Open Access Medical Books

TEXTBOOK : Biomedical Imaging

Biomedical Imaging
Edited by Youxin Mao . 
128 pages . 

Biomedical imaging is becoming an indispensable branch within bioengineering. This research 
field has recent expanded due to the requirement of high-level medical diagnostics and rapid 
development of interdisciplinary modern technologies. This book is designed to present the 
most recent advances in instrumentation, methods, and image processing as well as clinical 
applications in important areas of biomedical imaging. This book provides broad coverage of 
the field of biomedical imaging, with particular attention to an engineering viewpoint.
Chapter one introduces a 3D volumetric image registration technique. The foundations of 
the volumetric image visualization, classification and registration are discussed in detail.
Although this highly accurate registration technique is established from three phantom 
experiments (CT, MRI and PET/CT), it applies to all imaging modalities. Optical imaging has 
recently experienced explosive growth due to the high resolution, noninvasive or minimally 
invasive nature and cost-effectiveness of optical coherence modalities in medical diagnostics 
and therapy. Chapter two demonstrates a fiber catheter-based complex swept-source optical 
coherence tomography system. Swept-source, quadrature interferometer, and fiber probes 
used in optical coherence tomography system are described in details. The results indicate that 
optical coherence tomography is a potential imaging tool for in vivo and real-time diagnosis, 
visualization and treatment monitoring in clinic environments. Brain computer interfaces have 
attracted great interest in the last decade. Chapter three introduces brain imaging and machine 
learning for brain computer interface. Non-invasive approaches for brain computer interface 
are the main focus. Several techniques have been proposed to measure relevant features from 
EEG or MRI signals and to decode the brain targets from those features. Such techniques 
are reviewed in the chapter with a focus on a specific approach. The basic idea is to make 
the comparison between a BCI system and the use of brain imaging in medical applications.
Texture analysis methods are useful for discriminating and studying both distinct and subtle 
textures in multi-modality medical images. In chapter four, texture analysis is presented as 
a useful computational method for discriminating between pathologically different regions 
on medical images. This is particularly important given that biomedical image data with near 
isotropic resolution is becoming more common in clinical environments.
The goal of this book is to provide a wide-ranging forum in the biomedical imaging field 
that integrates interdisciplinary research and development of interest to scientists, engineers, 
teachers, students, and clinical providers. This book is suitable as both a professional reference 
and as a text for a one-semester course for biomedical engineers or medical technology 

Youxin Mao
Institute for Microstructural Science,
National Research Council Canada


1. Volumetric Image Registration of Multi-modality Images of CT, MRI and PET 001
Guang Li and Robert W. Miller

2. Full Range Swept-Source Optical Coherence Tomography with Ultra Small 
Fiber Probes for Biomedical Imaging 027
Youxin Mao, Costel Flueraru and Shoude Chang

3. Brain Imaging and Machine Learning for Brain-Computer Interface 057
Maha Khachab, Chafic Mokbel, Salim Kaakour, Nicolas Saliba and Gérard Chollet

4. Texture Analysis Methods for Medical Image Characterisation 075
William Henry Nailon .

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