High-Performance Medical Image Processing

The processing of medical images in a reasonable timeframe and with high definition is challenging. This volume helps to meet that challenge by presenting an overview of medical imaging modalities, processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results. It provides a comprehensive review of parallel algorithms in medical image processing problems and discusses the latest empirical research findings in the area. Key features include descriptions of different medical imaging modalities and their applications, discussions of parallel computing with different multicore architectures, expositions on the need for embedding data and task parallelism in different medical image processing techniques, and helpful examples and case studies.

Format: Hardback
Length: 300 pages
Publication date: 07 July 2022
Publisher: Apple Academic Press Inc.

The processing of medical images within a reasonable timeframe and with high definition poses a significant challenge. To address this challenge, this comprehensive volume offers a thorough overview of medical imaging modalities, their processing techniques, the utilization of high-performance computing, and the importance of incorporating parallelism into medical image processing approaches to achieve efficient and rapid results.

Contributions from esteemed researchers from prestigious laboratories and educational institutions are featured in High-Performance Medical Image Processing, providing valuable insights into medical image processing techniques, parallel computing techniques, and the integration of parallelism into various image processing methodologies. This book serves as a valuable resource, offering a comprehensive review of parallel algorithms in medical image processing problems.

The volume encompasses a wide range of topics, including parallel computing, multicore architectures, and their applications in image processing. It delves into machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and other relevant areas. Case studies, such as those focused on the detection of cancer tumors, further elucidate the information presented.

Key features of this book include:

Comprehensive descriptions of different medical imaging modalities and their applications

Discussions of the fundamentals and advanced aspects of parallel computing with various multicore architectures

Exploration of the necessity for embedding data and task parallelism in different medical image processing techniques

Presentation of helpful examples and case studies to reinforce the discussed methods

This book is of immense value to researchers, practitioners, and students in the field of medical imaging, computer science, and related disciplines. Its comprehensive coverage and insightful perspectives will assist in advancing the understanding and application of high-performance medical image processing techniques.

Weight: 770g
Dimension: 229 x 152 (mm)
ISBN-13: 9781774637227