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AneurysmFlow

Cerebral aneurysm flow quantification

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Assessing impact of embolization devices, like flow diverters, on blood flow right after deployment is crucial. AneurysmFlow is designed to provide relevant information based on quantification of blood flow changes to inform decisions.

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Relevant information || KBA1

Relevant information about blood vessel flow

Flow diverters are being increasingly used to treat cerebral aneurysms, but flow diversion procedures remain challenging. Only 76% of all aneurysm flow diversion cases result in thrombosis after 6 month follow-up,¹ which poses a risk to the patient. Several authors have shown that the flow pattern inside aneurysms is considered one of the parameters that can be used to predict rupture and clotting.²,³ AneurysmFlow is the first tool that visualizes and quantifies flow changes in the parent vessel and aneurysm before and after flow diverter deployment. It has also been shown to provide a metric – the Mean Aneurysm Flow Amplitude (MAFA) ratio – that correlates with aneurysm thrombosis.⁴ This information can support real-time decision making while the patient is still on the table.

Relevant information about blood vessel flow

Flow diverters are being increasingly used to treat cerebral aneurysms, but flow diversion procedures remain challenging. Only 76% of all aneurysm flow diversion cases result in thrombosis after 6 month follow-up,¹ which poses a risk to the patient. Several authors have shown that the flow pattern inside aneurysms is considered one of the parameters that can be used to predict rupture and clotting.²,³ AneurysmFlow is the first tool that visualizes and quantifies flow changes in the parent vessel and aneurysm before and after flow diverter deployment. It has also been shown to provide a metric – the Mean Aneurysm Flow Amplitude (MAFA) ratio – that correlates with aneurysm thrombosis.⁴ This information can support real-time decision making while the patient is still on the table.

Relevant information about blood vessel flow

Flow diverters are being increasingly used to treat cerebral aneurysms, but flow diversion procedures remain challenging. Only 76% of all aneurysm flow diversion cases result in thrombosis after 6 month follow-up,¹ which poses a risk to the patient. Several authors have shown that the flow pattern inside aneurysms is considered one of the parameters that can be used to predict rupture and clotting.²,³ AneurysmFlow is the first tool that visualizes and quantifies flow changes in the parent vessel and aneurysm before and after flow diverter deployment. It has also been shown to provide a metric – the Mean Aneurysm Flow Amplitude (MAFA) ratio – that correlates with aneurysm thrombosis.⁴ This information can support real-time decision making while the patient is still on the table.
Expanding functional understanding || KBA1

Expanding functional understanding

Currently, a combination of digital subtraction angiography (DSA) and three-dimensional rotational angiography (3DRA) is the gold standard for imaging vascular lesions, but it provides limited functional information about flow. AneurysmFlow uses novel algorithms based on the optical flow principle to convert information from a 3DRA acquisition and 2D DSA flow sequences into quantitative flow values. These values are used to visualize and quantify flow dynamics before and after flow diverter deployment in cerebral aneurysms.

Expanding functional understanding

Currently, a combination of digital subtraction angiography (DSA) and three-dimensional rotational angiography (3DRA) is the gold standard for imaging vascular lesions, but it provides limited functional information about flow. AneurysmFlow uses novel algorithms based on the optical flow principle to convert information from a 3DRA acquisition and 2D DSA flow sequences into quantitative flow values. These values are used to visualize and quantify flow dynamics before and after flow diverter deployment in cerebral aneurysms.

Expanding functional understanding

Currently, a combination of digital subtraction angiography (DSA) and three-dimensional rotational angiography (3DRA) is the gold standard for imaging vascular lesions, but it provides limited functional information about flow. AneurysmFlow uses novel algorithms based on the optical flow principle to convert information from a 3DRA acquisition and 2D DSA flow sequences into quantitative flow values. These values are used to visualize and quantify flow dynamics before and after flow diverter deployment in cerebral aneurysms.
Enhances decision making || KBA1

Enhances decision making

AneurysmFlow automatically measures the following parameters within the region of interest defined: time averaged arterial flow, time and spatially averaged projected aneurysm flow, and Mean Aneurysm Flow Amplitude (MAFA) ratio. Users can also view the following information as graphs: time dependent arterial flow and time dependent, spatially averaged projected aneurysm flow.

