Imaging in Advertising


Book Description

The dominance of advertising in everyday life carries potent cultural meaning. As a major force in the rise of "image based culture," advertising spreads images that shape how people live their lives. While scholarship on visual images has advanced our understanding of the role of advertising in society, for example in revealing how images of extremely thin female models and athletic heroes shape ideals and aspirations, images circulated through lagnuage codes--or "verbal images"--in advertising have received less attention. Imaging in Advertising explores how the verbal and visual work together to build a discourse of advertising that speaks to audiences and has the power to move them to particular thoughts and actions. In this book, Fern L. Johnson presents a series of case studies exploring important advertising images--racial connotations in cigarette advertising, representations of cultural diversity in teen television commercials, metaphors of the face appearing in ads for skin care products, language borrowed from technology to sell non-technology products, and the illusion of personal choice that is promoted in many Internet web sites. Johnson argues that examining the interplay of verbal and visual images as a structured whole exposes the invase role of advertising in shaping culture in 21st century America.




Visual Persuasion


Book Description

For upper-level undergraduate students and graduate students in communication and media studies




Measuring Up


Book Description

The mute gestures of advertising images are frozen for posterity by photographers and illustrators, gestures that, for better or worse, perpetuate a certain aesthetic and eventually become emblematic of a period. The images of today display the values of a society that has more interest in the body than the mind. They are technoenhanced labyrinths of unattainable appearances that leave women and men feeling horrified, estranged, and restricted by unrealistic, silent mandates. Measuring Up looks at advertising as more than just a way to extract money from unsuspecting people but as a vehicle for conveying the larger views of a confining, body-obsessed culture. By weaving theoretical and textual insights from feminist and cultural studies with the voices of real women and men, Measuring Up offers a unique reception analysis of the effects of repetitious exposure to advertisements of perfect bodies in our everyday lives. Shields examines a particular, complex relationship between the idealized images of gender we see in advertising and our own thoughts, feelings, and behavior in relation to these images. The study is unique in presenting audience reception in terms of ethnographic data, not textual interpretations alone. Measuring Up engages with and informs current theoretical debates within these sometimes complementary and sometimes contradictory literatures: feminist media studies, feminist film theory, critical social theory, cultural studies, and critical ethnography. This is an important work that explores the forms and channels of power used in one of the most insidious and overt means of mass influence in popular culture.




Image Makers


Book Description

Talking dogs pitching ethnic food. Heart-tugging appeals for contributions. Recruitment calls for enlistment in the military. Tub-thumpers excoriating American society with over-the-top rhetoric. At every turn, Americans are exhorted to spend money, join organizations, rally to causes, or express outrage. Image Makers is a comprehensive analysis of modern advocacy-from commercials to public service ads to government propaganda-and its roots in advertising and public relations. Robert Jackall and Janice M. Hirota explore the fashioning of the apparatus of advocacy through the stories of two organizations, the Committee on Public Information, which sold the Great War to the American public, and the Advertising Council, which since the Second World War has been the main coordinator of public service advertising. They then turn to the career of William Bernbach, the adman's adman, who reinvented advertising and grappled creatively with the profound skepticism of a propaganda-weary midcentury public. Jackall and Hirota argue that the tools-in-trade and habits of mind of "image makers" have now migrated into every corner of modern society. Advocacy is now a vocation for many, and American society abounds as well with "technicians in moral outrage," including street-smart impresarios, feminist preachers, and bombastic talk-radio hosts. The apparatus and ethos of advocacy give rise to endlessly shifting patterns of conflicting representations and claims, and in their midst Image Makers offers a clear and spirited understanding of advocacy in contemporary society and the quandaries it generates.




Marketing and Semiotics


Book Description




Diffusion MRI


Book Description

Diffusion MRI remains the most comprehensive reference for understanding this rapidly evolving and powerful technology and is an essential handbook for designing, analyzing, and interpreting diffusion MR experiments. Diffusion imaging provides a unique window on human brain anatomy. This non-invasive technique continues to grow in popularity as a way to study brain pathways that could never before be investigated in vivo. This book covers the fundamental theory of diffusion imaging, discusses its most promising applications to basic and clinical neuroscience, and introduces cutting-edge methodological developments that will shape the field in coming years. Written by leading experts in the field, it places the exciting new results emerging from diffusion imaging in the context of classical anatomical techniques to show where diffusion studies might offer unique insights and where potential limitations lie. - Fully revised and updated edition of the first comprehensive reference on a powerful technique in brain imaging - Covers all aspects of a diffusion MRI study from acquisition through analysis to interpretation, and from fundamental theory to cutting-edge developments - New chapters covering connectomics, advanced diffusion acquisition, artifact removal, and applications to the neonatal brain - Provides practical advice on running an experiment - Includes discussion of applications in psychiatry, neurology, neurosurgery, and basic neuroscience - Full color throughout




Machine Learning and Medical Imaging


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




Medical Imaging Systems


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.




Handbook of Medical Imaging


Book Description

In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging. The Handbook of Medical Imaging is the first comprehensive compilation of the concepts and techniques used to analyze and manipulate medical images after they have been generated or digitized. The Handbook is organized in six sections that relate to the main functions needed for processing: enhancement, segmentation, quantification, registration, visualization as well as compression storage and telemedicine. * Internationally renowned authors(Johns Hopkins, Harvard, UCLA, Yale, Columbia, UCSF) * Includes imaging and visualization * Contains over 60 pages of stunning, four-color images




Medical Image Analysis


Book Description

Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. - An authoritative presentation of key concepts and methods from experts in the field - Sections clearly explaining key methodological principles within relevant medical applications - Self-contained chapters enable the text to be used on courses with differing structures - A representative selection of modern topics and techniques in medical image computing - Focus on medical image computing as an enabling technology to tackle unmet clinical needs - Presentation of traditional and machine learning approaches to medical image computing