Biomedical visualisation. Volume 3 / Paul M. Rea, editor.
Rea, Paul (Paul M.), editor.
2019
R857.T47 B56 2019eb
Available Online

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Title Biomedical visualisation. Volume 3 / Paul M. Rea, editor.
ISBN 9783030193850 (electronic book)
3030193853 (electronic book)
9783030193843
3030193845
9783030193843
9783030193867
3030193861
9783030193874
303019387X
DOI https://doi.org/10.1007/978-3-030-19385-0
Published Cham : Springer, [2019]
Copyright ©2019
Language English
Description 1 online resource : illustrations.
Other Standard Identifiers 10.1007/978-3-030-19385-0 doi
Call Number R857.T47 B56 2019eb
Dewey Decimal Classification 610.28
Summary This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences, with a focus in this volume related to anatomy, and clinically applied scenarios. The first six chapters have an anatomical focus examining digital technologies and applications to enhance education. The first examines the history and development of ultrasound, applications in an educational setting, and as a point-of-care ultrasound at the bedside. The second chapter presents a transferable workflow methodology in creating an interactive educational and training package to enhance understanding of the circadian rhythm. The third chapter reviews tools and technologies, which can be used to enhance off-campus learning, and the current range of visualisation technologies like virtual, augmented and mixed reality systems. Chapter four discusses how scanning methodologies like CT imagery, can make stereoscopic models. The fifth chapter describes a novel way to reconstruct 3D anatomy from imaging datasets and how to build statistical 3D shape models, described in a clinical context and applied to diagnostic disease scoring. The sixth chapter looks at interactive visualisations of atlases in the creation of a virtual resource, for providing next generation interfaces. The seventh and eight chapters discuss neurofeedback for mental health education and interactive visual data analysis (applied to irritable bowel disease) respectively. The final two chapters examine current immersive technologies -virtual and augmented reality, with the last chapter detailing virtual reality in patients with dementia. This book is accessible to a wide range of users from faculty and students, developers and computing experts, the wider public audience. It is hoped this will aid understanding of the variety of technologies which can be used to enhance understanding of clinical conditions using modern day methodologies.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 28, 2019).
Added Author Rea, Paul (Paul M.), editor.
Series Advances in experimental medicine and biology ; v. 1156.
Available in Other Form Print version: 9783030193843
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Intro; Preface; Acknowledgements; About the Book; Chapters 1-6 Anatomical Visualisation and Education; Chapters 7-8 Clinical Applications Using Serious Games and Visual Data Analysis; Chapter 9-10 Immersive Technologies; Contents; About the Editor; Contributors; The Use of Ultrasound in Educational Settings: What Should We Consider When Implementing this Technique for Visualisation of Anatomical Structures?; 1 Introduction; 2 Transducers, Scanning Techniques and Modes; 3 Educational Context; 4 Ethical Considerations; 5 Summary; References

Interactive 3D Visualisation of the Mammalian Circadian System1 Introduction; 2 Materials; 2.1 Model Acquisition; 2.2 Software; 3 Methods; 3.1 Prototype and Initial Testing; 3.2 3D Model Development; 3.2.1 Eye; 3.2.2 Suprachiasmatic Nucleus; 3.2.3 Neurons; 3.2.4 Nucleus of Neuron; 3.2.5 Content and Audio Production; 3.3 Interactive Application Design; 3.3.1 Animations; 3.4 Quiz; 3.5 Surveys; 3.5.1 Student Survey; 3.5.2 Instructor Survey; 3.5.3 Interactive Learning Application Pilot Study; 4 Results; 4.1 Prototype Testing; 4.2 Interactive Learning Application

4.3 Student Feedback4.3.1 Diagnostic Survey; 4.4 Content Achievement Quiz; 4.4.1 Application Attitude Survey; 4.4.2 Additional Feedback; 4.5 Instructor Feedback; 5 Discussion; 6 Future Development; 7 Conclusion; References; Utilising Anatomical and Physiological Visualisations to Enhance the Face-to-Face Student Learning Experience in Biomedical Sciences and Medicine; 1 The Phenomenal Rise of Off-Campus/Online Learning; 2 History of Off-Campus/Distance/Online Education; 3 Technology Today

4 Modern Technology's Impact on Medicine and Biomedical Science Learning Experiences in Anatomy and Physiology5 Conclusion; References; Anatomy Visualizations Using Stereopsis: Current Methodologies in Developing Stereoscopic Virtual Models in Anatomical Education; 1 Introduction; 1.1 Literature Review; 1.2 Purpose of Using Stereoscopic Virtual Models; 1.3 Significance; 2 Stereopsis and 3D Models: A Description; 3 Methods for Constructing Stereoscopic Models; 3.1 Volume Rendering; 3.2 Surface Rendering; 3.3 Semi-auto Combined Rendering; 3.4 Measurement

4 Data Used for Creating Stereoscopic Models4.1 Computer Tomographic (CT) Images; 4.2 Magnetic Resonance Images (MRI); 4.3 Computed Tomographic Angiography Images; 4.4 Magnetic Resonance Angiography Images; 4.5 Slice Photographic Images; 5 Stereoscopic Visualization; 5.1 Stereoscopic Projection System; 5.2 Visualization; 5.3 Presentation and Exploration; 5.4 Implementation; 6 Discussion; 6.1 The Benefits; 6.2 The Limitations; 6.3 Future Directions; References; Statistical Shape Models: Understanding and Mastering Variation in Anatomy; 1 Statistical Anatomy

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