Metabolic brain

perfusion software

Cercare Medical Neurosuite for MRI & CT

Revolutionizing post-processing imaging with cutting-edge technology.

Perfusion Post-Processing Software
All Made Simple

Cercare Medical’s advanced microvascular modeling technology leverages these unique metrics to provide a comprehensive and detailed assessment of brain health. By going beyond traditional perfusion imaging, we empower clinicians with the tools needed to make more informed decisions, improve patient care, and ultimately enhance clinical outcomes.
MTT
CTH
Combining MTT and CTH maps provides a comprehensive view of cerebral perfusion, showing both average transit time and variability for enhanced diagnostic precision.

Advanced Automation

Automate the entire imaging process from detection to reporting for rapid, consistent results and reduced radiologist workload.

Precision Imaging

Deliver highly accurate biomarkers, including advanced perfusion and microvascular metrics, using cutting-edge technology

Seamless Integration

Integrate effortlessly with PACS and other systems, ensuring secure and accessible image sharing across departments.

Customizable Workflows

Tailor workflow settings to meet the specific needs of individual clinics, optimizing imaging processes and patient care.

Unveiling 25 Years of Pioneering Research in Perfusion Imaging with Cercare Medical

Cercare Medical stands on more than 25 years of research in perfusion imaging and post-processing. The DSC and CT perfusion analysis module offers standard perfusion markers such as relative blood flow (rCBF). Via proprietary methods encompassing microvascular modeling, Cercare Medical uniquely offers vascular heterogeneity and model-based oxygen extraction and consumption markers from standard DSC MRI or CT perfusion data.

Explanation of Perfusion Imaging and Its Importance 

Perfusion imaging is a crucial technique in medical imaging that measures the flow of blood through the brain’s vascular network. It provides vital information about the delivery of oxygen and nutrients to brain tissue, which is essential for maintaining healthy brain function. By visualizing and quantifying blood flow, perfusion imaging helps in diagnosing and treating various neurological conditions, including stroke, brain tumors, and traumatic brain injuries. 

Perfusion imaging is particularly important in acute settings, such as during a stroke, where timely and accurate information about blood flow can significantly impact treatment decisions and outcomes. It helps clinicians identify areas of the brain that are at risk due to reduced blood flow (ischemia) and differentiate between regions that are permanently damaged and those that can potentially be saved with appropriate intervention.

Relative Cerebral Blood Flow (rCBF) 

  • Explanation: rCBF measures the volume of blood passing through a given amount of brain tissue per unit of time. It is a critical marker for assessing the adequacy of blood supply to different regions of the brain. 
  • Importance: Low rCBF values can indicate areas of ischemia, which is essential for diagnosing conditions like acute ischemic stroke. rCBF is also useful in evaluating brain tumors, as malignant tissues often exhibit abnormal blood flow patterns. 

Relative Cerebral Blood Volume (rCBV) 

  • Explanation: rCBV represents the total volume of blood within a given amount of brain tissue.

  • Importance: rCBV helps in assessing the density of the vascular network within brain tissues. Higher rCBV values are often associated with hypervascular tumors, while lower values can indicate areas of reduced perfusion due to stroke or other pathologies. 

Mean Transit Time (MTT) 

  • Explanation: MTT is the average time it takes for blood to pass through a given region of the brain. 
  • Importance: MTT provides insights into the efficiency of blood flow through the brain's vascular system. Prolonged MTT can indicate impaired perfusion, which is commonly seen in ischemic stroke and other conditions affecting cerebral blood flow. 

Time to Maximum (Tmax) 

  • Explanation: Tmax is a measure of the time difference (delay) between the time a contrast agent enters the brain (measured though the arterial input function) until it reaches the brain tissue in question.  
  • Importance: Tmax is a sensitive indicator of delays in blood flow, which can help in identifying regions of the brain that are experiencing reduced perfusion. It is particularly useful in stroke imaging, where elevated Tmax can highlight areas at risk of infarction. 

Capillary Transit-Time Heterogeneity (CTH) 

  • Explanation: Capillary Transit-Time Heterogeneity (CTH) measures the variability in the time it takes for blood to pass through the capillaries in the brain. It is an indicator of the efficiency and health of the microvascular network. 
  • Importance: CTH provides insights into the distribution of blood flow at the capillary level. A lower CTH value suggests a more uniform and efficient blood flow, which is typical of healthy brain tissue. Conversely, higher CTH values indicate heterogeneity in capillary transit times, which can signal microvascular dysfunction, often seen in conditions like stroke and neurodegenerative diseases. 

