Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Other Publications
    • ajnr

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.


AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

 

Research ArticleInterventional

Identification of Vortex Cores in Cerebral Aneurysms on 4D Flow MRI

K. Futami, T. Uno, K. Misaki, S. Tamai, I. Nambu, N. Uchiyama and M. Nakada
American Journal of Neuroradiology December 2019, 40 (12) 2111-2116; DOI: https://doi.org/10.3174/ajnr.A6322
K. Futami
aFrom the Department of Neurosurgery (K.F.), Hokuriku Central Hospital, Toyama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for K. Futami
T. Uno
bDepartment of Neurosurgery (T.U., K.M., S.T., I.N., N.U., M.N.), Kanazawa University School of Medicine, Ishikawa, Japan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for T. Uno
K. Misaki
bDepartment of Neurosurgery (T.U., K.M., S.T., I.N., N.U., M.N.), Kanazawa University School of Medicine, Ishikawa, Japan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for K. Misaki
S. Tamai
bDepartment of Neurosurgery (T.U., K.M., S.T., I.N., N.U., M.N.), Kanazawa University School of Medicine, Ishikawa, Japan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Tamai
I. Nambu
bDepartment of Neurosurgery (T.U., K.M., S.T., I.N., N.U., M.N.), Kanazawa University School of Medicine, Ishikawa, Japan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for I. Nambu
N. Uchiyama
bDepartment of Neurosurgery (T.U., K.M., S.T., I.N., N.U., M.N.), Kanazawa University School of Medicine, Ishikawa, Japan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for N. Uchiyama
M. Nakada
bDepartment of Neurosurgery (T.U., K.M., S.T., I.N., N.U., M.N.), Kanazawa University School of Medicine, Ishikawa, Japan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Nakada
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: The complexity and instability of the vortex flow in aneurysms are factors related to the rupture risk of unruptured cerebral aneurysms. We identified aneurysm vortex cores on 4D flow MR imaging and examined the relationship of these factors with the characteristics of cerebral aneurysms.

MATERIALS AND METHODS: We subjected 40 aneurysms (37 unruptured, 3 ruptured) to 4D flow MR imaging. We visualized streamlines with velocities below the threshold—that is, a percentage value of the aneurysm maximum inflow velocity—and progressively decreased the threshold to identify vortex cores as thin, streamline bundles with minimum velocities. Complexity and stability were compared in aneurysms with a smooth surface and those with blebs or daughter sacs.

RESULTS: The threshold for visualizing vortex cores ranged from 3% to 13% of the maximum inflow velocity. Vortex cores could be visualized in 38 aneurysms; in 2, they were not visualized through the cardiac cycle. A simple flow pattern (single vortex core) was identified in 27 aneurysms; the other 13 exhibited a complex flow pattern. The cores were stable in 32 and unstable in 8 aneurysms. Significantly more aneurysms with-than-without blebs or daughter sacs had a complex flow pattern (P = .006). Of the 3 ruptured aneurysms, 1 aneurysm had an unstable vortex core; in the other 2, the vortex core was not visualized.

CONCLUSIONS: The identification of vortex cores on 4D flow MR imaging may help to stratify the rupture risk of unruptured cerebral aneurysms.

ABBREVIATION:

CFD
computational fluid dynamics

Rupture-risk stratification is crucial to decide appropriate treatments for unruptured cerebral aneurysms to avoid profound complications elicited by invasive treatments. The complexity and instability of the intra-aneurysmal vortical flow have been correlated with the rupture risk of unruptured cerebral aneurysms.1⇓⇓–4 The vortex core line, a skeleton of the vortical flow and defined on the basis of various mathematic definitions,5,6 facilitates the qualitative and quantitative evaluation of the complexity and instability of the intra-aneurysmal flow of aneurysm models using computational fluid dynamic (CFD) simulations.1⇓⇓–4,7,8 However, CFD analysis is based on assumptions and approximations regarding blood properties, vessel wall compliance, and flow conditions,1⇓⇓–4 and the location of the vortex core line depends on mathematic definitions.8 Although 4D flow MR imaging, based on time-resolved 3D cine phase-contrast MR imaging techniques, has been used to evaluate the hemodynamics in human cerebral aneurysms,9⇓⇓–12 the visualization of aneurysm vortex cores with this imaging technique has not been reported. Identification of vortex cores on 4D flow MR imaging may be an alternative to CFD analysis of aneurysm models and may lead to new insights into the role of vortex cores in aneurysm behavior.