Enhances decision making

AneurysmFlow automatically measures the following parameters within the region of interest defined: time averaged arterial flow, time and spatially averaged projected aneurysm flow, and Mean Aneurysm Flow Amplitude (MAFA) ratio. Users can also view the following information as graphs: time dependent arterial flow and time dependent, spatially averaged projected aneurysm flow.

Enhances decision making

AneurysmFlow automatically measures the following parameters within the region of interest defined: time averaged arterial flow, time and spatially averaged projected aneurysm flow, and Mean Aneurysm Flow Amplitude (MAFA) ratio. Users can also view the following information as graphs: time dependent arterial flow and time dependent, spatially averaged projected aneurysm flow.
New information || KBA1

New information with Mean Aneurysm Flow Amplitude ratio

The Mean Aneurysm Flow Amplitude (MAFA) ratio represents the change in blood flow in the aneurysm after flow diverter deployment. The MAFA ratio is derived by comparing the average projected velocity of the blood flow in the aneurysm before and after flow diverter deployment. This ratio is corrected for average velocity change of the blood flow in the primary feeding vessel to the aneurysm. An initial study compared the compensated MAFA ratio to the results of aneurysm occlusion on follow-up exams. The threshold analysis of the MAFA ratio significantly predicted thrombosis at 12 months below a threshold of 1.03 (P= .035). The authors say, “The MAFA ratio based on DSA flow quantification appears to be a reliable predictor for the assessment of stent treatment outcomes in this small study.” ⁴

New information with Mean Aneurysm Flow Amplitude ratio

The Mean Aneurysm Flow Amplitude (MAFA) ratio represents the change in blood flow in the aneurysm after flow diverter deployment. The MAFA ratio is derived by comparing the average projected velocity of the blood flow in the aneurysm before and after flow diverter deployment. This ratio is corrected for average velocity change of the blood flow in the primary feeding vessel to the aneurysm. An initial study compared the compensated MAFA ratio to the results of aneurysm occlusion on follow-up exams. The threshold analysis of the MAFA ratio significantly predicted thrombosis at 12 months below a threshold of 1.03 (P= .035). The authors say, “The MAFA ratio based on DSA flow quantification appears to be a reliable predictor for the assessment of stent treatment outcomes in this small study.” ⁴

New information with Mean Aneurysm Flow Amplitude ratio

The Mean Aneurysm Flow Amplitude (MAFA) ratio represents the change in blood flow in the aneurysm after flow diverter deployment. The MAFA ratio is derived by comparing the average projected velocity of the blood flow in the aneurysm before and after flow diverter deployment. This ratio is corrected for average velocity change of the blood flow in the primary feeding vessel to the aneurysm. An initial study compared the compensated MAFA ratio to the results of aneurysm occlusion on follow-up exams. The threshold analysis of the MAFA ratio significantly predicted thrombosis at 12 months below a threshold of 1.03 (P= .035). The authors say, “The MAFA ratio based on DSA flow quantification appears to be a reliable predictor for the assessment of stent treatment outcomes in this small study.” ⁴
Step-by-step workflow || KBA1

Step-by-step workflow

AneurysmFlow supports endovascular treatment of saccular cerebral aneurysms of 5 mm and larger with embolization devices, such as flow diverters. Data acquisition can be controlled at the tableside during the normal workflow, while analysis is performed in the control room.

Step-by-step workflow

AneurysmFlow supports endovascular treatment of saccular cerebral aneurysms of 5 mm and larger with embolization devices, such as flow diverters. Data acquisition can be controlled at the tableside during the normal workflow, while analysis is performed in the control room.

