Mandal, Pravat K and Shukla, Deepika (2020) Kalpana: Advanced Spectroscopic Signal Processing Platform for Improved Accuracy to Aid in Early Diagnosis of Brain Disorders in Clinical Setting. J Alzheimers Dis, 75 (2). pp. 397-402.
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Abstract
Magnetic resonance spectroscopy (MRS) plays a substantial role in the non-invasive detection of brain neurochemicals, antioxidants, and neurotransmitters. Quantitative monitoring of these neurochemicals and neurotransmitters in the brain has a profound application for the understanding of brain disorders. Significant progress in the MR scanner as well as MR pulse sequence development to detect in vivo neurochemicals has been accomplished. The processing of MR signal from these low abundant neurochemicals/neurotransmitters should be very robust and sensitive in order to provide distinctive observations of disease-related neurochemical alterations and their absolute quantitation to aid in early clinical diagnosis. We highlight the diversity in currently available MRS processing tools, and recently introduced, KALPANA, a promising package integrating the end-to-end processing as well as robust quantitation of neurochemicals in a user-friendly approach through a graphical user interface. This further necessitates the futuristic need for advanced MRS processing pipeline and the respective readout can help in early diagnosis and prognosis of diseases in the clinical environment.
Item Type: | Article |
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Subjects: | Neurodegenerative Disorders Neuro-Oncological Disorders Neurocognitive Processes Neuronal Development and Regeneration Informatics and Imaging Genetics and Molecular Biology |
Depositing User: | Dr. D.D. Lal |
Date Deposited: | 20 Apr 2020 05:21 |
Last Modified: | 13 Dec 2021 09:46 |
URI: | http://nbrc.sciencecentral.in/id/eprint/686 |
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