously uncomfortable) early-detection test, the x-ray mammogram, has been disputed of late, especially for younger women. Conditions are thus ripe for the development of affordable techniques that replace or complement mammography. The breast is both anatomically accessible and small enough that the computing power required to model it, is affordable.

Alternative Breast Imaging: Four Model-Based Approaches is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science, electrical engineering and biomedical imaging.

Keywords

computed tomography (CT) image analysis magnetic resonance imaging (MRI) modeling performance tissue

Authors and affiliations

  • Keith D. Paulsen
    • 1
  • Paul M. Meaney
    • 1
  • Larry C. Gilman
    • 1
  1. 1.Thayer School of EngineeringDartmouth CollegeHanoverUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b101336
  • Copyright Information Springer Science + Business Media, Inc. 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-23363-5
  • Online ISBN 978-0-387-23364-2
  • Series Print ISSN 0893-3405
  • About this book