The Architecture of Medical Imaging PDF Download

Author: Bill Rostenberg, FAIA
Publisher:
ISBN:
Category : Architecture
Languages : en
Pages : 472

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Book Description
Serves as a guide to the design of the medical imaging facilities for health care, including radiology, MRI, CT scan, PET scan. This work discusses the complex issues aiming to make it understandable to health care planners, department heads, and executives.

Author: Bill Rostenberg
Publisher: Amer Hospital Pub
ISBN: 9781556481406
Category : Architecture
Languages : en
Pages : 393

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Book Description
Simplifies the design and planning process for both nonmedical and medical professionals, equipping architectural designers with a broad understanding of medical imaging as a basis for framing the questions that must be asked of facility users, and providing a detailed, step- by-step explanation of design and planning activities to assist veteran and newly trained radiologists and health care administrators to work closely with architects. Thoroughly illustrated in bandw. Annotation copyright by Book News, Inc., Portland, OR

Author: Anke Meyer-Baese
Publisher: Elsevier
ISBN: 0124166156
Category : Technology & Engineering
Languages : en
Pages : 466

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Book Description
Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications

Author: Beatriz Colomina
Publisher: Lars Muller Publishers
ISBN:
Category : Architecture
Languages : en
Pages : 208

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Book Description
X-Ray Architecture explores the enormous impact of medical discourse and imaging technologies on the formation, representation and reception of twentieth-century architecture. It challenges the normal understanding of modern architecture by proposing that it was shaped by the dominant medical obsession of its time: tuberculosis and its primary diagnostic tool, the X-ray. Modern architecture and the X-ray were born around the same time and evolved in parallel. While the X-ray exposed the inside of the body to the public eye, the modern building unveiled its interior, dramatically inverting the relationship between private and public. Architects presented their buildings as a kind of medical instrument for protecting and enhancing the body and psyche. Beatriz Colomina traces the psychopathologies of twentieth-century architecture--from the trauma of tuberculosis to more recent disorders such as burn-out syndrome and ADHD--and the huge transformations of privacy and publicity instigated by diagnostic tools from X-Rays to MRIs and beyond. She suggests that if we want to talk about the state of architecture today, we should look to the dominant obsessions with illness and the latest techniques of imaging the body--and ask what effects they have on the way we conceive architecture. --Publisher's website.

Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 373

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Book Description
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Author: Bernard Rubenzer
Publisher: CRC Press
ISBN: 1439891842
Category : Medical
Languages : en
Pages : 200

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Book Description
In the past, for the most part, people who moved into management positions in medical imaging were chosen because they were the best technologists. However, the skill set for technologists and supervisors/managers are vastly different. Even an MBA-educated person may not be ready to take on imaging management. As an example, when buying a very expensive piece of imaging equipment, this person would not necessarily know the right questions to ask, such as: What is my guaranteed uptime? Is technologist training included? Introduction to Medical Imaging Management is a comprehensive reference for medical imaging managers learning through a combination of education and experience. This thorough book provides an in-depth overview of every major facet pertaining to the knowledge and skills necessary to become a department or imaging center supervisor or manager. The text follows a natural progression from transitioning into a management position and dealing with former peers through the most sophisticated skills uniquely applicable to medical imaging management. Covering all aspects of the profession—operations, human resources, finance, and marketing—this reference is a must-have for any potential, new, or less experienced imaging manager.

Author: Andreas Maier
Publisher: Springer
ISBN: 3319965204
Category : Computers
Languages : en
Pages : 263

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Book Description
This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography.

Author: Saxena, Sanjay
Publisher: IGI Global
ISBN: 1799850722
Category : Medical
Languages : en
Pages : 274

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Book Description
Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

Author: Guorong Wu
Publisher: Academic Press
ISBN: 0128041145
Category : Technology & Engineering
Languages : en
Pages : 512

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Book Description
Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics Features self-contained chapters with a thorough literature review Assesses the development of future machine learning techniques and the further application of existing techniques

Author: Suzuki, Kenji
Publisher: IGI Global
ISBN: 1466600608
Category : Computers
Languages : en
Pages : 525

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Book Description
"This book provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images"--Provided by publisher.