Oxygen Extraction Fraction (OEF) 

  • Explanation: Oxygen Extraction Fraction (OEF) quantifies the proportion of oxygen removed from the blood by the brain tissue as it passes through the cerebral microvasculature. It is a critical marker of the brain's metabolic demand and its ability to extract oxygen. Cercare uniquely offers model-based OEF derived from standard DSC or CT perfusion data. 
  • Importance: OEF is vital for understanding the brain’s metabolic state. Elevated OEF values can indicate increased metabolic demand or reduced blood flow, which is often observed in ischemic conditions. By assessing OEF, clinicians can determine areas of the brain that are experiencing hypoxia, aiding in the diagnosis of conditions like stroke and brain tumors. 

Cerebral Metabolic Rate of Oxygen (CMRO2) 

  • Explanation: The Cerebral Metabolic Rate of Oxygen (CMRO2) measures the rate at which oxygen is consumed by the brain tissue. It combines information from CBF and OEF to provide a comprehensive assessment of the brain’s oxygen metabolism. Cercare uniquely offers model-based CMRO2 derived from standard DSC or CT perfusion data. 
  • Importance: CMRO2 is a direct measure of brain metabolism and energy consumption. Abnormal CMRO2 values can indicate metabolic dysfunction, which is crucial for diagnosing and monitoring neurological diseases. For instance, reduced CMRO2 may suggest areas of brain tissue that are at risk due to insufficient oxygen supply, while increased CMRO2 might be seen in regions with high metabolic activity, such as tumors. 

Benefits of Microvascular Modeling in Diagnosis and Treatment Planning 

Microvascular modeling offers significant advantages in the diagnosis and treatment planning of various neurological conditions. Here are some key benefits: 

Enhanced Diagnostic Accuracy 

  • Microvascular modeling provides a detailed picture of the brain’s vascular and metabolic state. By incorporating unique metrics like CTH, OEF, and CMRO2, clinicians might achieve a more accurate diagnosis. This is particularly important in conditions where traditional perfusion markers may not provide enough information, such as in chronic ischemic diseases or subtle microvascular changes in neurodegenerative disorders. 

Early Detection of Disease 

  • Metrics such as CTH and OEF can detect microvascular abnormalities before significant structural damage occurs. This early detection capability allows for timely intervention, which can significantly improve patient outcomes. For example, identifying early microvascular changes in stroke patients can facilitate the rapid initiation of therapies to restore blood flow and prevent further brain damage. 

Personalized Treatment Planning 

  • Microvascular modeling enables personalized treatment plans based on the specific vascular and metabolic characteristics of an individual’s brain. By understanding the precise areas of ischemia or hypermetabolism, clinicians can tailor interventions to target affected regions more effectively. This approach is especially beneficial in managing complex conditions like brain tumors, where the metabolic activity of the tumor can guide surgical planning and radiation therapy. 

Monitoring Treatment Efficacy 

  • The ability to track changes in microvascular and metabolic parameters over time allows for the continuous monitoring of treatment efficacy. For instance, after revascularization procedures in stroke patients, metrics like CTH and CMRO2 can be used to assess the improvement in blood flow and oxygen metabolism, helping to adjust treatments as needed to optimize recovery. 

Improved Prognostication 

  • Microvascular modeling provides prognostic information that can assist in assessing patient outcomes. Through images of the metabolic and vascular health of brain tissue, clinicians can potentially identify patients at higher risk of complications and implement more aggressive monitoring and management strategies. 

Cercare Medical’s advanced microvascular modeling technology leverages these unique metrics to provide a comprehensive and detailed assessment of brain health. By going beyond traditional perfusion imaging, we empower clinicians with the tools needed to make more informed decisions, improve patient care, and ultimately enhance clinical outcomes 

Neuro & Oncology
Cercare Medical’s perfusion capabilities are designed to provide comprehensive analyses and detailed insights into cerebral perfusion, aiding in the diagnosis and treatment planning for various neurological conditions.
  • Fully Automated Processing
  • Efficiency and Precision
  • Comprehensive Analysis
  • Extended Tofts Model (Ktrans, Ve, Vp, etc)

Dynamic Contrast Enhanced (DCE) MRI provides detailed information about tissue vascularity by tracking the distribution of a contrast agent over time. It is particularly useful in oncology for assessing tumor vascularity and permeability. 

