What is it about?
The MHI is a view-based temporal template method and has been applied successfully to various Laser Speckle Contrast Imaging (LSCI) data to visualize the perfusion variation locations during different stimuli. It generates a single bidimensional map from an image sequence showing perfusion variations in time. In the generated image, each pixel is a function of recency of motion (perfusion variations in our case) of the image sequence.
Featured Image
Why is it important?
The MHI images clearly illustrates the locations where perfusion decreases during occlusion and that is more easily obtained in comparison to a visual inspection of all of the raw dynamic fluorescent images constituting the recordings.
Perspectives
In order to give support to the clinician or researchers, we use a view based temporal template method called the MHI to evaluate perfusion changes during an ischemic event in mouse brain. The proposed method of the MHI gives a real-time and online results of the visualization of perfusion changes during occlusion of the middle cerebral artery. We demonstrate the use of MHI algorithm to visualize the hypoperfusion during an acute cerebral ischemic event in mouse brain. Using MHI method, areas of lesion (occlusion) have clearly been illustrated.
Dr. Mohammad Zaheer Ansari
Cochin University of Science and Technology
Read the Original
This page is a summary of: Application of motion history image (MHI) on dynamic fluorescent imaging for monitoring cerebral ischemia induced by occlusion of middle cerebral artery (MCA) in mouse brain, Biomedical Spectroscopy and Imaging, December 2017, IOS Press,
DOI: 10.3233/bsi-170170.
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