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Emission Tomography
PET and SPECT are two of today's most important medical-imaging methods, providing images that reveal subtle information about physiological processes in humans and animals. Emission Tomography: The Fundamentals of PET and SPECT explains the physics and engineering principles of these important functional-imaging methods. The technology of emission tomography is covered in detail, including historical origins, scientific and mathematical foundations, imaging systems and their components, image reconstruction and analysis, simulation techniques, and clinical and laboratory applications. The book describes the state of the art of emission tomography, including all facets of conventional SPECT ...
Advanced X-ray Detector Technologies
This book offers readers an overview of some of the most recent advances in the field of detectors for X-ray imaging. Coverage includes both technology and applications, with an in-depth review of the research topics from leading specialists in the field. Emphasis is on high-Z materials like CdTe, CZT and perovskites, since they offer the best implementation possibilities for direct conversion X-ray detectors. Authors discuss material challenges, detector operation physics and technology and readout integrated circuits required to detect signals processes by high-Z sensors.
Deep Network Design for Medical Image Computing
Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems. - Explains design principles of deep learning techniques for MIC - Contains cutting-edge deep learning research on MIC - Covers a broad range of MIC tasks, including the classification, detection, segmentation, registration, reconstruction and synthesis of medical images
Black Transhuman Liberation Theology
Mediating Black religious studies, spirituality studies, and liberation theology, Philip Butler explores what might happen if Black people in the United States merged technology and spirituality in their fight towards materializing liberating realities. The discussions shaping what it means for humans to exist with technology and as part of technology are already underway: transhumanism suggests that any use of technology to augment intellectual, psychological, or physical capability makes one transhuman. In an attempt to encourage Black people in the United States to become technological progenitors as a spiritual act, Butler asks whether anyone has ever been 'just' human? Butler then explores the implications of this question and its link to viewing the body as technology. Re-imagining incarnation as a relationship between vitality, biochemistry, and genetics, the book also takes a critical scientific approach to understanding the biological embodiment of Black spiritual practices. It shows how current and emerging technologies might align with the generative biological states of Black spiritualities in order to concretely disrupt and dismantle oppressive societal structures.
University of Michigan Official Publication
Each number is the catalogue of a specific school or college of the University.