In this study, we identified vortex cores by showing streamlines with minimum flow velocities in cerebral aneurysms and examined the relationship between the complexity and stability of the vortex core and the characteristics of cerebral aneurysms.

MATERIALS AND METHODS

The institutional review board of Hokuriku Cetral Hospital approved this study; prior informed consent was obtained from all patients.

This study included 35 patients (13 men, 22 women; mean age, 68.2 ± 10.8 years; range, 41–89 years) with 40 aneurysms (37 unruptured, 3 ruptured). They were located on the cavernous segment (n = 1), the paraclinoid segment (n = 10), and the communicating segment (n = 5) of the ICA; the ICA bifurcation (n = 1); the MCA bifurcation (n = 12); the A1 segment of the anterior cerebral artery (n = 1); the anterior communicating artery (n = 5); and the tip of the basilar artery (n = 5). The maximum diameter and neck size were 6.5 ± 2.8 mm (range, 4.0–15.0 mm) and 5.0 ± 2.1 mm (range, 2.5–11.3 mm), respectively. Their sizes exceeded the spatial resolution of 4D flow MR imaging.11,12

MRI

We used a 1.5T MR imaging scanner (Magnetom Avanto; Siemens, Erlangen, Germany) with a slew rate of 125 T/m/s and an 8-channel head array coil. Contrast-enhanced MRA was performed after the injection of 0.2 mL/kg of gadodiamide delivered via an 18- or 20-ga cannula at a rate of 1 mL/s into the antecubital vein. The scanning parameters were the following: TR/TE/NEX, 4.65/1.74 ms/average 1; flip angle, 20°; band width, 330 Hz/pixel; FOV, 180 × 180 mm; section thickness, 0.7 mm; 1 slab; 60 sections/slab; voxel size, 0.6 × 0.6 × 0.7 mm; transaxial direction.

The parameters for phase-contrast MR imaging were the following: TR/TE/NEX, 33.05/5.63 ms/average 1; flip angle, 22°; band width, 434 Hz/pixel; FOV, 200 × 200 mm; section thickness, 0.8 mm; 1 slab; 24–26 sections/slab; z-coverage, 19.2 mm; matrix, 192 × 192; no interpolation processing; voxel size, 1.04 × 1.04 × 0.8 mm; velocity encoding, 40–60 cm/s; parallel imaging with reduction factor, 2; imaging time, 20–30 minutes depending on the patient’s heart rate; transaxial direction; retrospective gating with an electrocardiogram; temporal resolution, 0.0333 seconds.

Commercially available software (Flova II, Version 2.10.7.0; R’Tech, Hamamatsu, Japan) was used to visualize flow vectors and streamlines on the basis of 3D blood flow information obtained by 4D flow MR imaging. The vascular wall was reconstructed with region-growing13 and marching cubes14 methods applied to datasets obtained by contrast-enhanced MRA. The 3D datasets acquired by phase-contrast MR imaging were converted to voxel datasets at a spatial resolution of 0.5 × 0.5 × 0.5 mm using a vender-provided function.

By means of the Runge-Kutta method,15 streamlines were constructed by integrating flow vectors in the whole intra-aneurysmal region and in close parent arteries. They were visualized at a density of 16 lines/mm2. Because streamlines constructed with forward integration tended to conceal flow structures inside the vortices, we used backward-integration exclusively to visualize the vortex cores.

Data Analysis

By means of a Flova II function, an arbitrary percentage value of the maximum inflow velocity in the aneurysm orifice can be selected as the visualization threshold of flow streamlines in the aneurysm. Byrne et al3 reported that a vortex core line can be constructed by connecting the points along the faces containing the zeros of the reduced velocity in cerebral aneurysms. We visualized the vortex cores as thin, streamline bundles composed of streamlines with velocities below the threshold, which was determined by progressively decreasing the percentage value of the maximum inflow velocity in each aneurysm. The maximum inflow velocity was measured on the aneurysm orifice plane using 4D flow MR imaging as the maximum value during the cardiac cycle.

