Perfusion (r)evolution.

"When the current use of Perfusion imaging hasn’t evolved since the 90’s, we deliver to clinical routine 25 years of research, publications & (r)evolutions of Perfusion Imaging."

Cercare Medical History & Legacy

Unique Perfusion Imaging (r)evolution.

Cercare Perfusion uniquely provides maps reflecting oxygen availability, in addition to blood flow and volume

Deeper Insights.

Our patented Biomarkers allow a more detailed assessment of tissue pathology and therefore optimized patient management for a variety of indications, such as Stroke, Oncology, Alzheimer, Dementia, Neoplasia, COVID-19…

AI.

Cercare Perfusion uses AI for the stroke lesion detection module, which segments the hypoperfusion and core regions of acute ischemic stroke.

Unique Maps.

CTH (Capillary Transit Heterogeneity), OEF ( Oxygen Extraction Fraction), and CMRO2 (Cerebral Rate Of O2): Inspect microvascular conditions to elaborate the final interpretation and match with clinical symptoms.

Change Nothing, Get More.

Gain time and High-level expertise in perfusion imaging for precise, fast, and reliable care without any change in your workflow.

Perfusion Imaging MR&CT

Fully-automated and multi-vendor compatible software solution.

Our Complete Solution

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Meet us on the field.

Users of Cercare Perfusion.

**Patricia L. Musolino, MGH-Harvard Medical School**

Assistant Professor of Neurology

**Tobias Granberg, Karolinska Institutet**
Associate Professor

Webinars.

Ronald Borra

Associate Professor of Nuclear Medicine & Molecular Imaging at University of Groningen

Available now

AI-Driven Decision Support in Ischemic Stroke Assessment

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Rethinking Perfusion Imaging for Oncology Assessment in Brain
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Capillary Dysfunction as a Common Disease Mechanism
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AI-Driven Analysis of Advanced Imaging Biomarkers for In-Depth Brain Tumor Assessment
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AI-Driven Decision Support in Ischemic Stroke Assessment
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Papers.

Perfusion MRI derived indices of microvascular shunting and flow control correlate with tumor grade and outcome in patients with cerebral glioma
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Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep Learning
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Biased visualization of hypoperfused tissue by computed tomography due to short imaging duration: improved classification by image down-sampling and vascular models.
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