Step-by-step workflow

AneurysmFlow supports endovascular treatment of saccular cerebral aneurysms of 5 mm and larger with embolization devices, such as flow diverters. Data acquisition can be controlled at the tableside during the normal workflow, while analysis is performed in the control room.
  • Relevant information || KBA1
  • Expanding functional understanding || KBA1
  • Enhances decision making || KBA1
  • New information || KBA1
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Relevant information || KBA1

Relevant information about blood vessel flow

Flow diverters are being increasingly used to treat cerebral aneurysms, but flow diversion procedures remain challenging. Only 76% of all aneurysm flow diversion cases result in thrombosis after 6 month follow-up,¹ which poses a risk to the patient. Several authors have shown that the flow pattern inside aneurysms is considered one of the parameters that can be used to predict rupture and clotting.²,³ AneurysmFlow is the first tool that visualizes and quantifies flow changes in the parent vessel and aneurysm before and after flow diverter deployment. It has also been shown to provide a metric – the Mean Aneurysm Flow Amplitude (MAFA) ratio – that correlates with aneurysm thrombosis.⁴ This information can support real-time decision making while the patient is still on the table.

Relevant information about blood vessel flow

Flow diverters are being increasingly used to treat cerebral aneurysms, but flow diversion procedures remain challenging. Only 76% of all aneurysm flow diversion cases result in thrombosis after 6 month follow-up,¹ which poses a risk to the patient. Several authors have shown that the flow pattern inside aneurysms is considered one of the parameters that can be used to predict rupture and clotting.²,³ AneurysmFlow is the first tool that visualizes and quantifies flow changes in the parent vessel and aneurysm before and after flow diverter deployment. It has also been shown to provide a metric – the Mean Aneurysm Flow Amplitude (MAFA) ratio – that correlates with aneurysm thrombosis.⁴ This information can support real-time decision making while the patient is still on the table.

Relevant information about blood vessel flow

Flow diverters are being increasingly used to treat cerebral aneurysms, but flow diversion procedures remain challenging. Only 76% of all aneurysm flow diversion cases result in thrombosis after 6 month follow-up,¹ which poses a risk to the patient. Several authors have shown that the flow pattern inside aneurysms is considered one of the parameters that can be used to predict rupture and clotting.²,³ AneurysmFlow is the first tool that visualizes and quantifies flow changes in the parent vessel and aneurysm before and after flow diverter deployment. It has also been shown to provide a metric – the Mean Aneurysm Flow Amplitude (MAFA) ratio – that correlates with aneurysm thrombosis.⁴ This information can support real-time decision making while the patient is still on the table.
Expanding functional understanding || KBA1

Expanding functional understanding

Currently, a combination of digital subtraction angiography (DSA) and three-dimensional rotational angiography (3DRA) is the gold standard for imaging vascular lesions, but it provides limited functional information about flow. AneurysmFlow uses novel algorithms based on the optical flow principle to convert information from a 3DRA acquisition and 2D DSA flow sequences into quantitative flow values. These values are used to visualize and quantify flow dynamics before and after flow diverter deployment in cerebral aneurysms.

Expanding functional understanding

Currently, a combination of digital subtraction angiography (DSA) and three-dimensional rotational angiography (3DRA) is the gold standard for imaging vascular lesions, but it provides limited functional information about flow. AneurysmFlow uses novel algorithms based on the optical flow principle to convert information from a 3DRA acquisition and 2D DSA flow sequences into quantitative flow values. These values are used to visualize and quantify flow dynamics before and after flow diverter deployment in cerebral aneurysms.

Expanding functional understanding

Currently, a combination of digital subtraction angiography (DSA) and three-dimensional rotational angiography (3DRA) is the gold standard for imaging vascular lesions, but it provides limited functional information about flow. AneurysmFlow uses novel algorithms based on the optical flow principle to convert information from a 3DRA acquisition and 2D DSA flow sequences into quantitative flow values. These values are used to visualize and quantify flow dynamics before and after flow diverter deployment in cerebral aneurysms.
Enhances decision making || KBA1

Enhances decision making

AneurysmFlow automatically measures the following parameters within the region of interest defined: time averaged arterial flow, time and spatially averaged projected aneurysm flow, and Mean Aneurysm Flow Amplitude (MAFA) ratio. Users can also view the following information as graphs: time dependent arterial flow and time dependent, spatially averaged projected aneurysm flow.