We defined simple flow patterns as those with a single vortex core and complex flow patterns as those with multiple or nonvisualized vortex cores through the cardiac cycle. Stable flow patterns were defined as those with persistent vortex cores; unstable flow patterns, as those with moving or nonvisualized vortex cores. Because aneurysms with no visualized vortex cores through the cardiac cycle had multiple small vortices beneath the aneurysm surface and irregular streamlines, we attributed this observation to the presence of an extremely complex and unstable intra-aneurysmal flow and recorded them as exhibiting a complex and unstable flow pattern.

We compared the complexity and stability of aneurysms with a smooth surface and those with an irregular wall characterized by blebs or daughter sacs. Three observers (K.F., T.U., and K.M.) independently recorded the number and location of vortex cores. Disagreements were settled by consensus.

For statistical analysis we used the Fisher exact test for categoric variables. Differences of P value < .05 were considered significant.

RESULTS

Figure 1A shows aneurysm flow streamlines with velocities below the threshold determined by progressively decreased percentage values of the maximum inflow velocity of the aneurysm. A single vortex core was observed as a thin, streamline bundle when the threshold was decreased from 30% to 10% of the maximum inflow velocity; at the 5% threshold, the vortex core was a single line. A thin, streamline bundle passed through the center of vortical flow vectors on a cutting plane of the aneurysm dome (Fig 1B). On en face views of the inflow jet of aneurysms, most vortex cores were orthogonal to the inflow jet (Fig 2B). Because the threshold value appropriate for visualizing the vortex cores of individual aneurysms depended on the systolic or diastolic phase of the cardiac cycle and on the vortex core per se, we progressively decreased the threshold by 1% for each aneurysm. Consequently, the threshold for assessing the vortex cores ranged from 3% to 13% of the maximum inflow velocity.

Fig 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 1.

4D flow MR images of flow streamlines with velocities below the threshold determined by the percentage value of the maximum inflow velocity. A, When the threshold was decreased from 30% to 10% of the maximum inflow velocity, a single vortex core was visualized as a thin, streamline bundle. At a threshold of 5%, the vortex core was a single line. B, A thin, streamline bundle passed through the center of vortical flow vectors on a cutting plane of the aneurysm dome.

Fig 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 2.

4D flow MR images of an unruptured aneurysm on the paraclinoid segment of the right ICA. A, Flow vector map. B, The inflow jet is visualized as a layer of streamlines with high velocities. A single stable vortex core (yellow arrow) is visualized in the diastolic (C) and systolic (D) phases of the cardiac cycle. The vortex core is visualized as a bundle of streamlines with velocities below 7% (C) and 10% (D) of the maximum inflow velocity. The aneurysm flow pattern is simple and stable.

Vortex cores could be identified in 38 of the 40 aneurysms; in the other 2, they were not visualized through the cardiac cycle. As shown in the Table, a simple flow pattern (single vortex core) was visualized in 27 aneurysms; the other 13 exhibited a complex flow pattern. The vortex core was stable in 32 aneurysms and unstable in the other 8. There were 15 aneurysms with an irregular wall: Six manifested a simple pattern, and 9, a complex flow pattern. The vortex core was stable in 10 and unstable in 5 of these aneurysms (P = .126). The incidence of a complex flow pattern was significantly higher in aneurysms with an irregular wall (P = .006). Of the 3 ruptured aneurysms, 1 aneurysm exhibited an unstable vortex core; in the other 2, multiple small vortices beneath the aneurysm surface and irregular streamlines were visualized, while no vortex cores were visualized through the cardiac cycle.

View this table:
  • View inline
  • View popup
Table:

Complexity and stability of vortex cores in cerebral aneurysmsa

Case Presentation

Case 1.

A 61-year-old woman presented with an unruptured aneurysm on the paraclinoid segment of the right ICA (Fig 2). The maximum aneurysm diameter and neck size were 7.3  and 5.5 mm, respectively. The maximum inflow velocity was 710 mm/s. A vortex core was visualized as a bundle of streamlines with velocities below the 7% value and below the 10% value of the maximum inflow velocity in the diastolic and systolic phases, respectively (Fig 2C, -D). The vortex core was single and stable through the cardiac cycle. The vortex core was orthogonal to the inflow jet in the aneurysm (Fig 2B). This aneurysm flow pattern was recorded as simple and stable.

