Real-Time Processing of Ultrasound Images : State-of-the-Art and Future Perspectives (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)

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Real-Time Processing of Ultrasound Images : State-of-the-Art and Future Perspectives (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)

Cammarasana, Simone/ Patanè, Giuseppe

ウェブストア価格 ¥35,422（本体¥32,202）
Springer Nature Switzerland AG（2025/11発売）
外貨定価 US$ 169.99
ポイント 322pt

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製本 Hardcover:ハードカバー版／ページ数 132 p.
言語 ENG
商品コード 9783032058041

Full Description

This book provides valuable insights for researchers, clinicians, and developers working at the intersection of medical imaging and real-time signal processing. It delivers a clear and in-depth exploration of advanced techniques for real-time ultrasound (US) image processing, with a particular emphasis on state-of-the-art denoising and super-resolution methods. Ultrasound is one of the most widely used imaging modalities in medicine - valued for its affordability, portability, and safety. However, challenges such as speckle noise and limited resolution can hinder its diagnostic potential. This book addresses these issues head-on, presenting real-time techniques that significantly enhance image quality and support more accurate clinical interpretation. From static US images to dynamic 2D videos and 3D volumes, the book discusses how real-time processing can improve US images for disease diagnosis and tracking. Readers will gain a comprehensive understanding of current solutions, including comparative reviews of existing methods, practical insights into implementation, and analysis of both computational demands and hardware requirements. Whether the reader is designing medical imaging software, conducting research, or seeking to optimise clinical workflows, this book offers both the technical depth and real-world perspective needed to advance your work in ultrasound imaging.

Introduction.- Ultrasound Imaging: Overview and Challenges.- 3 US Denoising .- Learning-based Low-rank Denoising .- Real-time Denoising of 2D US Images.- US Super-Resolution.- Real-time US Visualization Based on Super-resolution .- Future Technological & Research Perspectives. Appendix A: Deep learning and HPC for Image Processing.