AI for Brain Structure Quantification

Quant is an Artificial Intelligence (AI) based quantification, visualization, and labeling tool for segmentation of brain structures using head CT scans. The product enables clinicians to use these quantitative measurements to determine the severity of the trauma, lesion, or underlying disease, or to assist with the comparison of multiple CT scans for progression monitoring.

Features

Measurement

Enables researchers to develop new quantitative outcome measures.

Progression Monitoring

qER-Quant has a system to track the progress of patients with hemorrhagic stroke, traumatic brain injury, or hydrocephalus.

Labeling and Visualizing

qQuant helps label and visualize segmentable brain structures for severity determination of trauma, lesion, or underlying disease.

Volume quantification

qQuant helps quantify volumes of intracranial hyperdensities, lateral ventricles, and midline shift. The product enables clinicians to use these quantitative measurements to determine the severity of the trauma, lesion, or underlying disease, or to assist with the comparison of multiple CT scans for progression monitoring.

Can be deployed on-cloud or on-premises

Output available in multiple languages

Supports scans from all major manufacturers

Clinically validated in multiple geographies

Certifications

Product Capability

Using qER-Quant assists in quantifying the volume of intracranial structures and lesions rapidly and precisely. This capability is used by clinicians to track the progress of patients with hemorrhagic stroke, traumatic brain injury or hydrocephalus and by researchers to develop new quantitative outcome measures. Clinicians can use these quantitative measurements to assist with determining the severity of the trauma, lesion or underlying disease, or to assist with the comparison of multiple CT scans.

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