Case 2.

A 52-year-old man presented with an unruptured right MCA bifurcation aneurysm with a daughter sac (Fig 3). The maximum aneurysm diameter and neck size were 6.5  and 4.1 mm, respectively. The maximum inflow velocity was 580 mm/s. During the diastolic phase of the cardiac cycle, only 1 vortex core could be visualized (yellow arrow in Fig 3A). However, during the systolic phase, another vortex core was observed; it was directed toward the tip of the daughter sac (red arrow in Fig 3B). These vortex cores were visualized as bundles of streamlines with velocities below the 4% and 7% values of the maximum inflow velocity in the diastolic and systolic phases, respectively. The flow pattern was recorded as complex.

Fig 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 3.

An unruptured right MCA bifurcation aneurysm with a daughter sac. Vortex cores in the diastolic (A) and systolic (B) phases of the cardiac cycle. A single vortex core is visualized in the diastolic phase (A, yellow arrow), and another, in the systolic phase (B, red arrow). The vortex cores are visualized as bundles of streamlines with velocities below 4% and 7% of the maximum inflow velocity in the diastolic and systolic phases, respectively. The flow pattern was recorded as complex.

Case 3.

A 53-year-old man presented with a ruptured right ICA aneurysm with a daughter sac on the tip of the aneurysm (Fig 4). The maximum aneurysm diameter and neck size were 8.7  and 3.5 mm, respectively. The maximum inflow velocity was 620 mm/s. In the diastolic (Fig 4A) and systolic phases (Fig 4B), a vortex core was visualized as a bundle of streamlines with velocities below 4% of the maximum inflow velocity. The vortex core was directed from the aneurysm neck to the daughter sac. The direction of the tip of the vortex core was markedly different during the diastolic and systolic phases (yellow arrows in Fig 4A, -B). The flow pattern was recorded as unstable.

Fig 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 4.

A ruptured right ICA aneurysm with a daughter sac. The vortex core in the diastolic (A) and systolic (B) phases of the cardiac cycle. The vortex core in both phases is visualized as a bundle of streamlines with velocities below 4% of the maximum inflow velocity. The direction of the tip of the vortex core markedly changes during the cardiac cycle (yellow arrows). The flow pattern was recorded as unstable.

Case 4.

A 73-year-old man presented with a large ruptured aneurysm on the tip of the basilar artery (Fig 5). The maximum aneurysm diameter and neck size were 15.0  and 11.3 mm, respectively. The maximum inflow velocity was 820 mm/s. 4D flow MR imaging acquired through the cardiac cycle revealed multiple small vortices beneath the aneurysm surface and irregular streamlines in the aneurysm (Fig 5B, -C). No vortex cores were visualized.

Fig 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 5.

A large ruptured aneurysm on the tip of the basilar artery. A, Flow vector map. Streamlines with velocities below 7% of the maximum inflow velocity in the diastolic (B) and systolic (C) phases. Although multiple small vortices beneath the aneurysm surface and irregular streamlines are visualized, no vortex cores are visualized through the cardiac cycle.

DISCUSSION

We first report that vortex cores in cerebral aneurysms can be identified and evaluated on 4D flow MR imaging, and we document that the incidence of complex flow patterns was significantly higher in aneurysms with blebs or daughter sacs.

A complex and unstable flow pattern is a rupture risk for cerebral aneurysms.1⇓⇓–4 Xiang et al,2 who performed CFD analysis in 38 ruptured and 81 unruptured aneurysms, found that rupture was strongly correlated with a complex flow pattern characterized by multiple vortices. Byrne et al3 evaluated the hemodynamics of 210 aneurysms, including 83 ruptured aneurysms; their CFD analysis showed that ruptured aneurysms manifested a more complex and more unstable flow pattern than unruptured aneurysms. However, Cornelissen et al16 reported that morphologic changes of aneurysms on rupture might affect the results of hemodynamic analysis of ruptured aneurysms. Risk factors obtained by comparing the hemodynamics of ruptured and unruptured cerebral aneurysms should be interpreted with caution. According to Cebral et al,17 the complexity and instability of the intra-aneurysmal flow were related to the aneurysm wall property. Therefore, the complexity and instability of the intra-aneurysmal flow should be considered in the evaluation of the rupture risk of unruptured cerebral aneurysms. Although the vortex core line visualized by CFD analysis facilitates the evaluation of the complexity and instability of vortical flows, aneurysm vortex cores have not been identified on 4D flow MR imaging.

