Biomedical Imaging Principles and Advancements

Foreword

Preface

BIOMEDICAL IMAGING FUNDAMENTALS

Introduction to Biomedical Imaging and Image Processing

Maíra Araújo de Santana, Juliana Carneiro Gomes, Clarisse Lins de Lima, José Matheus Fonseca and Wellington Pinheiro dos Santos

Magnetic Resonance Imaging: Functional and Anatomical Imaging Methods and Applications

Clarisse Lins de Lima and Wellington Pinheiro dos Santos

Infrared Thermography: Principles and Applications in Healthcare

Maíra Araújo de Santana, Valter Augusto de Freitas Barbosa, Maria Euclécia Albuquerque da Silva, Thailson Caetano Valdeci da Silva and Wellington Pinheiro dos Santos

Electrical Impedance Tomography: Fundamentals and Applications

Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa and Wellington Pinheiro dos Santos

BIOMEDICAL IMAGING APPLICATIONS

Alzheimer’s Disease Image Diagnosis

Ana Paula Silva de Oliveira, Rodrigo Gomes de Souza, Maria Karoline da Silva Andrade, Maíra Araújo de Santana and Wellington Pinheiro dos Santos

Classification of Motor Phenotype in Parkinson’s Disease Using Images from Fast Wavelet Transform and Machine Learning

Maíra Araújo de Santana, Juliana Carneiro Gomes, Ana Paula Silva Oliveira, Lívia Shirahige, Kátia Monte Silva and Wellington Pinheiro dos Santos

COVID-19 Clinical Diagnosis by Images and Signals

Juliana Carneiro Gomes, Arianne Sarmento Torcate, Ana Beatriz de Souza Sampaio, Arthur Moreira Nogueira de Melo, Gabriel Nogueira de Moura Pereira and Wellington Pinheiro dos Santos

Multimodal Sentiment Analysis from Facial Images and Signals Converted to Images

Maíra Araújo de Santana, Arianne Sarmento Torcate, Wilza Oliveira dos Santos, Hyngrid Souza e Silva and Wellington Pinheiro dos Santos

Images as Signals in Motor Imagery  

Juliana Carneiro Gomes, Ana Paula S. de Oliveira, José Matheus Fonseca, Eduarda Barros, Giselle Moreno and Wellington Pinheiro dos Santos

Skin Cancer and Hansen’s Disease Diagnosis

Pedro Vitor S. G. de Lima, Juliana Carneiro Gomes, Laís Araújo Castro, Camila Siqueira Lins, Lukas Medeiros Malheiro and Wellington Pinheiro dos Santos

Functional Image Detection

Clarisse Lins de Lima and Wellington Pinheiro dos Santos

Classification of Alzheimer’s Diffusion Images

Clarisse Lins de Lima and Wellington Pinheiro dos Santos

Biomedical Images Datasets

Maíra Araújo de Santana, Clarisse Lins de Lima, Flávio Secco Fonseca, Arianne Sarmento Torcate, Ana Clara Gomes da Silva, Catarina Victória N. de Oliveira, Caylane Mayssa de Lima Simões, Maria Vitória Soares Muniz, Nicole Charron, Vitória de Araújo Xavier and Wellington Pinheiro dos Santos

Index

About the Editors

Biography

Wellington Pinheiro dos Santos, an accomplished academic, earned his Electrical and Electronic Engineering degree (2001) and a Master’s degree in Electrical Engineering (2003) from the Federal University of Pernambuco. Holding a Ph.D. in Electrical Engineering from the Federal University of Campina Grande (2009), he is currently an Associate Professor at the Department of Biomedical Engineering, Federal University of Pernambuco. With expertise in Computer Science, he excels in digital image processing, pattern recognition, computer vision, and computational intelligence. As a respected member of professional societies, including SBEB and IFMBE, he contributes significantly to the fields of Computing and Engineering in Medicine and Biology.

Juliana Carneiro Gomes, a Biomedical Engineer from the Federal University of Pernambuco (UFPE-2016), enriched her education through a sandwich program at Mercer University in the United States, sponsored by the Sciences without Borders (CAPES) program. During this academic sojourn, she conducted research at the Advanced Imaging Algorithms and Instrumentation Laboratory at Johns Hopkins University School of Medicine, focusing on Computed Tomography (CT) Image Processing. Her academic journey continued with a Master’s in Biomedical Engineering from CTG/UFPE (2019), where she specialized in Electrical Impedance Tomography (EIT), emphasizing image reconstruction using Artificial Neural Networks. Currently holding a Ph.D. in Computer Engineering from the University of Pernambuco (UPE), Juliana is an active member of the Biomedical Computing Research Group at UFPE, contributing to research in Applied Neurosciences. Her dedication extends to her previous role as a Substitute Professor at UFPE’s Physics Department.

Maíra Araújo de Santana, holding a Ph.D. in Computer Engineering from the University of Pernambuco (UPE), has a rich academic background with bachelor’s and master’s degrees in Biomedical Engineering from the Federal University of Pernambuco (UFPE). As a dedicated member of the Biomedical Computing Research Group at UFPE, her research spans Affective Computing, pattern recognition for early breast cancer diagnosis, and Applied Neurosciences. Maíra’s international experience includes participation in the Science without Borders program in the United States, where she spent an academic year at the University of Alabama at Birmingham (UAB) and contributed as a researcher at the Carl E. Ravin Advanced Imaging Laboratories (RAI Labs) at Duke University, NC. This experience deepened her expertise in medical image processing.

Clarisse Lins de Lima is a distinguished researcher with a degree and a master’s in Biomedical Engineering from the Federal University of Pernambuco, Recife, Brazil. She further pursued her Ph.D. in Computer Engineering from the Polytechnique School of the University of Pernambuco, Recife, Brazil. Clarisse’s research focuses on cutting-edge areas, including digital epidemiology, digital processing of biomedical images and biosignals, as well as the development of intelligent diagnostic support systems. Her work demonstrates a keen interest in applying computational intelligence to advance the fields of medicine and biology.