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Book Development of Breast MRI Computer aided Diagnosis System

Download or read book Development of Breast MRI Computer aided Diagnosis System written by Ke Nie and published by . This book was released on 2009 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this dissertation is to develop analysis techniques to improve the management of breast diseases using 3D MRI. With nearly 20 years of research, breast MRI has finally evolved from a research tool to an important clinical screening modality. Considering the overwhelming 3D information, there is a critical need to develop computer-aided diagnosis (CAD) technology to fully utilize the wealth of imaging information. However, there is very limited work in developing "a true CAD" in either commercial products or in the literature. To respond to this need, the first part of the dissertation described the development of a CAD system that is capable of providing intelligent diagnostic impression. Automated computer algorithms were implemented to simulate the entire procedure of radiologists' interpretation from lesion detection to final classification. The second part of the dissertation described mathematical simulation models to understand the impact of environmental constraints on the tumor growth. Previous published models included only functional information, few of them considered the effect of environmental structure. As such, those models were only good for simulating in-vitro growth, and could not be correlated with in vivo phenotypes. A specific model was developed to simulate the growth of cancer in the milk duct by considering the constraint from the ductal membrane. The result was further correlated with the lesion phenotype shown on MRI. Understanding these biological growth patterns may aid in a better diagnosis, and prediction of the presence of invasive component in DCIS. The third part of the dissertation described the analysis of breast tissue environment (commonly referred as "breast density). A computer-based algorithm was developed to segment the fibroglandular tissue and to analyze the morphological distribution of adipose and dense tissue in addition to the mount of dense tissue. A consensus has been reached by the Breast Cancer Prevention Collaborative Group (BCPCG) to incorporate quantitative breast density into cancer risk prediction models. The methods presented here can be used to evaluate the role of the MRI density for risk prediction or as a surrogate marker predicting the effect of hormone related therapies.

Book Development of Computer aided Diagnostic System for Breast MRI Lesion Classification

Download or read book Development of Computer aided Diagnostic System for Breast MRI Lesion Classification written by Lina Arbash Meinel and published by . This book was released on 2005 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: The MRMC analysis showed that the human reader performance with and without CAD system assistance can be generalized over the population of cases and still maintain a statistically significant improvement (F(1, 74) = 6.805, p = 0.0110

Book Computer Aided Detection and Diagnosis in Medical Imaging

Download or read book Computer Aided Detection and Diagnosis in Medical Imaging written by Qiang Li and published by Taylor & Francis. This book was released on 2015-03-17 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve the Accurate Detection and Diagnosis of Cancer and Other DiseasesDespite the expansion of the CAD field in recent decades, there is currently no single book dedicated to the development and use of CAD systems. Filling this need, Computer-Aided Detection and Diagnosis in Medical Imaging covers the major technical advances and methodologies s

Book Recent Advances in Breast Imaging  Mammography  and Computer aided Diagnosis of Breast Cancer

Download or read book Recent Advances in Breast Imaging Mammography and Computer aided Diagnosis of Breast Cancer written by Jasjit S. Suri and published by CCH. This book was released on 2006 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast cancer is the most common type of cancer found in women worldwide; approximately 10 per cent of women are confronted with breast cancer in their lives. Breast cancer can be most efficiently treated if detected at an early stage. This book focuses primarily on the application of computer vision for early lesion identification in mammograms and breast-imaging volumes through computer-aided diagnostics (CAD). Colour illustrations are included in the text, and an accompanying CD-ROM contains other full-colour images.

