E-Book, Englisch, Band 7, 393 Seiten, eBook
Kuniyil Ajith Singh LED-Based Photoacoustic Imaging
1. Auflage 2020
ISBN: 978-981-15-3984-8
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
From Bench to Bedside
E-Book, Englisch, Band 7, 393 Seiten, eBook
Reihe: Progress in Optical Science and Photonics
ISBN: 978-981-15-3984-8
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book highlights the use of LEDs in biomedical photoacoustic imaging. In chapters written by key opinion leaders in the field, it covers a broad range of topics, including fundamentals, principles, instrumentation, image reconstruction and data/image processing methods, preclinical and clinical applications of LED-based photoacoustic imaging. Apart from preclinical imaging studies and early clinical pilot studies using LED-based photoacoustics, the book includes a chapter exploring the opportunities and challenges of clinical translation from an industry perspective. Given its scope, the book will appeal to scientists and engineers in academia and industry, as well as medical experts interested in the clinical applications of photoacoustic imaging.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Fundamentals of photoacoustic imaging: A theoretical tutorial.- High-power light emitting diodes; an alternative excitation source for photoacoustic tomography.- Deformation-compensated averaging for deep-tissue LED and laser diode-based photoacoustic imaging integrated with handheld echo ultrasound.- Ultrasound receive-side strategies for image quality enhancement in low-energy illumination based Photoacoustic Imaging.- Vascular complexity evaluation using a skeletonization approach and 3D LED-based photoacoustic images.- Multiscale signal processing methods for improving image reconstruction and visual quality in LED-based photoacoustic systems.- Data structure assisted accelerated reconstruction strategy for handheld photoacoustic imaging.- Democratizing LED-Based Photoacoustic Imaging with Adaptive Beamforming and Deep Convolutional Neural Network.- Deep learning for image processing and reconstruction to enhance LED-based photoacoustic imaging.- Light emitting diodes based photoacoustic and ultrasound tomography: Imaging aspects and applications.- Functional and Molecular Photoacoustic Computed Tomography using Light Emitting Diodes.