图书简介
There has been great progress and increase in demand for medical imaging. The aim of this book is to capture all major developments in all aspects of medical imaging. As such, this book consists of three major parts: medical physics which includes 3D reconstructions, image processing and segmentation in medical imaging, and medical imaging instruments and systems. As the field is very broad and growing exponentially, this book will cover major activities with chapters prepared by leaders in the field.
This book takes a balanced approach in providing coverage of all major work done in the field, and thus provides readers a clear view of the frontier activities in the field. Other books may only focus on instrumentation, physics or computer algorithms. In contrast, this book contains all components so that the readers will obtain a full picture of the field. At the same time, readers can gain some deep insights into certain special topics such as 3D reconstruction and image enhancement software systems involving MRI, ultrasound, X-ray and other medical imaging modalities.
Key Features:
○ Balanced treatment of major activities in medical imaging
○ In-depth treatment of image processing and 3D reconstruction that is crucial to delivering medical imaging capabilities
○ Written by leaders in the field
馆藏图书馆
Harvard Library
Yale University Library
Part 1: Theory, Techniques and Physics: Review Article Chapter on Advances in Ultrasound Shear Wave Imaging (Atul Ingle et al.); Coronary Plaque Quantification by Multislice Computed Tomography (Nico Bruining); On-the-Fly Monte Carlo Methods in Iterative PET Reconstruction (László szirmay-Kalos); Advances in Online Dynamic MRI Reconstruction (Angshul Majumdar); Incorporating Prior Information to Improve Longitudinal Brain Image Registration (Ivan Fletcher); X-Ray Fluorescence Computed Tomography for Molecular Imaging (Yu Kuang and Bing Ma); Early Assessment if Therapeutic Response in Breast Tumors using Diffusion Weighted MR Scans (Bing Ma and Yu Kuang); Low Dose X-Ray CT Reconstruction via Dictionary Learning (Byxiong Xu, Hengyong Yu, Ge Wang and Xuanqinmou); Learning-Based Methods with the Identification and Monitoring of Psoriasis Severity (Juan Lu); Part 2: Image Processing and Segmentation in Medical Imaging: Classification on Brain fMRI: Dimensionality, Sample Size and Noise Issues (Jean Honoria); Regression Mixture Modelling for fMRI Data Analysis (Konstantinos Blekas and Vaggelis Oikonom); Tree Structure for Modelling Skin Lesion Growth (Tim Lee); Automatic Detection of Retinal Structures Based on Mathematical Morphology (Sandra Morales Martínez); Automatic Segmentation of Retinal Images for Glaucoma Screening (Jun Cheng et al.); Blind Source Separation in Assessing Tumor Pharmacokinetics (Hatef Mehrabian); Real Time Image Processing for MR-Guided HIFU Ablation (Sebastian Roujol et al.); Completely Automated Robust Segmentation of Intravascular Ultrasound Images (Prakash Manandhar, C H Chen and Ahmet Umitcoskun); Segmentation Aided Registration for 3D Medical Image Analysis (Yi Gao); Part 3: Medical Imaging Equipments and Systems and Emerging Methods: Advances in Cardiovascular Information System and Medical Imaging Cloud (Bichuan Shen); On Advance Imaging Technique for Proton Therapy (Hao Chen); On 3D Digital Holograms Visualizing Biomedical Applications, including Realtime Dynamic 3D Display Hardware Aspects (Javid Khan)
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