Tongue Image Analysis, David Zhang; Hongzhi Zhang; Bob Zhang
Автор: David Wilson; Swamy Laxminarayan Название: Handbook of Biomedical Image Analysis ISBN: 1489996494 ISBN-13(EAN): 9781489996497 Издательство: Springer Рейтинг: Цена: 53106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Our goal is to develop automated methods for the segmentation of thr- dimensional biomedical images. Here, we describe the segmentation of c- focal microscopy images of bee brains (20 individuals) by registration to one or several atlas images. Registration is performed by a highly parallel imp- mentation of an entropy-based nonrigid registration algorithm using B-spline transformations. We present and evaluate different methods to solve the cor- spondence problem in atlas based registration. An image can be segmented by registering it to an individual atlas, an average atlas, or multiple atlases. When registering to multiple atlases, combining the individual segmentations into a ?nalsegmentationcanbeachievedbyatlasselection,ormulticlassi?erdecision fusion. Wedescribeallthesemethodsandevaluatethesegmentationaccuracies that they achieve by performing experiments with electronic phantoms as well as by comparing their outputs to a manual gold standard. The present work is focused on the mathematical and computational t- ory behind a technique for deformable image registration termed Hyperelastic Warping, and demonstration of the technique via applications in image regist- tion and strain measurement. The approach combines well-established prin- ples of nonlinear continuum mechanics with forces derived directly from thr- dimensional image data to achieve registration. The general approach does not require the de?nition of landmarks, ?ducials, or surfaces, although it can - commodate these if available. Representative problems demonstrate the robust and ?exible nature of the approach. Three-dimensional registration methods are introduced for registering MRI volumes of the pelvis and prostate. The chapter ?rst reviews the applications, xi xii Preface challenges, and previous methods of image registration in the prostate.
Автор: M. Emre Celebi; Gerald Schaefer Название: Color Medical Image Analysis ISBN: 940178129X ISBN-13(EAN): 9789401781299 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recently, medical imaging modalities that use color information have been introduced to the formerly monochrome world of x-ray, CT and ultrasound. This book summarizes the state of the art in the utilization of color information in medical image analysis.
Автор: Shuo Li; Jianhua Yao Название: Spinal Imaging and Image Analysis ISBN: 3319375229 ISBN-13(EAN): 9783319375229 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- Clinical Imaging and Applications.- Imaging of the Spine: A Medical and Physical Perspective, by Joseph Burns.- Arthritis of the Spine, by Runsheng Wang, Michael Ward.- Osteoporosis, by Thomas Baum et al..- Image Processing.- Computer aided detection of bone metastases in the thoracolumbar spine, by Jianhua Yao.- Quantitative Monitoring of Bone Formation in Ankylosing Spondylitis Using Computed Tomography, by Sovira Tan.- Three-dimensional Spine Reconstruction from Radiographs, by Samuel Kadoury.- Vertebral Column Localization, Segmentation, and Labeling, by V. Chaudhary.- Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images, by Tomaz Vrtovec.- Cross-Modality Vertebrae Localization and Labeling using Learning-Based Approaches, by Yiqiang Zhan, Bing Jian, Maneesh Dewan, Xiang Sean Zhou.- Articulated Statistical Shape Models of the Spine, by J. Boisvert.- Reconstruction of 3D Vertebral Model from A Single 2D Lateral Fluoroscopic Image, by Guoyan Zheng and Lutz-P. Nolte.- Graphical Model-based Vertebral Identification from X-ray Images, by Xiao Dong and Guoyan Zheng.- Model-Based Segmentation, Reconstruction and Analysis of the Vertebral Body from Spinal CT, by Melih Aslan, Ahmed Shalaby, Asem Ali, and Aly A. Farag.- Image Guided Spine Intervention.- Toward Virtual Modeling and Templating for Enhanced Spine Surgery Planning, by Cristian Linte, David Holmes.- Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images, by Tamas Ungi, Andras Lasso, Gabor Fitchinger.- Robotic Assistance and Intervention in Spine Surgery, by Rajesh Kumar.- Index.
Автор: Shuo Li; Jo?o Manuel R. S. Tavares Название: Shape Analysis in Medical Image Analysis ISBN: 3319038125 ISBN-13(EAN): 9783319038124 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A landmark publication in its scope, this book features contributions by more than a dozen internationally renowned experts, addressing key topics in shape analysis in medical imaging, such as image segmentation, modeling, and classification techniques.
Автор: Aja-Fern?ndez Название: Statistical Analysis of Noise in MRI ISBN: 3319399330 ISBN-13(EAN): 9783319399331 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique text presents a comprehensive review of methods for modeling signal and noise in magnetic resonance imaging (MRI), providing a systematic study, classifying and comparing the numerous and varied estimation and filtering techniques. Features: provides a complete framework for the modeling and analysis of noise in MRI, considering different modalities and acquisition techniques; describes noise and signal estimation for MRI from a statistical signal processing perspective; surveys the different methods to remove noise in MRI acquisitions from a practical point of view; reviews different techniques for estimating noise from MRI data in single- and multiple-coil systems for fully sampled acquisitions; examines the issue of noise estimation when accelerated acquisitions are considered, and parallel imaging methods are used to reconstruct the signal; includes appendices covering probability density functions, combinations of random variables used to derive estimators, and useful MRI datasets.
Автор: Conti Название: Mobile Networks for Biometric Data Analysis ISBN: 3319396986 ISBN-13(EAN): 9783319396989 Издательство: Springer Рейтинг: Цена: 32652.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient’s prevention plans or to allow medical professionals to access the patient’s current status. This book will be of value to all with an interest in this expanding field.
Автор: Shuo Li; Jo?o Manuel R. S. Tavares Название: Shape Analysis in Medical Image Analysis ISBN: 3319375210 ISBN-13(EAN): 9783319375212 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A landmark publication in its scope, this book features contributions by more than a dozen internationally renowned experts, addressing key topics in shape analysis in medical imaging, such as image segmentation, modeling, and classification techniques.
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