Efficiency and Precision: The software automatically processes DCE MRI data, providing quick and accurate results, thus enhancing clinical workflow efficiency. 

Model-Free Perfusion Markers 

Comprehensive Analysis: Includes model-free perfusion markers such as relative Cerebral Blood Flow (rCBF), essential for evaluating tissue perfusion without the need for complex models. 

Extended Tofts Model 

Advanced Metrics: Utilizes the widespread Extended Tofts model to calculate important parameters like Ktrans (volume transfer constant), Ve (extravascular extracellular space), and Vp (plasma volume), offering detailed insights into capillary permeability and tissue vascularity. 

  • Fully Automated Processing
  • Model-free Perfusion Markers
  • Microvascular Modeling
  • Contrast Agent Extravasation Correction

Cercare Medical’s DSC Perfusion (MRI) module is designed to deliver detailed cerebral perfusion analysis, aiding in the diagnosis and treatment planning for various neurological conditions. 

Fully Automated Processing  

Efficiency and Reliability: Automatically detects and processes DSC MRI data, ensuring rapid and consistent results. This automation minimizes manual intervention to the point where no manual interaction is necessary, reducing the risk of human error and streamlining clinical workflows. 

Model-Free Perfusion Markers 

Essential Data: Provides crucial model-free perfusion markers such as relative Cerebral Blood Flow (rCBF) and relative Cerebral Blood Volume (rCBV), which are vital for assessing brain perfusion without the need for complex models. 

Microvascular Modeling 

Advanced Insights: Incorporates microvascular modeling to deliver detailed metrics like Capillary Transit-Time Heterogeneity (CTH) and model-based Oxygen Extraction Fraction (OEF). These advanced markers provide deeper insights into the cerebral microvasculature, enhancing diagnostic precision. 

Contrast Agent Extravasation Correction 

Accurate Measurements: Corrects for the extravasation of contrast agents, ensuring the accuracy of perfusion measurements. This feature is crucial for obtaining accurate cerebral perfusion biomarkers such as blood flow or blood volume, free from artifacts caused by contrast leakage. 

By integrating these cutting-edge features, Cercare Medical’s DSC Perfusion (MRI) module empowers clinicians with the tools needed for precise and comprehensive cerebral perfusion analysis, ultimately improving patient care and outcomes. 

  • Fully Automated Processing
  • Mean Diffusion Weighted Image (DWI) and Apparent Diffusion Coefficient (ADC)
  • Optional Correction for Magnetic Field Inhomogeneities

Cercare Medical’s Diffusion Weighted Imaging (DWI) module is designed to enhance the detection and characterization of acute ischemic stroke and other conditions affecting water diffusion in the brain. 

Fully Automated Processing 

Streamlined Workflow: Automatically detects and processes DWI data, ensuring accurate and swift results. This automation reduces the need for manual intervention, increasing efficiency and consistency in clinical practice. 

Mean Diffusion Weighted Image (DWI) and Apparent Diffusion Coefficient (ADC) 

Critical Metrics: Calculates mean DWI and ADC maps, which are essential for identifying areas of restricted diffusion often indicative of acute stroke or tumors. These maps provide crucial information for diagnosing and planning treatment for various brain pathologies. 

Optional Correction for Magnetic Field Inhomogeneities 

Enhanced Accuracy: Includes an option for magnetic field inhomogeneity correction to improve the accuracy of diffusion measurements, ensuring reliable data for clinical decision-making. 

By integrating these advanced features, Cercare Medical’s Diffusion Weighted Imaging (DWI) module empowers clinicians with the tools needed for precise diffusion analysis and ensures alignment between diffusion images and other images processed through Cercare Medical Neurosuite through native image alignment (co-registration), ultimately assisting in improvement of patient care and outcomes. 