Enhances decision making

AneurysmFlow automatically measures the following parameters within the region of interest defined: time averaged arterial flow, time and spatially averaged projected aneurysm flow, and Mean Aneurysm Flow Amplitude (MAFA) ratio. Users can also view the following information as graphs: time dependent arterial flow and time dependent, spatially averaged projected aneurysm flow.

Enhances decision making

AneurysmFlow automatically measures the following parameters within the region of interest defined: time averaged arterial flow, time and spatially averaged projected aneurysm flow, and Mean Aneurysm Flow Amplitude (MAFA) ratio. Users can also view the following information as graphs: time dependent arterial flow and time dependent, spatially averaged projected aneurysm flow.
New information || KBA1

New information with Mean Aneurysm Flow Amplitude ratio

The Mean Aneurysm Flow Amplitude (MAFA) ratio represents the change in blood flow in the aneurysm after flow diverter deployment. The MAFA ratio is derived by comparing the average projected velocity of the blood flow in the aneurysm before and after flow diverter deployment. This ratio is corrected for average velocity change of the blood flow in the primary feeding vessel to the aneurysm. An initial study compared the compensated MAFA ratio to the results of aneurysm occlusion on follow-up exams. The threshold analysis of the MAFA ratio significantly predicted thrombosis at 12 months below a threshold of 1.03 (P= .035). The authors say, “The MAFA ratio based on DSA flow quantification appears to be a reliable predictor for the assessment of stent treatment outcomes in this small study.” ⁴

New information with Mean Aneurysm Flow Amplitude ratio

The Mean Aneurysm Flow Amplitude (MAFA) ratio represents the change in blood flow in the aneurysm after flow diverter deployment. The MAFA ratio is derived by comparing the average projected velocity of the blood flow in the aneurysm before and after flow diverter deployment. This ratio is corrected for average velocity change of the blood flow in the primary feeding vessel to the aneurysm. An initial study compared the compensated MAFA ratio to the results of aneurysm occlusion on follow-up exams. The threshold analysis of the MAFA ratio significantly predicted thrombosis at 12 months below a threshold of 1.03 (P= .035). The authors say, “The MAFA ratio based on DSA flow quantification appears to be a reliable predictor for the assessment of stent treatment outcomes in this small study.” ⁴

New information with Mean Aneurysm Flow Amplitude ratio

The Mean Aneurysm Flow Amplitude (MAFA) ratio represents the change in blood flow in the aneurysm after flow diverter deployment. The MAFA ratio is derived by comparing the average projected velocity of the blood flow in the aneurysm before and after flow diverter deployment. This ratio is corrected for average velocity change of the blood flow in the primary feeding vessel to the aneurysm. An initial study compared the compensated MAFA ratio to the results of aneurysm occlusion on follow-up exams. The threshold analysis of the MAFA ratio significantly predicted thrombosis at 12 months below a threshold of 1.03 (P= .035). The authors say, “The MAFA ratio based on DSA flow quantification appears to be a reliable predictor for the assessment of stent treatment outcomes in this small study.” ⁴
Step-by-step workflow || KBA1

Step-by-step workflow

AneurysmFlow supports endovascular treatment of saccular cerebral aneurysms of 5 mm and larger with embolization devices, such as flow diverters. Data acquisition can be controlled at the tableside during the normal workflow, while analysis is performed in the control room.

Step-by-step workflow

AneurysmFlow supports endovascular treatment of saccular cerebral aneurysms of 5 mm and larger with embolization devices, such as flow diverters. Data acquisition can be controlled at the tableside during the normal workflow, while analysis is performed in the control room.

Step-by-step workflow

AneurysmFlow supports endovascular treatment of saccular cerebral aneurysms of 5 mm and larger with embolization devices, such as flow diverters. Data acquisition can be controlled at the tableside during the normal workflow, while analysis is performed in the control room.

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