Neuro.BV

Dedicated to volumetric analyses, delivers automatic neuroimaging biomarker extraction to assist the diagnosis, prognosis and follow-up of patients with various neurodegenerative pathologies.

Overview

Pixyl Neuro.BV is dedicated to volumetric analyses, delivers automatic neuroimaging biomarker extraction to assist the diagnosis, prognosis and follow-up of patients with various neurodegenerative pathologies. It provides brain volume quantification using 3D T1 Gradient Echo MRI, allowing a better understanding of the pattern of atrophy with objective measurements and comparison with normative values.

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Features

  • Automatic neuroimaging biomarker extraction to assist the diagnosis, prognosis and follow-up of patients with various neurodegenerative pathologies.
  • Brain volume quantification using 3D T1 Gradient Echo MRI, allowing a better understanding of the pattern of atrophy with objective measurements and comparison with normative values.
  • Minimal MRI protocols and provide results in a matter of minutes - produce quantitative report as well as co-registered and annotated MR series.
  • It's intended for the automatic labelling, visualization and volumetric quantification of segmentable brain structures and lesions from a set of MRI images. Volumetric measurements may be compared to reference percentile data.
  • Provides segmentation of brain regions Volume(ml): Volume of the anatomical region, in milliliters (ml).

Benefits

  • Aims to provide clinicians with advantages such as improved speed and accuracy in image analysis.
  • For patients, it aims to offer clinical benefits such as a more precise diagnosis, enhanced assessment of pathology, and more appropriate treatment options.
  • Enhanced patient care, with clinical decision support.
  • Results within MRI scan time (analysis time < 5 min).
  • Provides brain volume quantification for objective measurements and comparison of brain structures with normative data, adjusted for age and intracranial volume.
  • Highlights abnormalities.
  • Support early differential diagnosis.

Image examples

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