  • Fully Automated Processing
  • Model-free Perfusion Markers (rCBF)
  • Extended Tofts Model (Ktrans, Ve, Vp, etc

CT Perfusion (CTP) is a technique used to evaluate cerebral blood flow, blood volume, and other perfusion metrics by monitoring the passage of an iodine-containing contrast agent through the brain using CT imaging. 
 
• Fully Automated Processing: Cercare Medical’s software automates the detection and processing of CTP data, ensuring consistent and rapid delivery of perfusion images in the PACS. The images are fully compliant with the DICOM standard and can be viewed alongside primary imaging sequences. Generally, it can be thought of as perfusion without the hazzle. 
 
• Perfusion Markers: The software provides standard perfusion markers such as relative cerebral blood flow (rCBF), relative cerebral blood volume (rCBV), and mean transit time (MTT). These markers help in assessing the extent of perfusion abnormalities. 
 
• Advanced Metrics: In addition to standard markers, the software offers advanced metrics like CTH and model-based OEF, providing a comprehensive view of cerebral hemodynamics . 
 
• Integration with Clinical Workflow: The vendor neutral and automated processes allow seamless integration with clinical workflows, facilitating quick and efficient diagnosis and treatment planning. 

rCBF


The relative cerebral blood flow. SVD* & PARAMETRIC

MR DSC, MR
DCE*, CTP

rCBV

The relative cerebral blood volume. SVD & PARAMETRIC

MR DSC, CTP

MTT

Mean transit time of the passage
of blood through a voxel. SVD &
Parametric.

MR DSC, CTP

CTH

Capillary Transit-time heterogeneity. A measure of the dispersion in intra-voxel capillary transit times.

MR DSC, CTP

OEF

Model-based oxygen extraction fraction

MR DSC, CTP

CMRO2

The relative model-based
cerebral metabolic rate of oxygen

MR DSC, CTP

Delay

Delay from site of measurement
of the arterial input function
concentration time-curve and site of measurement of the tissue
concentration-time curve.

MR DSC, MR DCE, CTP

Tmax Basic

The timepoint at which the
residue function attains its
maximum value.

MR DSC, CTP

LOI Probability

Measure of the lack of information. I.e. a value larger than 0.05 means that there is very little information in the particular voxel.

MR DSC, CTP

COV

Coefficient of Variance also referred to as relative transit time heterogeneity ‘RTH’ in scientific and clinical literature.

MR DSC, CTP

rLeakage

Extravasation of contrast agent in a particular voxel, i.e. leakage from the vascular compartment to the extravascular compartment.

TTP

Time to peak of the concentration-time curve.
Note that the TTP map is not related to the SVD or parametric deconvolution methods.

MR DSC, MR DCE, CTP

TTD

Time from peak until wash out of contrast agent - MR DSC
.

MR DSC

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Oncology case

MRI has been used in the assessment of a variety of
brain abnormalities, including tumors, metastases,
infections, vascular and degenerative diseases.
Initially, most attention was focused on the improvement of
visualization and resolution of morphologic characteristics.
In recent years, there have been substantial improvements
in MR protocols with a special focus on the assessment
of functional tissue characteristics, such as perfusion.

Lack of Simple and Standardized Perfusion
Post-Processing Software Solutions

Post-processing perfusion data is a time consuming and labor-intensive task. Managing context switching for radiologists

Cercare Medical Neurosuite provides fully
automated perfusion processing, including
leakage correction
Time

Time Saving and Productivity Increase

by as much as 25%, initial data provided by leading Scandinavian institution, several studies showing clinical impact.

Direct Access to Perfusion
Information at Time of Reporting Perfusion Automation

MRI of patient with a GBM detected in 2001. New increased contrast area in 2022

MRI

MRI of patient with a GBM detected in 2001. New increased contrast area in 2022

SVD METHOD

rCBV vendor standard map based on the single value decomposition model (SVD)

VASCULAR MODEL

rCBV Cercare standard map based on the vascular model (VM)

The works of Cercare Medical founders in 2006, 2014, and 2017 show that the cerebral maps based on the vascular model (Bayesian estimation) developed by Cercare has less bias to estimate the functional maps. It enhances the quality of maps to better understand the cerebral perfusion dynamics, which is crucial for diagnosing and treating various neurological conditions.

