Frontiers of Medical Imaging
Wydanie: 2014 r.
Dostępność: aktualnie niedostępny
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.Contents:Theory, Techniques and Physics:Coronary Plaque Quantification by Multi-slice Computed Tomography (Elzbieta Pociask, Klaudia Proniewska and Nico Bruining)On-the-Fly Monte Carlo Methods in Iterative Pet Reconstruction (László Szirmay-Kalos, Milán Magdics and Balázs Tóth)Advances in Online Dynamic MRI Reconstruction (Angshul Majumdar)Using Prior Information to Enhance Sensitivity of Longitudinal Brain Change Computation (Evan Fletcher)X-Ray Fluorescence Computed Tomography for Molecular Imaging (Xia Li and Yu Kuang)Dictionary Learning Based Low-Dose X-Ray CT Reconstruction (Qiong Xu, Hengyong Yu, Ge Wang and Xuanqin Mou)Machine Learning Methods for Segmenting Psoriatic Lesions from 2D Images (Juan Lu, Ed Kazmierczak, Jonathan H Manton and Rodney Sinclair)Image Processing in Medical Imaging:Classification on Brain Functional Magnetic Resonance Imaging: Dimensionality, Sample Size, Subject Variability and Noise (Jean Honorio)Regression Mixture Modeling for fMRI Data Analysis (V P Oikonomou and K Blekas)Tree Structure for Modeling Skin Lesion Growth (Tim K Lee, Sina Khakabi, Paul Wighton, Harvey Lui, David I McLean and M Stella Atkins)Automatic Detection of Retinal Structures Based on Mathematical Morphology (Sandra Morales, Valery Naranjo and Mariano Alcañiz)Automatic Segmentation of Retinal Images for Glaucoma Screening (Jun Cheng, Fengshou Yin, Damon Wing Kee Wong and Jiang Liu)Blind Source Separation in Assessing Tumor Pharmacokinetics (Hatef Mehrabian)Computer-Aided Tumor Detection in Automated Breast Ultrasound Images (Chung-Ming Lo and Ruey-Feng Chang)Emerging Methods and Medical Imaging Systems:Histomorphometry of Digital Pathology: Case Study in Prostate Cancer (Robert W Veltri, Guangjing Zhu, George Lee, Sahirzeeshan Ali and Anant Madabhushi)Automated Diagnosis of Diabetic Retinopathy: Fundamentals, Current State of Art and Perspectives (Arturo Aquino)Motion Correction Techniques for MR-Guided HIFU Ablation of Abdominal Organs (Sébastien Roujol, Chrit Moonen and Baudouin Denis de Senneville)Advanced Imaging Technologies in Proton Therapy (Zhong Su, Hao Chen and Zuofeng Li)An Automated Robust Segmentation Method for Intravascular Ultrasound Images (Prakash Manandhar, Chi Hau Chen, Ahmet Umit Coskun and Uvais A Qidwai)Computational Methods for the Analysis of Intravascular Ultrasound Data (E Gerardo Mendizabal-Ruiz and Ioannis A Kakadiaris)MEMS-based Transducers (CMUT) for Medical Ultrasound Imaging (Alessandro Stuart Savoia and Giosuè Caliano)Advances in Picture Archiving Communication System and Medical Imaging Cloud (Bichuan Shen and Chi-Hau Chen)Readership: Graduate students, medical researchers, physicists, and bio-engineers.Key Features:Balanced treatment of major activities in medical imagingIn-depth treatment of image processing and 3D reconstruction that is crucial to delivering medical imaging capabilitiesWritten by leaders in the field