Book Mammography and Beyond

    Book Details:
  • Author : National Research Council
  • Publisher : National Academies Press
  • Release : 2001-07-23
  • ISBN : 0309171318
  • Pages : 311 pages

Download or read book Mammography and Beyond written by National Research Council and published by National Academies Press. This book was released on 2001-07-23 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each year more than 180,000 new cases of breast cancer are diagnosed in women in the U.S. If cancer is detected when small and local, treatment options are less dangerous, intrusive, and costly-and more likely to lead to a cure. Yet those simple facts belie the complexity of developing and disseminating acceptable techniques for breast cancer diagnosis. Even the most exciting new technologies remain clouded with uncertainty. Mammography and Beyond provides a comprehensive and up-to-date perspective on the state of breast cancer screening and diagnosis and recommends steps for developing the most reliable breast cancer detection methods possible. This book reviews the dramatic expansion of breast cancer awareness and screening, examining the capabilities and limitations of current and emerging technologies for breast cancer detection and their effectiveness at actually reducing deaths. The committee discusses issues including national policy toward breast cancer detection, roles of public and private agencies, problems in determining the success of a technique, availability of detection methods to specific populations of women, women's experience during the detection process, cost-benefit analyses, and more. Examining current practices and specifying research and other needs, Mammography and Beyond will be an indispensable resource to policy makers, public health officials, medical practitioners, researchers, women's health advocates, and concerned women and their families.

Book Contrast Enhanced Mammography

Download or read book Contrast Enhanced Mammography written by Marc Lobbes and published by Springer. This book was released on 2019-04-29 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide to contrast-enhanced mammography (CEM), a novel advanced mammography technique using dual-energy mammography in combination with intravenous contrast administration in order to increase the diagnostic performance of digital mammography. Readers will find helpful information on the principles of CEM and indications for the technique. Detailed attention is devoted to image interpretation, with presentation of case examples and highlighting of pitfalls and artifacts. Other topics to be addressed include the establishment of a CEM program, the comparative merits of CEM and MRI, and the roles of CEM in screening populations and monitoring of response to neoadjuvant chemotherapy. CEM became commercially available in 2011 and is increasingly being used in clinical practice owing to its superiority over full-field digital mammography. This book will be an ideal source of knowledge and guidance for all who wish to start using the technique or to learn more about it.

Book Medical Image Analysis and Informatics

Download or read book Medical Image Analysis and Informatics written by Paulo Mazzoncini de Azevedo-Marques and published by CRC Press. This book was released on 2017-11-23 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.

Book Digital Mammography

    Book Details:
  • Author : Nico Karssemeijer
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 9401153183
  • Pages : 520 pages

Download or read book Digital Mammography written by Nico Karssemeijer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: In June 1998 the Fourth International Workshop on Digital Mammography was held in Nijmegen, The Netherlands, where it was hosted by the department of Radiology of the University Hospital Nijmegen. This series of meetings was initiated at the 1993 SPIE Biomedical Image Processing Conference in San Jose, USA, where a number of sessions were entirely devoted to mammographic image analysis. At very successful subsequent workshops held in York, UK (1994) and Chicago, USA (1996), the scope of the conference was broadened, establishing a platform for presentation and discussion of new developments in digital mammog raphy. Topics that are addressed at these meetings are computer-aided diagnosis, image processing, detector development, system design, observer performance and clinical evaluation. The goal is to bring researchers from universities, breast cancer experts, and engineers together, to exchange information and present new scientific developments in this rapidly evolving field. This book contains all the scientific papers and posters presented at the work shop in Nijmegen. Contributions came from as many as 20 different countries and 190 participants attended the meeting. At a technical exhibit companies demon strated new products and work in progress. Abstracts of all papers were reviewed by members of the scientific committee. Many of the accepted papers had excellent quality, but due to limited space not all of them could be included as full papers in these proceedings. Papers that were rated high by the reviewers are included as long or short papers, others appear as extended abstracts in the last chapter.

