A new vision for imaging-based diagnosis
Smart standalone software flexibly accommodates a wide variety of arterial spin labaling sequences from different MRI machine models. Novel artificial intelligence (AI) algorithms identify the MRI sequences, process the data accordingly and produces a consistent result in line with that typically used by neuro-radiologists.
Neuroimaging
Early evidence suggests that Arterial Spin Labeling (ASL), an emerging clinical MRI technique, can be used to detect blood flow in brain. Due to the coupling of blood flow and glucose metabolism in the brain, it may be used as a surrogate of the established FDG-PET. ASL does not require usage of a radioactive contrast agent, so the patient can avoid unnecessary exposure to radiation.
Machine Learning
Software will flexibly accommodate a wide variety of ASL sequences from different MRI machine models. Artificial intelligence (AI) algorithms identify the MRI sequences collected, process the data accordingly and producet a consistent result in line with that typically used by neuro-radiologists. Further data refines the Alzheimer’s disease biomarker detection to develop more reliable diagnostic tools.
Early Detection
Scans can reveal structural changes to brain tissue early enough to detect morphological changes. This early bio marker detection has the potential to prevent irreversible brain damage which could have occurred by the time it is able to be detected by traditional methods.