| 11. |
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| 12. |
- Birnefeld, Johan, et al.
(författare)
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Cerebral arterial pulsatility is associated with features of small vessel disease in patients with acute stroke and TIA : a 4D flow MRI study
- 2020
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Ingår i: Journal of Neurology. - : Springer. - 0340-5354 .- 1432-1459. ; 267:3, s. 721-730
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Tidskriftsartikel (refereegranskat)abstract
- Cerebral small vessel disease (SVD) is a major cause of stroke and cognitive impairment. However, the underlying mechanisms behind SVD are still poorly understood. High cerebral arterial pulsatility has been suggested as a possible cause of SVD. In population studies, arterial pulsatility has been linked to white matter hyperintensities (WMH), cerebral atrophy, and cognitive impairment, all features of SVD. In stroke, pulsatility data are scarce and contradictory. The aim of this study was to investigate the relationship between arterial pulsatility and SVD in stroke patients. With a cross-sectional design, 89 patients with acute ischemic stroke or TIA were examined with MRI. A neuropsychological assessment was performed 1 year later. Using 4D flow MRI, pulsatile indices (PI) were calculated for the internal carotid artery (ICA) and middle cerebral artery (M1, M3). Flow volume pulsatility (FVP), a measure corresponding to the cyclic expansion of the arterial tree, was calculated for the same locations. These parameters were assessed for associations with WMH volume, brain volume and cognitive function. ICA-FVP was associated with WMH volume (β = 1.67, 95% CI: [0.1, 3.24], p = 0.037). M1-PI and M1-FVP were associated with decreasing cognitive function (β = - 4.4, 95% CI: [- 7.7, - 1.1], p = 0.009 and β = - 13.15, 95% CI: [- 24.26, - 2.04], p = 0.02 respectively). In summary, this supports an association between arterial pulsatility and SVD in stroke patients, and provides a potential target for further research and preventative treatment. FVP may become a useful biomarker for assessing pulsatile stress with PCMRI and 4D flow MRI.
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| 13. |
- Birnefeld, Johan, et al.
(författare)
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Cerebral blood flow assessed with phase-contrast magnetic resonance imaging during blood pressure changes with noradrenaline and labetalol : a trial in healthy volunteers
- 2024
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Ingår i: Anesthesiology. - : Wolters Kluwer. - 0003-3022 .- 1528-1175. ; 140:4, s. 669-678
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Tidskriftsartikel (refereegranskat)abstract
- Background: Adequate cerebral perfusion is central during general anesthesia. However, perfusion is not readily measured bedside. Clinicians currently rely mainly on MAP as a surrogate even though the relationship between blood pressure and cerebral blood flow is not well understood. The aim of this study was to apply phase contrast MRI to characterize blood flow responses in healthy volunteers to commonly used pharmacological agents that increase or decrease arterial blood pressure.Methods: Eighteen healthy volunteers aged 30-50 years were investigated with phase contrast MRI. Intraarterial blood pressure monitoring was used. First, intravenous noradrenaline was administered to a target MAP of 20% above baseline. After a wash-out period, intravenous labetalol was given to a target MAP of 15% below baseline. Cerebral blood flow was measured using phase contrast MRI and defined as the sum of flow in the internal carotid arteries and vertebral arteries. CO was defined as the flow in the ascending aorta.Baseline median cerebral blood flow was 772 ml/min (interquartile range, 674 to 871), and CO was 5,874 ml/min (5,199 to 6,355). The median dose of noradrenaline was 0.17 µg · kg−1 · h−1 (0.14 to 0.22). During noradrenaline infusion, cerebral blood flow decreased to 705 ml/min (606 to 748; P = 0.001), and CO decreased to 4,995 ml/min (4,705 to 5,635; P = 0.01). A median dose of labetalol was 120 mg (118 to 150). After labetalol boluses, cerebral blood flow was unchanged at 769 ml/min (734 to 900; P = 0.68). CO increased to 6,413 ml/min (6,056 to 7,464; P = 0.03).Conclusion: In healthy awake subjects, increasing MAP using intravenous noradrenaline decreased cerebral blood flow and CO. This data does not support inducing hypertension with noradrenaline to increase cerebral blood flow. Cerebral blood flow was unchanged when decreasing MAP using labetalol.
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| 14. |
- Birnefeld, Johan, 1989-
(författare)
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Cerebral hemodynamics in stroke, cerebral small vessel disease and pharmacological interventions : a 4D flow MRI study
- 2024
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Background and aim: Current cerebrovascular imaging techniques provide important information on arterial anatomy and structural pathologies, such as stenoses and occlusions, but physicians are left to infer how the blood flow is affected. In addition, the relationship between blood pressure and cerebral blood flow is complex and poorly understood. Increased transmission of cardiac pulsatility to the cerebral microvasculature has been suggested as a causative factor of cerebral small vessel disease (CSVD) but previous research have yielded conflicting results regarding this relationship. 4D flow magnetic resonance imaging (MRI) is a novel and promising technique enabling time-resolved blood flow quantification with whole-brain coverage and relatively short scan times. However, despite its obvious potential, there is not yet an evidence-based application for the use of 4D flow MRI within stroke or CSVD. This dissertation aimed to apply 4D flow MRI to describe blood flow patterns in posterior circulation stroke and cerebral blood flow responses to common pharmacological agents used to alter arterial blood pressure as well as to examine the relationship between cerebral arterial pulsatility and CSVD.Methods and Results: This doctoral dissertation consisted of four papers, referred to by roman numerals. 4D flow MRI and computed tomography angiography (CTA) were applied in 25 patients with acute ischemic stroke in the posterior circulation and a reference population of 15 healthy elderly (paper I). Individual flow profiles were created for each stroke patient and hemodynamic disturbances as well as collateral compensation were described. We show that hemodynamic findings were related to structural findings from CTA.The cross-sectional relationship between cerebral arterial pulsatility (quantified using 4D flow MRI as pulsatility index [PI] and flow volume pulsatility [FVP]) and features of CSVD were examined using regression analysis in 89 patients with acute ischemic stroke (paper II) and a population-based sample of 862 elderly (paper III). Internal carotid artery FVP was associated with increasing white matter hyperintensity (WMH) volume in patients with stroke and TIA (paper II). In addition, increasing middle cerebral artery FVP and PI were associated with worse cognitive function. In the population sample, high FVP and PI were associated with increasing WMH volume, lower brain volume and the presence of lacunes, but not the composite MRI-CSVD (paper III). Among subjects with MRI-CSVD, displaying symptoms consistent with cerebral small vessel disease was associated with higher WMH volume, lower brain volume and active smoking, but not any measure of pulsatility.Eighteen healthy volunteers were administered noradrenaline to increase mean arterial pressure by 20% above baseline, and labetalol to decrease mean arterial pressure to 15% below baseline (paper IV). Cerebral blood flow was measured using phase-contrast MRI at each blood pressure level and compared to baseline. Despite a marked increase in blood pressure, noradrenaline administration caused a reduction in cerebral blood flow and cardiac output. Meanwhile, labetalol administration caused no change in cerebral blood flow but an increased cardiac output.Conclusions: 4D flow MRI can detect hemodynamic disturbances and discriminate between hemodynamic disturbances and normal flow in patients with structural vascular pathologies. This additional information compared to structural imaging alone could potentially be used for prognosis and selection for procedures in clinical care. Cerebral arterial pulsatility is modestly associated with several MRI and clinical features of CSVD but not all. Cerebral arterial pulsatility as the main risk factor of CSVD seems unlikely but its involvement in the pathophysiology cannot be ruled out. Raising the blood pressure with noradrenaline decreases cerebral blood flow and cardiac output without any redistribution from peripheral to cerebral flow. This highlights the pitfalls of using blood pressure as a surrogate for cerebral blood flow and questions the validity of our understanding of cerebral autoregulation. Lowering the blood pressure with labetalol does not affect cerebral blood flow, reassuring its use in clinical routine. 4D flow MRI can be integrated into an in-patient work-up in selected cases of acute ischemic stroke and into the workflow of large epidemiological studies.
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| 15. |
- Dunås, Tora, et al.
(författare)
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4D flow MRI : automatic assessment of blood flow in cerebral arteries
- 2019
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Ingår i: Biomedical Engineering & Physics Express. - : Institute of Physics Publishing (IOPP). - 2057-1976. ; 5:1
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Tidskriftsartikel (refereegranskat)abstract
- Objective: With a 10-minute 4D flow MRI scan, the distribution of blood flow to individual arteries throughout the brain can be analyzed. This technique has potential to become a biomarker for treatment decisions, and to predict prognosis after stroke. To efficiently analyze and model the large dataset in clinical practice, automatization is needed. We hypothesized that identification of selected arterial regions using an atlas with a priori probability information on their spatial distribution can provide standardized measurements of blood flow in the main cerebral arteries.Approach: A new method for automatic placement of measurement locations in 4D flow MRI was developed based on an existing atlas-based method for arterial labeling, by defining specific regions of interest within the corresponding arterial atlas. The suggested method was evaluated on 38 subjects with carotid artery stenosis, by comparing measurements of blood flow rate at automatically selected locations to reference measurements at manually selected locations.Main results: Automatic and reference measurement ranged from 10 to 580 ml min−1 and were highly correlated (r = 0.99) with a mean flow difference of 0.61 ± 10.7 ml min−1 (p = 0.21). Out of the 559 arterial segments in the manual reference, 489 were correctly labeled, yielding a sensitivity of 88%, a specificity of 85%, and a labeling accuracy of 87%.Significance: This study confirms that atlas-based labeling of 4D flow MRI data is suitable for efficient flow quantification in the major cerebral arteries. The suggested method improves the feasibility of analyzing cerebral 4D flow data, and fills a gap necessary for implementation in clinical use.
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| 16. |
- Dunås, Tora, et al.
(författare)
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A Stereotactic Probabilistic Atlas for the Major Cerebral Arteries
- 2017
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Ingår i: Neuroinformatics. - : Springer Science and Business Media LLC. - 1539-2791 .- 1559-0089. ; 15:1, s. 101-110
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Tidskriftsartikel (refereegranskat)abstract
- Improved whole brain angiographic and velocity-sensitive MRI is pushing the boundaries of noninvasively obtained cerebral vascular flow information. The complexity of the information contained in such datasets calls for automated algorithms and pipelines, thus reducing the need of manual analyses by trained radiologists. The objective of this work was to lay the foundation for such automated pipelining by constructing and evaluating a probabilistic atlas describing the shape and location of the major cerebral arteries. Specifically, we investigated how the implementation of a non-linear normalization into Montreal Neurological Institute (MNI) space improved the alignment of individual arterial branches. In a population-based cohort of 167 subjects, age 64-68 years, we performed 4D flow MRI with whole brain volumetric coverage, yielding both angiographic and anatomical data. For each subject, sixteen cerebral arteries were manually labeled to construct the atlas. Angiographic data were normalized to MNI space using both rigid-body and non-linear transformations obtained from anatomical images. The alignment of arterial branches was significantly improved by the non-linear normalization (p < 0.001). Validation of the atlas was based on its applicability in automatic arterial labeling. A leave-one-out validation scheme revealed a labeling accuracy of 96 %. Arterial labeling was also performed in a separate clinical sample (n = 10) with an accuracy of 92.5 %. In conclusion, using non-linear spatial normalization we constructed an artery-specific probabilistic atlas, useful for cerebral arterial labeling.
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| 17. |
- Dunås, Tora, et al.
