Quantitative Volumetric Analysis from CorTechs Labs on Hitachi Scanners

Hitachi 1.2T Oasis, 1.5T Echelon Oval, and 3.0T Trillium Oval are compatible with CorTechs Labs’ automated MRI post-processing brain image analysis solutions. The MRI data from these devices has been validated to ensure accurate and consistent brain segmentation results when processed using CorTechs Labs’ quantitative MR imaging software to return quantifiable, volumetric data in the assessment of neurodegenerative diseases, such as MS, AD, TBI and Epilepsy.

  • Clinical in vivo quantitative MRI biomarkers
  • Personalized brain structure segmentation
  • Completely automated system – integrates with PACS
  • Available for ages 3 years to 100
  • Brain structure volumes compared to age and gender norms
  • Longitudinal evaluation on a single report
  • Easy workflow integration
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Information and Trial Request for CorTechs Labs Products

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FDA cleared, CE marked, and Health Canada, Australia and South Korea licensed volumetric MRI processing solution* with clinical applications ranging from the evaluation of mild cognitive impairment (MCI) to dementia, epilepsy, and multiple sclerosis, as well as traumatic brain injury (TBI) and other neurodegenerative disorders. NeuroQuant measures brain structures through 3D T1 MR images, with results available in under 10 minutes. LesionQuant measures lesions and brain structures through combined 3D T1 and FLAIR MR images, with results available in under 30 minutes.

*PETQuant is currently for research use only.

NeuroQuant provides neurologists, radiologists, neuroradiologists and clinical researchers quantitative measurements from MRI brain studies that can be used in conjunction with other clinical findings as part of their clinical assessment. NeuroQuant should not be used as a stand-alone diagnostic tool.

NeuroQuant is intended for automatic labeling, visualization and volumetric quantification of segmentable brain structures from a set of MR  images. This software is intended to automate the current manual process of identifying, labeling and quantifying the volume of segmentable brain structures identified on MR images.