Terahertz Imaging for Biomedical Applications Pattern Recognition and Tomographic Reconstruction

“Terahertz Imaging for Biomedical Applications: Pattern Recognition and Tomographic Reconstruction” by Xiaoxia Yin, published by Springer Science & Business Media on March 23, 2012, is a comprehensive exploration of terahertz biomedical imaging. This edition, consisting of 316 pages, delves into the technology’s capacity to acquire both image and spectral information, highlighting its growing commercialization and application in biomedical settings. The book addresses the need for advanced digital image processing algorithms that are essential for effective screening, diagnosis, and treatment in the field.
Readers will find a detailed presentation of algorithms critical for the accurate detection of abnormalities in biomedical imaging. The text discusses terahertz tomographic imaging and detection technology, emphasizing its utility in identifying opaque objects with clear boundaries in both in vivo and ex vivo environments. This work is particularly relevant for professionals engaged in technology and engineering, electronics, and computer vision, providing insights into imaging systems and optical data processing within the biomedical context.
Official synopsis Publisher
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.
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