Prof. Ritta Parkkola on Perfusion Imaging
in Gliomas | Neurorads 2023

Pr. Robert ForbrigRevolutionary Imaging Insights: Brain Tumor Analysis Neurorads 2022

Slider 2

rCBV

Clinical Benefits of Relative Cerebral Blood Volume
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Improved Diagnosis and
    Grading of Brain Tumors
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Assessment of Stroke and
    Vascular Pathologies
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Monitoring
    Therapeutic Effects
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Differentiating
    Disease States
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Guiding Surgical and
    Radiation Planning

rCBF

Clinical Benefits of Relative Cerebral Blood Flow
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Improved Stroke Management
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Assessment of Treatment Efficacy Post-Revascularization
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Guidance for Surgical Planning
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Evaluation of Neurodegenerative Diseases
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Integration with AI for Advanced Diagnostics

MTT

Clinical Benefits of Mean Transit Time
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Accurate Detection of Salvageable Tissue in Stroke
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Reliable Assessment Post-Endovascular Treatment
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Enhanced Diagnostic Accuracy
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Monitoring Cognitive Function
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Integration with AI for Advanced Diagnostics

CTH

Clinical Benefits of Capillary Transit-Time Heterogeneity
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Enhanced Understanding of Cerebral Microvascular Health
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Improved Stroke Management
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Monitoring Treatment Effects
    in Real-Time
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Early Detection of Neurodegenerative Changes
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Predictor of Disease Progression and Recurrence in Neurological Disorders

OEF

Clinical Benefits of Oxygen Extraction Fraction
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Enhanced Detection of Cerebral Hypoperfusion
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Improved Assessment of Stroke and Ischemia
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Non-Invasive Alternative to PET Scans
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Guidance for Surgical and Therapeutic Planning
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Research and Diagnostic Development

CMRO2

Clinical Benefits of Cerebral Metabolic Rate of Oxygen
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Enhanced Tumor Characterization
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Monitoring Therapeutic Efficacy
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Predicting Disease Progression
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Assessment of Tumor Hypoxia and Angiogenesis
  • Created by potrace 1.16, written by Peter Selinger 2001-2019
    Personalized Treatment Planning

Stroke Modules

Cercare Medical’s stroke modules are designed to enhance the diagnosis and treatment planning for acute ischemic stroke and intracerebral hemorrhage.
  • Fully Automated Processing
  • Detection of Lesions Reflective of Ischemic Core and Hypoperfusion
  • Threshold and AI-Based Methodologies
  • Flexible Lesion Mismatch Framework
  • Comprehensive Reporting

Cercare Medical’s Acute Ischemic Stroke modules are designed to enhance the diagnosis and treatment planning for patients with acute ischemic stroke by providing comprehensive and automated analysis of MRI and CT data. Note that some features, such as AI-based detection of lesions, are not available in all jurisdictions. 

Fully Automated Processing 

Efficiency and Precision: Automatically detects and processes MRI and CT data, ensuring rapid and reliable results. This automation minimizes manual intervention, reducing the risk of human error and streamlining clinical workflows. 

Detection of Acute Lesions 

Critical Insights: Identifies tissue reflective of ischemic core and hypoperfusion, providing essential information for assessing the extent of brain tissue damage and ischemia. This includes mismatch lesions, volumes, and ratios, which are crucial for treatment planning. 

Threshold and AI-Based Methodologies (AI-based detection of lesions, are not available in all jurisdictions.)

Advanced Analysis: Utilizes both threshold-based and AI-based methodologies to enhance the accuracy and reliability of stroke assessment. This dual approach ensures that clinicians have the most accurate information available for decision-making. 

Comprehensive Reporting 

Streamlined Workflow: Automatically reports results to PACS and/or email notifications to critical personnel, thereby facilitating seamless integration into clinical workflows and ensuring that critical information is readily accessible to the entire care team. 

By integrating these advanced features, Cercare Medical’s Acute Ischemic Stroke modules empower clinicians with the tools needed for precise and comprehensive stroke analysis, ultimately aiming at improving patient care and outcomes. 

  • Fully Automated Processing
  • Advanced Detection Algorithms
  • Seamless Reporting

Cercare Medical’s Large Vessel Occlusion (LVO) module is designed to enhance the detection and treatment planning for acute ischemic stroke by providing detailed analysis of CTA data to identify large vessel occlusions. 

