Acceleration of Biomedical Image Processing with Dataflow on FPGAs

1. Auflage 2016
ISBN: 978-87-93379-36-7
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 228 Seiten, Hardback, Format (B × H): 161 mm x 240 mm, Gewicht: 516 g

Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book reconfigurable computing with FPGAs is discussed as an alternative to multi-core processing and graphics card accelerators. Instead of adjusting the application to the hardware, FPGAs allow the hardware to also be adjusted to the problem. Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep pipelines that can be executed with very high parallelism. The transformation process is discussed from initial design decisions to working implementations. Two example applications from stochastic localization microscopy and electron tomography illustrate the approach further. Topics discussed in the book include:• Reconfigurable hardware• Dataflow computing• Image processing• Application acceleration

Autoren/Hrsg.

Grüll, Frederik

Kebschull, Udo

Fachgebiete

• Naturwissenschaften Physik Mechanik Energie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

Acceleration of Biomedical Image Processing with Dataflow on FPGAs

Über Autor(innen)

Frederik Grüll, Udo Kebschull