Terahertz Imaging for Biomedical Applications
Pattern Recognition and Tomographic Reconstruction
1st Edition
Published on 20. March 2012
XVI, 316 pages
978-1-4614-1821-4 (ISBN)
Description
Terahertz biomedical imaging has become an area of interest due to its ability to simultaneously acquire both image and spectral information. Terahertz imaging systems are being commercialized, with increasing trials performed in a biomedical setting. As a result, advanced digital image processing algorithms are needed to assist screening, diagnosis, and treatment. "Pattern Recognition and Tomographic Reconstruction" presents these necessary algorithms, which will play a critical role in the accurate detection of abnormalities present in biomedical imaging. Terhazertz tomographic imaging and detection technology contributes to the ability to identify opaque objects with clear boundaries, and would be useful to both in vivo and ex vivo environments, making this book a must-read for anyone in the field of biomedical engineering and digital imaging.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Springer US
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XVI, 316 p.
File size
10,08 MB
ISBN-13
978-1-4614-1821-4 (9781461418214)
DOI
10.1007/978-1-4614-1821-4
Schweitzer Classification
Other editions
Additional editions
Xiaoxia Yin | Brian W.-H. Ng | Derek Abbott
Terahertz Imaging for Biomedical Applications
Pattern Recognition and Tomographic Reconstruction
Book
04/2014
Springer
€106.99
Shipment within 15-20 days
Xiaoxia Yin | Brian W.-H. Ng | Derek Abbott
Terahertz Imaging for Biomedical Applications
Pattern Recognition and Tomographic Reconstruction
Book
03/2012
Springer
€106.99
Shipment within 15-20 days
Content
Introduction and Motivation to Terahertz Radiation.- Terahertz Sources and Detectors.- Terahertz Imaging Modes.- Terahertz Imaging Analysis.- Pattern Formation and Recognition Using T-rays.- Wavelet Transforms.- Feature Extraction and Selection.- Pattern Classification.- THz Pattern Recognition Experiments.- Terahertz Computed Tomography.- 2D Wavelet Segmentation in 3D T-ray CT.- Wavelet-Based Terahertz Coherent Local Tomography.- Local CT Using a THz QCL.- Conclusions and Outlook.