Fully Automated Processing 

Efficiency and Precision: Automatically detects and processes CTA data, ensuring rapid and reliable identification of large vessel occlusions. This automation minimizes the need for manual intervention, reducing the risk of human error and streamlining clinical workflows. 

Advanced Detection Algorithms 

Critical Insights: Utilizes advanced detection algorithms to accurately identify large vessel occlusions. This is crucial for timely intervention and treatment planning, potentially improving patient outcomes in acute ischemic stroke. 

Comprehensive Visualization 

Detailed Analysis: Provides comprehensive visualization of vascular structures and occlusions aiming at assisting the clinician in acute image reading to facilitate the assessment and decision-making processes. This includes axial, coronal, and sagittal projections, as well as rotational maximum intensity projections (MIPs) for an in-depth view. 

Seamless Reporting 

Streamlined Workflow: Automatically reports results to PACS and/or email to critical care personnel, ensuring that critical information is readily accessible to the entire care team and facilitating seamless integration into clinical workflows. 

By integrating these advanced features, Cercare Medical’s Large Vessel Occlusion (LVO) module empowers clinicians with the tools needed for precise and comprehensive analysis of large vessel occlusions, with the ultimate goal of improving patient care and outcomes. 

  • Fully Automated Processing
  • Advanced Hemorrhage Detection
  • Comprehensive Visualization
  • Automatic Reporting

Cercare Medical’s Intracerebral Hemorrhage (ICH) module is designed to enhance the detection and assessment of intracerebral hemorrhage using non-contrast CT data, aiding in the diagnosis and treatment planning for patients with hemorrhagic stroke. 

Fully Automated Processing 

Efficiency and Precision: Automatically detects and processes non-contrast CT data to identify areas of hemorrhage. This automation ensures rapid and reliable results, minimizing manual intervention and reducing the risk of human error. 

Advanced Hemorrhage Detection 

Critical Insights: Utilizes sophisticated algorithms including AI-based methodology to accurately detect hemorrhagic regions within the brain. This includes detailed mapping of the hemorrhage extent, which is crucial for clinical assessment and treatment planning. 

Comprehensive Visualization 

Detailed Analysis: Provides detailed visualizations of hemorrhagic regions, including montage images that show every slice of the hemorrhage series in a single 2D image. This comprehensive view, in combination with automated volumetric analysis, aids clinicians in assessing the severity and extent of the hemorrhage. 

 Automatic Reporting

Streamlined Workflow: Automatically reports results to PACS and/or notifies critical personnel via email, ensuring that critical information is readily accessible to the entire care team. This seamless integration into clinical workflows facilitates efficient and timely decision-making. 

By integrating these advanced features, Cercare Medical’s Intracerebral Hemorrhage (ICH) module empowers clinicians with the tools needed for precise and comprehensive hemorrhage analysis, ultimately aimed at improving patient care and outcomes. 

  • Fully Automated Processing
  • Advanced Detection of Early Signs of Ischemia
  • Comprehensive Visualization
  • Automatic Reporting

Cercare Medical’s ASPECTS module is designed to enhance the detection and assessment of early signs of ischemia using non-contrast CT data, aiding in the diagnosis and treatment planning for patients with hemorrhagic stroke. 

Fully Automated Processing 

Efficiency and Precision: Automatically detects and processes non-contrast CT data to identify brain areas affected by ischemia. This automation ensures rapid and reliable results, minimizing manual intervention and reducing the risk of human error. 

Advanced ASPECT Scoring 

Critical Insights: Utilizes sophisticated algorithms to accurately detect early signs of ischemia in the classical ASPECT regions. This includes detailed mapping of the ASPECT regions in addition to the standard single-image overview, which provides additional options for clinical inspection and treatment planning.  

Comprehensive Visualization   

Detailed Analysis: Provides detailed visualizations of ASPECTS-based early signs of ischemia detection, including summary images that show the standard ASPECT regions alongside the ASPECT score in a single 2D image. This summary view in essence reduces an extensive non-contrast CT series to a single image, thus aiding clinicians in assessing the extent of severe ischemia.  

Automatic Reporting 

Streamlined Workflow: Automatically reports results to PACS and/or notifies critical personnel via email, ensuring that critical information is readily accessible to the entire care team. This seamless integration into clinical workflows facilitates efficient and timely decision-making. 