Although vortex cores have been extracted on the basis of a variety of mathematic algorithms,5,6 there is no formal definition.8 The most widely used algorithm is based on reduced velocity3 or the velocity gradient tensor, eg, the Q-Criterion or the λ2-Criterion method.7,18 Köhler et al18 compared the vortical structures semiautomatically extracted using different local vortex criteria on 4D flow MR imaging of the aorta and pulmonary artery. They found that the λ2-Criterion method was most suitable for the extraction of vortices. However, a reliable method to accurately extract the vortex cores of cerebral aneurysms remains to be established. Although Marquering et al19 and Feliciani et al20 quantified vortical structures using scale-space techniques on the basis of 4D flow MR imaging of an aneurysm phantom, they did not apply their method to detect and quantify the vortex cores of human cerebral aneurysms. For the extraction of vortex cores, Byrne et al3 constructed a vortex core line using an algorithm that connects the points along faces containing the zero value of the reduced velocity of intra-aneurysmal vortices. Because Flova II does not feature a mathematic algorithm to extract the vortex cores, we attempted to visualize them by demonstrating the streamlines with minimum velocities. By progressively decreasing the threshold (ie, the percentage value of the maximum inflow velocity), we were able to visualize vortex cores at a range from 3% to 13% of the maximum inflow velocity. Our method is simple and allows visual evaluation of the characteristics of vortex cores in aneurysms.

Blebs or daughter sacs are a risk factor for aneurysm rupture.21⇓–23 In a prospective study, UCAS Japan investigatiors21 followed up 6697 unruptured aneurysms conservatively. They documented that 18.9% featured daughter sacs and that their presence was a risk factor for rupture. Murayama et al22 performed a prospective 10-year cohort study with a mean follow-up duration of 7388 follow-up years; they also found that daughter sacs were a significant independent predictor of rupture. Additionally, Tsukahara et al23 reported that the rupture rate during the first year of their observation of all unruptured aneurysms was 3.42%; it was 28.3% for aneurysms with blebs. We found that aneurysms with blebs or daughter sacs had a complex flow pattern at a significantly higher rate than the other aneurysms (P = .006). Of our 3 ruptured aneurysms, 1 aneurysm had an unstable vortex core. In the other 2, we noted multiple small vortices and irregular streamlines that were attributable to an extremely complex and unstable flow; no vortex cores were identified. Corresponding to earlier reports,1⇓⇓–4 our observations suggest that a complex and unstable intra-aneurysm vortical flow raises the risk for rupture. Moreover, the nonvisualization of vortex cores on 4D flow MR imaging may be related to aneurysm rupture. Therefore, evaluation of vortex cores on 4D flow MR imaging may be useful for the rupture-risk stratification of unruptured cerebral aneurysms.

Our study has some limitations. Flova II is not available for the quantitative evaluation of vortex cores in cerebral aneurysms on 4D flow MR imaging. More sophisticated algorithms are needed to quantify the vortex cores of these aneurysms. Due to the limited spatial and temporal resolution of our 1.5T MR imaging scanner, we may have overlooked small vortex cores that present in a very short time; high-resolution imaging techniques may solve this problem. In addition, the lower signal-to-noise ratio of our MR imaging scanner may have affected the stability of vortex cores; a 3T MR imaging scanner with a head array coil for increasing the signal-to-noise ratio may reduce this effect. In this study, the velocity-encoding value for phase-contrast MR imaging was 40–60 cm/s; it may have compromised our ability to visualize streamlines with minimum velocities on our scans. Studies are underway to identify the optimal velocity-encoding value for the assessment of vortex cores and for determining the aneurysm rupture risk. Our study included only 3 ruptured aneurysms. Large-scale studies may facilitate validation of the role of 4D flow MR imaging for the assessment of the rupture risk of unruptured cerebral aneurysms. Information on ruptured aneurysms subjected to 4D flow MR imaging studies during the observation period must be collected to determine the role of the complexity and instability of vortex cores in the rupture risk. Because such studies are not prone to the effect of morphologic changes on aneurysm rupture,16 hemodynamic studies on 4D flow MR imaging may yield the required information.

