Photo Acoustic and Optical Coherence Tomography Imaging, Volume 3
3D Printed Smart Sensors and Energy Harvesting Devices
Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1
Talking Renewables (Second Edition)
Soft Biological Shells in Bioengineering
Theory of Image Formation
Fully revised and updated, the second edition of this classic text is the definitive guide to the mathematical models underlying imaging from sensed data. Building on fundamental principles derived from the two- and three-dimensional Fourier transform, and other key mathematical concepts, it introduces a broad range of imaging modalities within a unified framework, emphasising universal theoretical concepts over specific physical aspects. This expanded edition presents new coverage of optical-coherence microscopy, electron-beam microscopy, near-field microscopy, and medical imaging modalities including MRI, CAT, ultrasound, and the imaging of viruses, and introduces additional end-of-chapter problems to support reader understanding. Encapsulating the author's fifty years of experience in the field, this is the ideal introduction for senior undergraduate and graduate students, academic researchers, and professional engineers across engineering and the physical sciences.
Photo Acoustic and Optical Coherence Tomography Imaging, Volume 2
This book covers the state-of-the-art techniques of fundus imaging for the diagnosis of retinal diseases. It is part of a three-volume work that describes the latest imaging techniques in which to bring optical coherence tomography (OCT), fundus Imaging and optical coherence tomography angiography (OCTA) to accurately facilitate the diagnosis of retinal diseases. Clinical disorders of the retina have been attracting the attention of researchers, aiming at reducing the blindness rate. This includes uveitis, diabetic retinopathy, macular edema, endophthalmitis, proliferative retinopathy, age-related macular degeneration and glaucoma. Treatment is significantly dependent on having early and accurate diagnosis, which can be significantly improved by employing the techniques described in the book.Key FeaturesProvides a comprehensive overview of all pertinent topics related to fundus imaging techniques, applicable to diagnosis of eye disordersOffers a unique coverage of Neural Networks in distinguishing eye diseasesMachine learning techniques are presented in detail throughoutMany of the chapter contributors are world-class researchersExtensive references will be provided at the end of each chapter to enhance further study