 By integrating these advanced features, Cercare Medical’s ASPECT capabilities empowers clinicians with the tools needed for precise and comprehensive analysis of early signs of ischemia, ultimately aimed at improving patient care and outcomes. 

Stroke Case

Acute ischemic stroke is a major disease affecting aging populations worldwide, which makes appropriate prevention and treatment measures crucial. It is very
important to seek emergency care during the initial manifestations of the signs and symptoms of stroke. To confirm that a patient has a stroke, computed
tomography (CT) or magnetic resonance imaging (MRI) are performed. Optimally, a CT perfusion or MR perfusion and diffusion sequence are included as part of the protocol. Perfusion maps such as Tmax has been suggested as a pseudo-marker of the ischemic ‘penumbra’ (salvageable tissue), whereas cerebral blood flow (CBF) or the apparent diffusion coefficient (ADC) or similar has been suggested as markers of irreversible tissue damage.

Some challenges associated with stroke detection on
MRI include the following:

Having an accurate estimation of the core and penumbra are essential for appropriate treatment in cases of unknown or late
presentation after onset time.
Automated and robust processing of data to provide the warranted quantification of lesion volumes and location can be challenging.

The Vascular Model (VM) developed by Cercare showed hypoperfused areas (clearly visible) where the traditional models do not show any hypoperfusion areas.

Easier depiction of potentially hypoperfused tissue

With the VM model, we hypothesized that the lesions observed better reflect follow-up infarction.

Potentially better agreement with final infarct

With the VM model, we observed cases in which lesions in the VM model appeared more congruent with the neurologic deficits of the patients than those of the SVD technique.

Recommendations for better alignment with neurological deficits

MTT

SVD model

MTT

Vascular Model

T2 FLAIR

follow-up image
Perfusion maps of a stroke patient show a large difference in lesion appearance compared to the SVD technique, where the VM appears in better correspondence with the T2 FLAIR follow-up.

MTT

SVD model

MTT

Vascular Model

T2 FLAIR

follow-up image
The modest degree of tissue involvement is consistent with the
moderate neurologic deficits, National Institutes of Health Stroke
Scale (NIHSS) = 4.

The works2,3 by Pr Mouridsen (CEO of Cercare) and Dr.Hansen (co-founder of Cercare) document a technique
for identifying proposed malperfused tissue in acute stroke patients and appears to highlight information not detected by the standard SVD technique.
The work also suggested that the maps created with the VM model developed by Cercare matched better with
the patients’ neurological symptoms compared to the traditional method (SVD).

Dr. Thormann at Magdeburg University Hospital

Some outputs series

rCBF

The relative cerebral blood flow. SVD* & PARAMETRIC

MR DSC, MR
DCE*, CTP

rCBV

The relative cerebral blood volume. SVD & PARAMETRIC

MR DSC, CTP

MTT

Mean transit time of the passage
of blood through a voxel. SVD &
Parametric.

MR DSC, CTP

CTH

Capillary Transit-time heterogeneity. A measure of the dispersion in intra-voxel capillary transit times.

MR DSC, CTP

OEF

Model-based oxygen extraction fraction

MR DSC, CTP

CMRO2

The relative model-based
cerebral metabolic rate of oxygen

MR DSC, CTP

Delay

Delay from site of measurement
of the arterial input function
concentration time-curve and site of measurement of the tissue
concentration-time curve.

MR DSC, MR DCE, CTP

Tmax

The timepoint at which the
residue function attains its
maximum value.

MR DSC, CTP

LOI

Measure of the lack of information. I.e. a value larger than 0.05 means that there is very little information in the particular voxel.

MR DSC, CTP

COV

Coefficient of Variance also referred to as relative transit time heterogeneity ‘RTH’ in scientific and clinical literature.

MR DSC, CTP

rLeakage

Extravasation of contrast agent in a particular voxel, i.e. leakage from the vascular compartment to the extravascular compartment.

TTP

Time to peak of the concentration-time curve.
Note that the TTP map is not related to the SVD or parametric deconvolution methods.

MR DSC, MR DCE, CTP

TTD

Time from peak until wash out of contrast agent - MR DSC
.

MR DSC

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