CONCLUSIONS

Vortex cores in cerebral aneurysms can be identified and evaluated on 4D flow MR imaging. Significantly more aneurysms with-than-without blebs or daughter sacs had a complex flow pattern. Vortex cores of ruptured aneurysms may not be visualized on 4D flow MR imaging. The evaluation of vortex cores on 4D flow MR imaging may help stratify the rupture risk of unruptured cerebral aneurysms.

References

  1. 1.↵
    1. Cebral JR,
    2. Mut F,
    3. Weir J, et al
    . Association of hemodynamic characteristics and cerebral aneurysm rupture. AJNR Am J Neuroradiol 2011;32:264–70 doi:10.3174/ajnr.A2274 pmid:21051508
    Abstract/FREE Full Text
  2. 2.↵
    1. Xiang J,
    2. Natarajan SK,
    3. Tremmel M, et al
    . Hemodynamic-morphologic discriminants for intracranial aneurysm rupture. Stroke 2011;42:144–52 doi:10.1161/STROKEAHA.110.592923 pmid:21106956
    CrossRefPubMed
  3. 3.↵
    1. Byrne G,
    2. Mut F,
    3. Cebral J.
    Quantifying the large-scale hemodynamics of intracranial aneurysms. AJNR Am J Neuroradiol 2014;35:333–38 doi:10.3174/ajnr.A3678 pmid:23928142
    Abstract/FREE Full Text
  4. 4.↵
    1. Jing L,
    2. Fan J,
    3. Wang Y, et al
    . Morphologic and hemodynamic analysis in the patients with multiple intracranial aneurysms: ruptured versus unruptured. PLoS ONE 2015;10:e0132494 doi:10.1371/journal.pone.0132494 pmid:26147995
    CrossRefPubMed
  5. 5.↵
    1. Hansen
    1. Jiang M,
    2. Machiraju R,
    3. Thompson DS, et al
    . Detection and visualization of vortices. In: Hansen CD, ed. Visualization Handbook. Amesterdam: Elsevier Butterworth-Heinemann; 2005:295–309
  6. 6.↵
    1. Rütten M,
    2. Alrutz T,
    3. Wendland H.
    A vortex axis and vortex core border grid adaptation algorithm. Int J Numer Methods Fluids 2008;58:1299–326 doi:10.1002/fld.1792
    CrossRef
  7. 7.↵
    1. Le TB,
    2. Troolin DR,
    3. Amatya D, et al
    . Vortex phenomena in sidewall aneurysm hemodynamics: experiment and numerical simulation. Ann Biomed Eng 2013;41:2157–70 doi:10.1007/s10439-013-0811-9 pmid:23604953
    CrossRefPubMed
  8. 8.↵
    1. Oeltze-Jafra S,
    2. Cebral JR,
    3. Janiga G, et al
    . Cluster analysis of vortical flow in simulations of cerebral aneurysm hemodynamics. IEEE Trans Vis Comput Graph 2016;22:757–66 doi:10.1109/TVCG.2015.2467203 pmid:26390475
    CrossRefPubMed
  9. 9.↵
    1. Meckel S,
    2. Stalder AF,
    3. Santini F, et al
    . In vivo visualization and analysis of 3-D hemodynamics in cerebral aneurysms with flow sensitized 4-D MR imaging at 3 T. Neuroradiology 2008;50:473–84 doi:10.1007/s00234-008-0367-9 pmid:18350286
    CrossRefPubMed
  10. 10.↵
    1. Boussel L,
    2. Rayz V,
    3. Martin A, et al
    . Phase-contrast magnetic resonance imaging measurements in intracranial aneurysms in vivo of flow patterns, velocity fields, and wall shear stress: comparisons with computational fluid dynamics. Magn Reson Med 2009;61:409–17 doi:10.1002/mrm.21861 pmid:19161132
    CrossRefPubMed
  11. 11.↵
    1. Futami K,
    2. Kitabayashi T,
    3. Sano H, et al
    . Inflow jet patterns of unruptured cerebral aneurysms based on the flow velocity in the parent artery: evaluation using 4D flow MRI. AJNR Am J Neuroradiol 2016;37:1318–23 doi:10.3174/ajnr.A4704 pmid:26892984
    Abstract/FREE Full Text
  12. 12.↵
    1. Futami K,
    2. Nambu I,
    3. Kitabayashi T, et al
    . Inflow hemodynamics evaluated by using four-dimensional flow magnetic resonance imaging and size ratio of unruptured cerebral aneurysms. Neuroradiology 2017;59:411–18 doi:10.1007/s00234-017-1801-7 pmid:28271159