Book Developing Technologies for Early Detection of Breast Cancer

Download or read book Developing Technologies for Early Detection of Breast Cancer written by National Research Council and published by National Academies Press. This book was released on 2000-08-06 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: In November 1999, the Institute of Medicine, in consultation with the Commission on Life Sciences, the Commission on Physical Sciences, Mathematics, and Applications, and the Board on Science, Technology and Economic Policy launched a one year study on technologies for early detection of breast cancer. The committee was asked to examine technologies under development for early breast cancer detection, and to scrutinize the process of medical technology development, adoption, and dissemination. The committee is gathering information on these topics for its report in a number of ways, including two public workshops that bring in outside expertise. The first workshop on "Developing Technologies for Early Breast Cancer Detection" was held in Washington DC in February 2000. The content of the presentations at the workshop is summarized here. A second workshop, which will focus on the process of technology development and adoption, will be held in Washington, DC on June 19-20. A formal report on these topics, including conclusions and recommendations, will be prepared by the committee upon completion of the one-year study.

Book Pattern Recognition Applied to the Computer aided Detection and Diagnosis of Breast Cancer from Dynamic Contrast enhanced Magnetic Resonance Breast Images

Download or read book Pattern Recognition Applied to the Computer aided Detection and Diagnosis of Breast Cancer from Dynamic Contrast enhanced Magnetic Resonance Breast Images written by Jacob Levman and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this research is to improve the breast cancer screening process based on magnetic resonance imaging (MRI). In a typical MRI breast examination, a radiologist is responsible for visually examining the MR images acquired during the examination and identifying suspect tissues for biopsy. It is known that if multiple radiologists independently analyze the same examinations and we biopsy any lesion that any of our radiologists flagged as suspicious then the overall screening process becomes more sensitive but less specific. Unfortunately cost factors prohibit the use of multiple radiologists for the screening of every breast MR examination. It is thought that instead of having a second expert human radiologist to examine each set of images, that the act of second reading of the examination can be performed by a computer-aided detection and diagnosis system. The research presented in this thesis is focused on the development of a computer-aided detection and diagnosis system for breast cancer screening from dynamic contrast-enhanced magnetic resonance imaging examinations. This thesis presents new computational techniques in supervised learning, unsupervised learning and classifier visualization. The techniques have been applied to breast MR lesion data and have been shown to outperform existing methods yielding a computer aided detection and diagnosis system with a sensitivity of 89% and a specificity of 70%.

Book Physics of Mammographic Imaging

Download or read book Physics of Mammographic Imaging written by Mia K. Markey and published by CRC Press. This book was released on 2012-11-09 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the increasing number of digital mammograms and the advent of new kinds of three-dimensional x-ray and other forms of medical imaging, mammography is undergoing a dramatic change. To meet their responsibilities, medical physicists must constantly renew their knowledge of advances in medical imaging or radiation therapy, and must be prepared to function at the intersection of these two fields. Physics of Mammographic Imaging gives an overview on the current role and future potential of new alternatives to mammography in the context of clinical need, complementary approaches, and ongoing research. This book provides comprehensive coverage on the fundamentals of image formation, image interpretation, analysis, and modeling. It discusses the use of mammographic imaging in the detection, diagnosis, treatment planning, and monitoring of breast cancer. Expert authors give a balanced summary of core topics such as digital mammography, contrast-enhanced mammography, stereomammography, breast tomosynthesis, and breast CT. The book highlights the use of mammographic imaging with complementary breast imaging modalities such as ultrasound, MRI, and nuclear medicine techniques. It discusses critical issues such as computer-aided diagnosis, perception, and quality assurance. This is an exciting time in the development of medical imaging, with many new technologies poised to make a substantial impact on breast cancer care. This book will help researchers and students get up to speed on crucial developments and contribute to future advances in the field.

Book Digital Mammography  Development of an Advanced Computer Aided Diagnosis System for Breast Cancer Detection

