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Spie Press Book

Handbook of Medical Imaging, Volume 2. Medical Image Processing and Analysis
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Book Description

Volume 2 addresses the methods in use or in development for enhancing the visual perception of digital medical images obtained by a wide variety of imaging modalities and for image analysis as an aid to detection and diagnosis.

Softcover version of PM80.

Book Details

Date Published: 14 June 2000
Pages: 1250
ISBN: 9780819477606
Volume: PM80

Table of Contents
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1. Statistical Image Reconstruction Methods Jeffrey A. Fessler

2. Image Segmentation Benoit M. Dawant, Alex P. Zijdenbos

3. Image Segmentation Using Deformable Models Chenyang Xu, Dzung L. Pham, Jerry L. Prince

4. Morphological Methods for Biomedical Image Analysis John Goutsias, Sinan Batman

5. Feature Extraction Murray H. Loew

6. Extracting Surface Models of the Anatomy from Medical Images Andr� e Gu� eziec

7. Medical Image Interpretation Matthew S. Brown, Michael F. McNitt-Gray

8. Image Registration J. Michael Fitzpatrick, Derek L. G. Hill, Calvin R. Maurer, Jr.

9. Signal Modeling for Tissue Characterization Michael F. Insana, Kyle J. Myers, Laurence W. Grossman

10. Validation of Medical Image Analysis Techniques Kevin W. Bowyer

11. Echocardiography Florence Sheehan, David C. Wilson, David Shavelle, Edward A. Geiser

12. Cardiac Image Analysis: Motion and Deformation Xenophon Papademetris, James S. Duncan

13. Angiography and Intravascular Ultrasound Johan H. C. Reiber, Gerhard Koning, Jouke Dijkstra, Andreas Wahle, Bob Goedhart, Florence H. Sheehan, Milan Sonka

14. Vascular Imaging and Analysis Milan Sonka, Weidong Liang, Robert M. Stefancik, Alan Stolpen

15. Computer-Aided Diagnosis in Mammography Maryellen L. Giger, Zhimin Huo, Matthew A. Kupinski, Carl J. Vyborny

16. Pulmonary Imaging and Analysis Joseph M. Reinhardt, Renuka Uppaluri, William E. Higgins, Eric A. Hoffman

17. Brain Image Analysis and Atlas Construction Paul M. Thompson, Michael S. Mega, Katherine L. Narr, Elizabeth R. Sowell, Rebecca E. Blanton, Arthur W. Toga

18. Tumor Imaging, Analysis, and Treatment Planning Michael W. Vannier

19. Soft Tissue Analysis via Finite Element Modeling Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar



During the last few decades of the twentieth century, partly in concert with the increasing availability of relatively inexpensive computational resources, medical imaging technology, which had for nearly 80 years been almost exclusively concerned with conventional film/screen x-ray imaging, experienced the development and commercialization of a plethora of new imaging technologies. Computed tomography, MRI imaging, digital subtraction angiography, Doppler ultrasound imaging, various imaging techniques based on nuclear emission (PET, SPECT, etc.) have all been valuable additions to the radiologist's arsenal of imaging tools toward ever more reliable detection and diagnosis of disease. More recently, conventional x-ray imaging technology itself is being challenged by the emerging possibilities offered by flat panel x-ray detectors. In addition to the concurrent development of rapid and relatively inexpensive computational resources, this era of rapid change owes much of its success to an improved understanding of the information theoretic principles on which the development and maturation of these new technologies is based. A further important corollary of these developments in medical imaging technology has been the relatively rapid development and deployment of methods for archiving and transmitting digital images. Much of this engineering development continues to make use of the ongoing revolution in rapid communications technology offered by increasing bandwidth. A little more than 100 years after the discovery of x-rays, this three-volume Handbook of Medical Imaging is intended to provide a comprehensive overview of the theory and current practice of Medical Imaging as we enter the 21st century. Volume I, which concerns the physics and the psychophysics of medical imaging, begins with a fundamental description of x-ray imaging physics and progresses to a review of linear systems theory and its application to an understanding of signal and noise propagation in such systems. The subsequent chapters concern the physics of the important individual imaging modalities currently in use: ultrasound, CT, MRI, the recently emerging technology of flat panel x-ray detectors and, in particular, their application to mammography. The second half of this volume, on psychophysics, describes the current understanding of the relationship between image quality metrics and visual perception of the diagnostic information carried by medical images. In addition, various models of perception in the presence of noise or "unwanted" signal are described. Lastly, the statistical methods used in determining the efficacy of medical imaging tasks, ROC analysis and its variants, are discussed. Volume II, which concerns Medical Image Processing and Image Analysis, provides descriptions of the methods currently being used or being developed for enhancing the visual perception of digital medical images obtained by a wide variety of imaging modalities and for image analysis as a possible aid to detection and diagnosis. Image analysis may be of particular significance in future developments, since, aside from the inherent efficiencies of digital imaging, the possibility of performing analytic computation on digital information offers exciting prospects for improved detection and diagnostic accuracy. Lastly, Volume III, describes the concurrent engineering developments which or in some instances have actually enabled further developments in digital diagnostic imaging. Among the latter, the ongoing development of bright, high resolution monitors for viewing high resolution digital radiographs, particularly for mammography, stands out. Other efforts, in this field offer exciting, previously inconceivable possibilities, e.g., the use of 3D (virtual reality) visualization for surgical planning and for image guided surgery. Another important area of ongoing research in this field involves image compression, which in concert with increasing bandwidth, enables rapid image communication and increases storage efficiency. The latter will be particularly important with the expected increase in the acceptance of digital radiography as a replacement for conventional film/screen imaging, which is expected to generate data volumes far in excess of currently available capacity. The second half of this volume describes current developments in Picture Archiving and Communications (PACS) technology, with particular emphasis on integration of the new and emerging imaging technologies into the hospital environment and the provision of means for rapid retrieval and transmission of imaging data. Developments in rapid transmission are of particular importance since they will enable access via telemedicine to remote or underdeveloped areas. As evidenced by the variety of the research described in these volumes, medical imaging is still undergoing very rapid change. The editors hope that this publication will provide at least some of the information by means of which students, researchers and practitioners in this exciting field are aided in contributing to it ever increasing usefulness.

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