Information Processing in Medical Imaging, James C. Gee; Sarang Joshi; Kilian M. Pohl; Willia

Автор: Johnston, James Fauber, Terri L.
Название: Essentials of Radiographic Physics and Imaging
ISBN: 0323339662 ISBN-13(EAN): 9780323339667
Издательство: Elsevier Science
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Цена: 15915.00 р.
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Описание:

Written by radiographers for radiographers, Essentials of Radiographic Physics and Imaging, 2^nd Edition follows the ASRT recommended curriculum and focuses on what the radiographer needs to understand to safely and competently perform radiographic examinations. This comprehensive radiologic physics and imaging text links the two subjects together so that you understand how they relate to each other - and to clinical practice. Prepare for success on the ARRT exam and the job with just the right amount of information on radiation production and characteristics, imaging equipment, film screen image acquisition and processing, digital image acquisition and display, image analysis, and the basic principles of computed tomography.

• 345 photos and line drawings encourage you to visualize important concepts.
• Strong pedagogy, including chapter objectives, key terms, outlines, bulleted chapter summaries, and specialty boxes, help you organize information and focus on what is most important in each chapter.
• Make the Physics Connection and Make the Imaging Connection boxes link physics and imaging concepts so you fully appreciate the importance of both subjects.
• Educator resources on Evolve, including lesson plans, an image collection, PowerPoint presentations, and a test bank, provide additional resources for instructors to teach the topics presented in the text.
• Theory to Practice boxes succinctly explain the application of concepts and describe how to use the information in clinical practice.
• Critical Concept boxes further explain and emphasize key points in the chapters.
• Math Application boxes use examples to show how mathematical concepts and formulas are applied in the clinical setting.
• An emphasis on the practical information highlights just what you need to know to ace the ARRT exam and become a competent practitioner.
• Numerous critique exercises teach you how to evaluate the quality of radiographic images and determine which factors produce poor images.
• A glossary of key terms serves as a handy reference.

• NEW Updated content reflects the newest curriculum standards outlined by the ARRT and ASRT, providing you with the information you need to pass the boards.
• NEW Critical Thinking Questions at the end of every chapter offer opportunity for review and greater challenge.
• NEW Chapter Review Questions at the end of every chapter allow you to evaluate how well you have mastered the material in each chapter.
• NEW Increased coverage of radiation protection principles helps you understand the ethical obligations to minimize radiation dosages, shielding, time and distance, how to limit the field of exposure and what that does to minimize dose, and technical factors and how they represent the quantity and quality of radiation.
• NEW Conversion examples and sample math problems give you the practice needed to understand complex concepts.
• NEW More images highlighting key concepts help you visualize the material.
• NEW Expansion of digital image coverage and ample discussion on differentiating between digital and film ensures you are prepared to succeed on your exams.
• NEW All-new section on manual vs. AEC use in Chapter 13 keeps you in the know.
• NEW and UPDATED Expanded digital fluoroscopy section, including up-to-date information on LCD and Plasma displays, familiarizes you with the equipment you will encounter.
• NEW Online chapter quizzes on Evolve feature 5-10 questions each and reinforce key concepts.
• NEW PowerPoint presentations with new lecture notes on Evolve and in-depth information in the notes section of ea

Автор: Jerry L. Prince; Dzung L. Pham; Kyle J. Myers
Название: Information Processing in Medical Imaging
ISBN: 3642024971 ISBN-13(EAN): 9783642024979
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book constitutes the refeered proceedings of the 21st International Conference on Information Processing in Medical Imaging, IPMI 2009, held in Williamsburg, VA, USA, in July 2009 The 26 revised full papers and 33 revised poster papers presented were carefully reviewed and selected from 150 submissions.

Автор: C.N. De Graaff; M.A. Viergever
Название: Information Processing in Medical Imaging
ISBN: 1461572657 ISBN-13(EAN): 9781461572657
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book summarizes the proceedings of the 10th international conference on Infonnation Pro- cessing in Medical Imaging (IPMI-lO), held in June, 1987, in Zeist, The Netherlands.

Автор: Marc Niethammer; Martin Styner; Stephen Aylward; H
Название: Information Processing in Medical Imaging
ISBN: 3319590499 ISBN-13(EAN): 9783319590493
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the proceedings of the 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, held at the Appalachian State University, Boon, NC, USA, in June 2017. diffusion imaging; quantitative imaging; imaging genomics; image registration; general image analysis.

Автор: Sebastien Ourselin; Daniel C. Alexander; Carl-Fred
Название: Information Processing in Medical Imaging
ISBN: 3319199919 ISBN-13(EAN): 9783319199917
Издательство: Springer
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Цена: 12298.00 р.
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Описание: Probabilistic Graphical Models.- Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach.- Template-Based Multimodal Joint Generative Model of Brain Data.- Generative Method to Discover Genetically Driven Image Biomarkers.- MRI Reconstruction A Joint Acquisition-Estimation Framework for MR Phase Imaging.- A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI.- Accelerated High Spatial Resolution Diffusion-Weighted Imaging.- Clustering.- Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI.- Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling.- Statistical Methods.- Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations.- Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps.- Longitudinal Analysis.- Group Testing for Longitudinal Data.- Spatio-Temporal Signatures to Predict Retinal Disease Recurrence.- Microstructure Imaging.- A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI.- Ground Truth for Diffusion MRI in Cancer: A Model-Based Investigation of a Novel Tissue-Mimetic Material.- Shape Analysis.- Anisotropic Distributions on Manifolds: Template Estimation and Most Probable Paths.- A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes.- Multi-atlas Fusion Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data.- Keypoint Transfer Segmentation.- Fast Image Registration.- Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration.- Fast Optimal Transport Averaging of Neuroimaging Data.- Deformation Models.- Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms.- A Robust Probabilistic Model for Motion Layer Separation in X-ray Fluoroscopy.- Poster Papers.- Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images.- Multiresolution Diffeomorphic Mapping for Cortical Surfaces.- A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos.- A Feature-Based Approach to Big Data Analysis of Medical Images.- Joint Segmentation and Registration Through the Duality of Congealing and Maximum Likelihood Estimate.- Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.- Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k, q)-Space.- Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.- Measuring Asymmetric Interactions in Resting State Brain Networks.- Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.- Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging.- Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.- Bodypart Recognition Using Multi-stage Deep Learning.- Multi-subject Manifold Alignment of Functional Network Structures via Joint Diagonalization.- Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps.- Finding a Path for Segmentation Through Sequential Learning.- Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion.- IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI.- Moving Frames for Heart Fiber Reconstruction.- Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors.- Automatic Detection of the Uterus and Fallopian Tube Junctions in Laparoscopic Images.- A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data.- Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based L

Автор: Alan C.F. Colchester; David J. Hawkes
Название: Information Processing in Medical Imaging
ISBN: 3540542469 ISBN-13(EAN): 9783540542469
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This volume presents the proceedings of IPMI `91, with sections on image formation and reconstruction, priors in tomographic reconstruction, multi-modal registration, segmentation, anatomical models, factor analysis, rule based systems and learning, image quality and interaction.

Автор: James Duncan; Gene Gindi
Название: Information Processing in Medical Imaging
ISBN: 3540630465 ISBN-13(EAN): 9783540630463
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This text presents the proceedings of the 15th International Conference on Information Processing in Medical Imaging. Divided into sections it includes: shape models; novel imaging methods; segmentation; image quality and statistical character of measured data; and MR analysis and processing.