    CrossRefPubMed
  13. 13.↵
    1. Lorensen WE,
    2. Cline HE.
    Marching cubes: a high-resolution 3D surface construction algorithm. SIGGRAPH Comput Graph 1987;21:163–69 doi:10.1145/37402.37422
    CrossRef
  14. 14.↵
    1. Shimai H,
    2. Yokota H,
    3. Nakamura S, et al
    . Extraction from biological volume data of a region of interest with nonuniform intensity. In: Proceedings of the Society of Photo-Optical Instrumentation Engineers 6051, Optomechatronic Machine Vision. Kazuhiko Sumi, Japan. December 5–7, 2005; 6051:605115
  15. 15.↵
    1. Dormand JR,
    2. Prince PJ.
    A family of embedded Runge-Kutta formulae. J Comput Appl Math 1980;6:19–26 doi:10.1016/0771-050X(80)90013-3
    CrossRef
  16. 16.↵
    1. Cornelissen BMW,
    2. Schneiders JJ,
    3. Potters WV, et al
    . Hemodynamic differences in intracranial aneurysms before and after rupture. AJNR Am J Neuroradiol 2015;36:1927–33 doi:10.3174/ajnr.A4385 pmid:26089313
    Abstract/FREE Full Text
  17. 17.↵
    1. Cebral JR,
    2. Duan X,
    3. Chung BJ, et al
    . Wall mechanical properties and hemodynamics of unruptured intracranial aneurysms. AJNR Am J Neuroradiol 2015;36:1695–703 doi:10.3174/ajnr.A4358 pmid:26228891
    Abstract/FREE Full Text
  18. 18.↵
    1. Köhler B,
    2. Gasteiger R,
    3. Preim U, et al
    . Semi-automatic vortex extraction in 4D PC-MRI cardiac blood flow data using line predicates. IEEE Trans Vis Comput Graph 2013;19:2773–82 doi:10.1109/TVCG.2013.189 pmid:24051844
    CrossRefPubMed
  19. 19.↵
    1. Marquering HA,
    2. van Ooij P,
    3. Streekstra GJ, et al
    . Multiscale flow patterns within an intracranial aneurysm phantom. IEEE Trans Biomed Eng 2011;58:3447–50 doi:10.1109/TBME.2011.2163070 pmid:21803678
    CrossRefPubMed
  20. 20.↵
    1. Feliciani G,
    2. Potters W,
    3. van Ooij P, et al
    . Multi-scale 3D+t intracranial aneurysmal flow vortex detection. IEEE Trans Biomed Eng 2015;9294:1–8 doi:10.1109/TBME.2014.2387874 pmid:25576560
    CrossRefPubMed
  21. 21.↵
    1. Morita A,
    2. Kirino T,
    3. Hashi K
    ; UCAS Japan Investigators. The natural course of unruptured cerebral aneurysms in a Japanese cohort. N Engl J Med 2012;366:2474–82 doi:10.1056/NEJMoa1113260 pmid:22738097
    CrossRefPubMed
  22. 22.↵
    1. Murayama Y,
    2. Takao H,
    3. Ishibashi T, et al
    . Risk analysis of unruptured intracranial aneurysms: prospective 10-year cohort study. Stroke 2016;47:365–71 doi:10.1161/STROKEAHA.115.010698 pmid:26742803
    Abstract/FREE Full Text
  23. 23.↵
    1. Tsukahara T,
    2. Murakami N,
    3. Sakurai Y, et al
    . Treatment of unruptured cerebral aneurysms: multi-center study at Japanese national hospital. Acta Neurochir Suppl 2005;94:77–85 doi:10.1007/3-211-27911-3_12 pmid:16060244
    CrossRefPubMed
  • Received June 6, 2019.
  • Accepted after revision August 13, 2019.
  • © 2019 by American Journal of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 40 (12)
American Journal of Neuroradiology
Vol. 40, Issue 12
1 Dec 2019
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Identification of Vortex Cores in Cerebral Aneurysms on 4D Flow MRI
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
K. Futami, T. Uno, K. Misaki, S. Tamai, I. Nambu, N. Uchiyama, M. Nakada
Identification of Vortex Cores in Cerebral Aneurysms on 4D Flow MRI
American Journal of Neuroradiology Dec 2019, 40 (12) 2111-2116; DOI: 10.3174/ajnr.A6322