(författare)
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Accuracy of blood flow assessment in cerebral arteries with 4D flow MRI : Evaluation with three segmentation methods
- 2019
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Ingår i: Journal of Magnetic Resonance Imaging. - : Wiley. - 1053-1807 .- 1522-2586. ; 50:2, s. 511-518
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Tidskriftsartikel (refereegranskat)abstract
- Background: Accelerated 4D flow MRI allows for high‐resolution velocity measurements with whole‐brain coverage. Such scans are increasingly used to calculate flow rates of individual arteries in the vascular tree, but detailed information about the accuracy and precision in relation to different postprocessing options is lacking.Purpose: To evaluate and optimize three proposed segmentation methods and determine the accuracy of in vivo 4D flow MRI blood flow rate assessments in major cerebral arteries, with high‐resolution 2D PCMRI as a reference.Study Type: Prospective.Subjects: Thirty‐five subjects (20 women, 79 ± 5 years, range 70–91 years).Field Strength/Sequence: 4D flow MRI with PC‐VIPR and 2D PCMRI acquired with a 3 T scanner.Assessment: We compared blood flow rates measured with 4D flow MRI, to the reference, in nine main cerebral arteries. Lumen segmentation in the 4D flow MRI was performed with k‐means clustering using four different input datasets, and with two types of thresholding methods. The threshold was defined as a percentage of the maximum intensity value in the complex difference image. Local and global thresholding approaches were used, with evaluated thresholds from 6–26%.Statistical Tests: Paired t‐test, F‐test, linear correlation (P < 0.05 was considered significant) along with intraclass correlation (ICC).Results: With the thresholding methods, the lowest average flow difference was obtained for 20% local (0.02 ± 15.0 ml/min, ICC = 0.97, n = 310) or 10% global (0.08 ± 17.3 ml/min, ICC = 0.97, n = 310) thresholding with a significant lower standard deviation for local (F‐test, P = 0.01). For all clustering methods, we found a large systematic underestimation of flow compared with 2D PCMRI (16.1–22.3 ml/min).Data Conclusion: A locally adapted threshold value gives a more stable result compared with a globally fixed threshold. 4D flow with the proposed segmentation method has the potential to become a useful reliable clinical tool for assessment of blood flow in the major cerebral arteries.Level of Evidence: 2Technical Efficacy: Stage 2
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| 18. |
- Dunås, Tora, et al.
(författare)
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Automatic labeling of cerebral arteries in magnetic resonance angiography
- 2016
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Ingår i: Magnetic Resonance Materials in Physics, Biology and Medicine. - : Springer Science and Business Media LLC. - 0968-5243 .- 1352-8661. ; 29:1, s. 39-47
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Tidskriftsartikel (refereegranskat)abstract
- In order to introduce 4D flow magnetic resonance imaging (MRI) as a standard clinical instrument for studying the cerebrovascular system, new and faster postprocessing tools are necessary. The objective of this study was to construct and evaluate a method for automatic identification of individual cerebral arteries in a 4D flow MRI angiogram. Forty-six elderly individuals were investigated with 4D flow MRI. Fourteen main cerebral arteries were manually labeled and used to create a probabilistic atlas. An automatic atlas-based artery identification method (AAIM) was developed based on vascular-branch extraction and the atlas was used for identification. The method was evaluated by comparing automatic with manual identification in 4D flow MRI angiograms from 67 additional elderly individuals. Overall accuracy was 93 %, and internal carotid artery and middle cerebral artery labeling was 100 % accurate. Smaller and more distal arteries had lower accuracy; for posterior communicating arteries and vertebral arteries, accuracy was 70 and 89 %, respectively. The AAIM enabled fast and fully automatic labeling of the main cerebral arteries. AAIM functionality provides the basis for creating an automatic and powerful method to analyze arterial cerebral blood flow in clinical routine.
