Vessel & Tissue Quantification

The research on vessel and tissue quantification focuses on advancing AI-driven medical imaging to improve diagnosis, therapy planning, and patient outcomes. The objective is to enhance disease detection, support precision medicine, and optimize treatment strategies.

Vessel quantification enables accurate segmentation and measurement of blood vessels, helping detect stenoses, aneurysms, and vascular anomalies early. This supports better diagnosis, personalized therapy selection, and improved outcomes for conditions like stroke, heart disease, and peripheral artery disease.

Tissue quantification allows for precise assessment of tissue functionality and damage, aiding in the classification of diseases, therapy monitoring, and prediction of treatment success. This benefits neurological, oncological, and musculoskeletal disorders, ensuring targeted and effective patient care.

By leveraging automated analysis, AI-powered detection, and multiparametric imaging (CT/MRI), the goal is to revolutionize medical diagnostics and therapy planning, leading to more accurate, efficient, and personalized healthcare solutions.

Vessel Quantification

The research focuses on the extraction and analysis of blood vessels to gain critical insights into vascular structure and function. Accurate and robust vessel segmentation, along with precise analysis such as measurements of diameter, vessel pathways, and biomarkers, provides a solid foundation for medical diagnostics and treatment strategies. Changes in the vascular system, such as stenoses (narrowings) and aneurysms (bulges), can lead to severe conditions like circulatory disorders and strokes. The goal is to enable automatic, comprehensive detection of vascular anomalies and pathologies, improving early diagnosis and patient outcomes.

Supporting Personalized Therapy Planning

• Early identification of vascular diseases for timely intervention
• Simplified therapy planning based on automatic and precise vessel segmentation and analysis tools
• Personalized treatment selection to optimize patient care and minimize risks

By leveraging AI-driven vessel analysis in medical imaging, we aim to enhance early disease detection, streamline therapy planning, and support precision medicine—ultimately improving patient care in vascular health.

Medical Impact Across Different Fields
Vascular conditions can cause life-threatening events like strokes, heart attacks, and aneurysm ruptures, often due to stenoses (narrowed vessels), aneurysms (bulges), or ruptures, which disrupt blood flow and oxygen supply.

• Stroke & Heart Attack: Strokes result from narrowed brain arteries or ruptured aneurysms, while heart attacks stem from blocked coronary arteries.
• Aortic Aneurysm Rupture: A critical condition requiring urgent diagnosis and treatment.
• Peripheral Artery Disease & Thrombosis: Narrowed leg arteries can cause pain, limb damage, or amputation; deep vein thrombosis may lead to pulmonary embolism.
• Carotid Artery Stenosis: Can cause paralysis, vision issues, or silent stroke risk.
• Rare Vascular Anomalies & Tumors: Hard to diagnose but require precise detection for timely treatment.

AI-driven vascular analysis enhances early detection, diagnostics, and personalized therapy, preventing complications and improving patient outcomes.

Tissue Quantification

Focusing on automatic tissue quantification in medical imaging, this research enables precise analysis of tissue function and damage. Advanced imaging techniques allow accurate assessment of tissue damage—both locally and volumetrically—enhancing diagnostic accuracy and guiding therapeutic decisions.

Supporting Personalized Therapy Planning

• Improved classification and treatment of tissue-related conditions for personalized therapies
• Reduction of therapy side effects through optimized treatment selection
• Decision support for the most suitable therapy approach
• Prediction of therapy success for better long-term patient outcomes

Medical Impact Across Multiple Fields

• Parkinson’s Disease: Enhancing early and differential diagnosis
• Dementia: Identifying diagnostic stages for optimal treatment strategies
• Multiple Sclerosis: Monitoring therapy effectiveness and detecting medication side effects early
• Liver Fibrosis/Cirrhosis: Diagnosis, staging, and disease monitoring (MASH, SLD, PSC, etc.)
• Tumors: Early detection, characterization, and therapy optimization for improved patient care
• Sarcopenia: Monitoring muscle function in critically ill patients
• Orthopedics: Evaluating cartilage health using T1ρ imaging

By integrating AI-driven analysis and multiparametric imaging (CT/MRI), we are revolutionizing the way tissue damage is assessed—leading to more accurate diagnoses, better therapy planning, and improved patient outcomes.

• Liver Function Computation based on MRI. 2016. Article
• Aorta CTA Segmentation and Quantification. 2021. Article
• Fully Automated Tumor Tracking & Analysis for Longitudinal Assessment. 2022. Article
• Liver Vessel Segmentation using Connectivity Analysis. 2022. Article
• GAN-Based Healthy Brain Reconstruction for Anomaly Detection in CT. 2024. Article

We offer applied research, software development, and study support in the field of vessel and tissue quantification for medical imaging. Our services include contract research and custom software solutions for quantitative analysis of vascular structures and tissue properties, covering algorithm development, AI-based methods, validation, and integration into research or clinical workflows. We also engage in collaborative research projects, including the joint acquisition and execution of publicly funded initiatives, and provide technical support for imaging studies from study design to data analysis. All work is conducted under Fraunhofer MEVIS’ ISO-certified quality management system.