Radius is the AI and deep learning based image quantification backbone of all Cerebriu clinical solutions.
It is based on 50+ man years of research and development – explore some core Radius features below.
Whole brain, ventricle, and hippocampal atrophy measurements are important biomarkers for especially Alzheimer’s disease. Radius offers single MRI, T1 atrophy quantification through brain segmentation and reference populations (see Brain segmentation in the 2018 timeline entry).
Radius, however, also offers atrophy rate quantification using advanced registration, simultaneous bias correction, and accurate volume difference calculations. The is important for clinical monitoring of patient disease progression but also plays a significant role in efficacy quantification for clinical drug trials.
Hippocampal Texture – early detection of Alzheimer’s disease using MR hippocampal texture.
2018a White matter lesions
Segmentation and quantification of white matter lesions from brain MRI is an important driver to understand vascular pathology in many neurological disorders. White matter lesions or white matter hypo-/hyperintensities are typically quantified from T1 or FLAIR sequences respectively.
Radius supports automatic quantification of white matter lesions from both T1 and FLAIR. Additionally, a novel Cerebriu approach improves T1-based quantification by simultaneous and coupled imputation or synthesis of potentially unavailable FLAIR sequences.
Quantification of white matter lesions