At RSNA, Siemens Healthineers introduces AI-based MRI assistants

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At RSNA, Siemens Healthineers introduces AI-based MRI assistants

Press releases may be edited for formatting or style | December 01, 2019 Artificial Intelligence MRI
At the 105th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Dec. 1-6 at McCormick Place in Chicago, Siemens Healthineers introduces two artificial intelligence-based software assistants in the established AI-Rad Companion family that are designed to free radiologists from routine activities during magnetic resonance imaging (MRI) examinations. The AI-Rad Companion Brain MR for Morphometry Analysis1 automatically segments the brain in MRI images, measures brain volume, and marks volume deviations in result tables used by neurologists for diagnosis and treatment. The AI-Rad Companion Prostate MR for Biopsy Support1 automatically segments the prostate on MRI images and enables radiologists to mark lesions, facilitating targeted prostate biopsies.

"With the new AI-based assistants, we are expanding our diagnostic offering to help our customers increase efficiency and improve the quality of care," said Peter Koerte, Head of Digital Health at Siemens Healthineers. "We firmly believe that AI will help physicians deal with their workload and benefit patients by helping physicians achieve an improved, patient-focused decision-making process. We demonstrated this at last year's RSNA when we introduced the first application of the AI-Rad Companion focusing on CT for the chest region. At RSNA 2019, we present additional AI-Rad Companion applications for MRI examinations in the brain and prostate regions. Further applications for radiography and radio oncology will follow."

AI-Rad Companion Brain MR for Morphometry Analysis

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The AI-Rad Companion Brain MR for Morphometry Analysis supports brain volumetry, which is performed in clinical practice in cases of suspected dementia, for example. Brain volumetry involves measuring the volume of gray matter (nerve cells), white matter (nerve cell connections), and cerebrospinal fluid in various segments of the brain and comparing the results to normal volumes. A tendency for the brain volume to shrink may point to diseases like Parkinson's disease, Alzheimer's disease, or other dementia diseases. Previously, segmentation and comparison to the norm were performed manually or semi-automatically.

Based on AI algorithms, the AI-Rad Companion Brain MR for Morphometry Analysis can automatically identify about 30 brain segments on MRI images, measure their volumes, and compare the results to data in a normative reference database for brain morphometry from the Alzheimer's Disease Neuroimaging Initiative (ADNI).² The AI-Rad Companion Brain MR for Morphometry Analysis feeds the results into a report where deviations from the norm are marked automatically, enabling the radiologist to provide the neurology department with objective, quantitative data relevant to differential diagnosis and therapy management. Additionally, patient care can improve by generating reports faster and in a more standardized, evidence-based form.

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