Download or read book Digital Mammography Development of an Advanced Computer Aided Diagnosis System for Breast Cancer Detection written by and published by . This book was released on 2005 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the project is to develop computer-aided diagnosis (CAD) methods and systems for mammography using advanced computer vision techniques and image information fusion from multiple mammograms to improve lesion detection and characterization. When tally developed, the CAD system can assist radiologists in mammographic interpretation. During this project year, we have performed the following tasks: (1) collected databases of digital mammograms (DMs) and digitized film mammograms (DFMs) for development of the CAD systems, (2) developed computer vision techniques and a prototype CAD system for detection of microcalcifications on DMs, (3) developed computer vision techniques and a prototype CAD system for detection of masses on DFMs and DMs, (4) explored the feasibility of improving mass detection by CAD on digital breast tomosynthesis mammograms, (5) developed automated pectoral muscle detection method for preprocessing of MLO view mammograms for multiple image analysis, (6) developed a prototype CAD method for classification of malignant and benign masses by fusion of information from mammograms and ultrasound images and investigated the effects of the multi-modality CAD system on radiologists performance. In summary, we have investigated a number of areas in CAD of mammographic lesions and evaluated the new techniques for both DMs and DFMs. We have made progress in the six tasks proposed in the project. We have found that our new computer-vision techniques and two-view information fusion approach can improve the performance of the CAD systems. We will continue the development of the CAD systems for DMs and DFMs in the coming years.

Book Breast MRI for High risk Screening

Download or read book Breast MRI for High risk Screening written by Francesco Sardanelli and published by Springer Nature. This book was released on 2020-10-13 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive overview of the use of breast MRI for screening high-risk women, including those with familial-genetic hereditary predisposition and previous chest radiation therapy, typically lymphoma survivors. It discusses the historical background of studies and research that provided the body of evidence in favor of MRI screening of these women. Technical and clinical topics are treated in dedicated chapters, including models for individualized risk estimation, radiogenomics of breast cancer in high-risk women, computer-aided detection/diagnosis and machine learning systems applied to breast MRI, and psycho-oncology issues. Alternatives to breast MRI screening such as pharmaco-prevention and prophylactic mastectomy are also discussed, taking into account the public debate on the “Angelina Jolie” effect. The high breast cancer risk model is proposed as a paradigm for personalized medicine. This book will be of interest to radiologists, surgeons, oncologists and to all professionals devoted to female healthcare.

Book Digital Mammography

    Book Details:
  • Author : Heinz-Otto Peitgen
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 3642593275
  • Pages : 603 pages

Download or read book Digital Mammography written by Heinz-Otto Peitgen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the Sixth International Workshop on Digital Mammography held in Bremen, Germany, June 22-25, 2002. The Workshop was a forum for discussing new developments in digital mammography and its applications and included presentations by 135 experts from all over the world. It covers the latest developments in: Imaging Systems and Detectors, Image Quality, Image Processing and Display, Computer Aided Diagnosis, Soft Copy Reading, Clinical Studies of Digital Mammography or Related Modalities, 3D Techniques, Other Applications of Digital Mammography.

Book Development of a Computer aided Diagnosis System for Early Detection of Masses Using Retrospectively Detected Cancers on Prior Mammograms

Download or read book Development of a Computer aided Diagnosis System for Early Detection of Masses Using Retrospectively Detected Cancers on Prior Mammograms written by and published by . This book was released on 2009 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: The performance of a CAD system for subtle lesions is generally much lower than their performance for less subtle lesions. The goal of this project is to develop a CAD system using advanced computer vision techniques aiming at improved detection of retrospectively seen cancers on prior mammograms and incorporate the developed CAD system into our current CAD system. During the project years, we have performed the following tasks: (1) collect the data sets of digitized film mammograms for training and testing our CAD system, (2) develop a series of single-view computer vision techniques for mass detection and classification in prior mammograms, (3) reduce FPs by correlation of image information from multiple view mammograms of the same patient, (4) develop a information fusion scheme to combine the new CAD system with the existing CAD system for mass detection, and (5) evaluate the effects of the newly developed CAD scheme with a large data set. We have found that our new computer-vision techniques can significantly improve the performance of the CAD system for mass detection by JAFROC analysis. The significance of this project is that the newly developed CAD system may be able to aid radiologists in detecting breast cancers at an early stage. Since early detection and treatment can reduce breast cancer mortality rate and health care costs, the proposed CAD system will improve the efficacy of mammography for breast cancer screening.