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https://dspace.iiti.ac.in/handle/123456789/3799
Title: | Detection and analysis of human brain disorders |
Authors: | Tiwari, Deeksha Jha, Hem Chandra |
Keywords: | Artificial intelligence;Signal processing;Detection probabilities;Disease detection;Disease monitoring;Human brain;Imaging technology;Multi-modal imaging;Neurodegeneration;Neurodegenerative disorders;Neurodegenerative diseases |
Issue Date: | 2019 |
Publisher: | Springer Verlag |
Citation: | Tiwari, D., & Jha, H. C. (2019). Detection and analysis of human brain disorders doi:10.1007/978-981-13-0923-6_61 |
Abstract: | In this review, we noted that any single technique available till date is not sufficient enough to provide us with all the answers. Fortunately, the strengths and weakness of available techniques complement each other to a great extent. Thus, for obtaining desired information, data from different techniques can be poled together leading to the introduction of a variety of multimodal imaging technology. The direct comparison of the acquired information has contributed greatly to the understanding of different neurodegenerative disorders and better application of imaging techniques to it. This has also led to use of imaging technology as disease monitoring application. Disease detection and subsequent progression can be effectively monitored using such multimodal imaging techniques. There’s a huge scope for development of new and improvements to be incorporated in existing techniques for enhancing the detection probability of neurodegeneration in early stages. Early detection might help in improvement of therapeutics and treatment available. © Springer Nature Singapore Pte Ltd 2019. |
URI: | https://doi.org/10.1007/978-981-13-0923-6_61 https://dspace.iiti.ac.in/handle/123456789/3799 |
ISBN: | 9789811309229 |
ISSN: | 2194-5357 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Biosciences and Biomedical Engineering |
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