| Autor: |
Seenuvasamurthi, S., Ashok, S., Shankarlal, B., Abbas, A. Mohamed, Vajravelu, Ashok |
| Zdroj: |
International Journal of Medical Engineering and Informatics; 2024, Vol. 16 Issue: 5 p401-413, 13p |
| Abstrakt: |
New perspectives on brain structure and function can only be gained through the rapid advancement of brain imaging technology. Throughout history, this has been the case. It is common practise in medicine to employ image processing in the early stages of diagnosis and treatment. In classification and segmentation tasks, deep neural networks (DNNs) have so far proven to be exceptional. Functional ultrasound (fUS) is a novel imaging technique that enables the observation of neuronal activity across the brain in awake, ambulatory rats. To achieve adequate blood flow sensitivity in the brain microvasculature, fUS relies on lengthy ultrasonic data collecting at high frame rates, placing a load on the sampling and processing hardware. Parallel MRI is introduced in broad terms, with an emphasis on the classical understanding of image space and k-space-based techniques. |
| Databáze: |
Supplemental Index |
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