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| 19. |
- Dunås, Tora, 1988-
(författare)
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Blood flow assessment in cerebral arteries with 4D flow magnetic resonance imaging : an automatic atlas-based approach
- 2018
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Background: Disturbed blood flow to the brain has been associated with several neurological diseases, from stroke and vascular diseases to Alzheimer’s and cognitive decline. To determine the cerebral arterial blood flow distribution, measurements are needed in both distal and proximal arteries.4D flow MRI makes it possible to obtain blood flow velocities from a volume covering the entire brain in one single scan. This facilitates more extensive flow investigations, since flow rate assessment in specific arteries can be done during post-processing. The flow rate assessment is still rather laborious and time consuming, especially if the number of arteries of interest is high. In addition, the quality of the measurements relies heavily on the expertise of the investigator.The aim of this thesis was to develop and evaluate an automatic post-processing tool for 4D flow MRI that identifies the main cerebral arteries and calculates their blood flow rate with minimal manual input. Atlas-based labeling of brain tissue is common in toolboxes for analysis of neuroimaging-data, and we hypothesized that a similar approach would be suitable for arterial labeling. We also wanted to investigate how to best separate the arterial lumen from background for calculation of blood flow.Methods: An automatic atlas-based arterial identification method (AAIM) for flow assessment was developed. With atlas-based labeling, voxels are labeled based on their spatial location in MNI-space, a stereotactic coordinate system commonly used for neuroimaging analysis. To evaluate the feasibility of this approach, a probabilistic atlas was created from a set of angiographic images derived from 4D flow MRI. Included arteries were the anterior (ACA), middle (MCA) and posterior (PCA) cerebral arteries, as well as the internal carotid (ICA), vertebral (VA), basilar (BA) and posterior communicating (PCoA) arteries. To identify the arteries in an angiographic image, a vascular skeleton where each branch represented an arterial segment was extracted and labeled according to the atlas. Labeling accuracy of the AAIM was evaluated by visual inspection.Next, the labeling method was adapted for flow measurements by pre-defining desired regions within the atlas. Automatic flow measurements were then compared to measurements at manually identified locations. During the development process, arterial identification was evaluated on four patient cohorts, with and without vascular disease. Finally, three methods for flow quantification using 4D flow MRI: k-means clustering; global thresholding; and local thresholding, were evaluated against a standard reference method.Results: The labeling accuracy on group level was between 96% and 87% for all studies, and close to 100% for ICA and BA. Short arteries (PCoA) and arteries with large individual anatomical variation (VA) were the most challenging. Blood flow measurements at automatically identified locations were highly correlated (r=0.99) with manually positioned measurements, and difference in mean flow was negligible.Both global and local thresholding out-performed k-means clustering, since the threshold value could be optimized to produce a mean difference of zero compared to reference. The local thresholding had the best concordance with the reference method (p=0.009, F-test) and was the only method that did not have a significant correlation between flow difference and flow rate. In summary, with a local threshold of 20%, ICC was 0.97 and the flow rate difference was -0.04 ± 15.1 ml/min, n=308.Conclusion: This thesis work demonstrated that atlas-based labeling was suitable for identification of cerebral arteries, enabling automated processing and flow assessment in 4D flow MRI. Furthermore, the proposed flow rate quantification algorithm reduced some of the most important shortcomings associated with previous methods. This new platform for automatic 4D flow MRI data analysis fills a gap needed for efficient in vivo investigations of arterial blood flow distribution to the entire vascular tree of the brain, and should have important applications to practical use in neurological diseases.
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| 20. |
- Dunås, Tora, et al.
(författare)
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Towards Automatic Identification of Cerebral Arteries in 4D Flow MRI
- 2015
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Ingår i: 16th Nordic-Baltic Conference on Biomedical Engineering. - Cham : Springer International Publishing. - 9783319129662 - 9783319129679 ; , s. 40-43
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Konferensbidrag (refereegranskat)abstract
- 4D flow MRI is a powerful imaging technique which provides an angiographic image with information about blood flow in a large volume, time resolved over the cardiac cycle, in a short imaging time. This study aims to develop an automatic method for identification of cerebral arteries. The proposed method is based on an atlas of twelve arteries, developed from 4D flow MRI of 25 subjects. The atlas was constructed by normalizing all images to MNI-space, manually identifying the arteries and creating an average over the volume. The identification is done by extracting a vascular skeleton from the image, transforming it to MNI-space, labeling it with the atlas and transforming it back to subject space. The method was evaluated on a pilot cohort of 8 subjects. The rate of correctly identified arteries was 97%.
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