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Identification of Vortex Cores in Cerebral Aneurysms on 4D Flow MRI
K. Futami, T. Uno, K. Misaki, S. Tamai, I. Nambu, N. Uchiyama, M. Nakada
American Journal of Neuroradiology Dec 2019, 40 (12) 2111-2116; DOI: 10.3174/ajnr.A6322
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATION:
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Identification of Vortex Cores in Cerebral Aneurysms on 4D Flow MRI
  • Reply:
  • Crossref (9)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • SRflow: Deep learning based super-resolution of 4D-flow MRI data
    Suprosanna Shit, Judith Zimmermann, Ivan Ezhov, Johannes C. Paetzold, Augusto F. Sanches, Carolin Pirkl, Bjoern H. Menze
    Frontiers in Artificial Intelligence 2022 5
  • Dynamic modes of inflow jet in brain aneurysms
    Trung Bao Le
    Journal of Biomechanics 2021 116
  • Influence of vortical structures on fibrin clot formation in cerebral aneurysms: A two-dimensional computational study
    Tinashe Ngwenya, Divan Grundlingh, Malebogo N. Ngoepe
    Journal of Biomechanics 2024 165
  • Identification of Vortex Cores in Cerebral Aneurysms on 4D Flow MRI
    S. Meckel, M. Markl, S. Wetzel
    American Journal of Neuroradiology 2020 41 5
  • Three-dimensional vortex characterization in small intracranial aneurysms based on four dimensional flow magnetic resonance imaging at 7 Tesla
    Ang Zhou, Bharathi D. Jagadeesan, Sean L. Moen, Andrew W. Grande, Pierre-Francois Van de Moortele
    AIP Advances 2021 11 9
  • Decreased wall shear stress on 4D-flow-MRI is associated with wall instability of unruptured intracranial aneurysm
    Qichang Fu, Xinmei Ma, Linghao Li, Wanjun Xia, Shanshan Xie, Jumatay Biekan, Mengzhu Wang, Jianfeng Bao, Junying Cheng, Yong Zhang, Sheng Guan, Jingliang Cheng
    European Journal of Radiology 2025 190
  • Enhancing intracranial aneurysm rupture risk prediction with a novel multivariable logistic regression model incorporating high-resolution vessel wall imaging
    Zihang Wang, Chang Yan, Wenqing Yuan, Shuangyan Jiang, Yongxiang Jiang, Ting Chen
    Frontiers in Neurology 2025 15
  • Modal analysis of blood flows in saccular aneurysms
    Thien-Tam Nguyen, Davina Kasperski, Phat Kim Huynh, Trung Quoc Le, Trung Bao Le
    Physics of Fluids 2025 37 1
  • Reply:
    K. Futami, K. Misaki, M. Nakada
    American Journal of Neuroradiology 2020 41 5

More in this TOC Section

  • SAVE vs. Solumbra Techniques for Thrombectomy
  • CT Perfusion&Reperfusion in Acute Ischemic Stroke
  • Delayed Reperfusion Post-Thrombectomy&Thrombolysis
Show more Interventional

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editors Choice
  • Fellow Journal Club
  • Letters to the Editor

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

Special Collections

  • Special Collections

Resources

  • News and Updates
  • Turn around Times
  • Submit a Manuscript
  • Author Policies
  • Manuscript Submission Guidelines
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Submit a Case
  • Become a Reviewer/Academy of Reviewers
  • Get Peer Review Credit from Publons

Multimedia

  • AJNR Podcast
  • AJNR SCANtastic
  • Video Articles

About Us

  • About AJNR
  • Editorial Board
  • Not an AJNR Subscriber? Join Now
  • Alerts
  • Feedback
  • Advertise with us
  • Librarian Resources
  • Permissions
  • Terms and Conditions

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire