Compare Imorgon vs. Quantib Brain

Improve radiology reporting efficiency and report quality with Imorgon's reporting automation. As the top DICOM SR software for radiology, our solution significantly reduces unnecessary dictation by precisely transferring ultrasound and DEXA modality measurements into Powerscribe, Fluency, or RadAI. This eliminates manual errors and significantly accelerates the generation of reports. Imorgon's unique advantages include: - guaranteed transfer of all measurements - usually DICOM SR - electronic worksheets for direct report population (eliminating dictation from notes) - worksheets with priors, calculators, and clinical decision support (TI-RADS, O-RADS, etc) - integration with Epic and other EHRs. - vendor-neutral Our dedicated support team ensures uninterrupted workflow. Invest in Imorgon for a quick and substantial return on investment, transforming your reporting overhead into a streamlined, high-quality operation.

Quantib Brain is a radiology software solution that has received FDA clearance and CE marking, specifically designed for the segmentation of brain scans. Collaboratively developed with GE Healthcare, it operates as a plug-in for the Advantage Workstation (Server), delivering automated quantification of brain structures in a user-friendly software setting. This innovative tool allows for the longitudinal analysis of brain volume measurements, encompassing white matter, grey matter, intracranial volume, and cerebrospinal fluid, which aids in monitoring the progression of atrophy. Furthermore, it includes functionality for the segmentation and tracking of white matter hyperintensities. Quantib Brain offers a detailed summary of volumes for grey matter, white matter, ICV, CSF, and total brain volume, all presented in a clear results table. Users can also benefit from self-selected cross-sections, which can be easily exported into a detailed report, ensuring all examination findings are readily shareable for collaborative review. This capability enhances the overall efficiency of diagnosis and patient management in clinical settings.