English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Background Hemodynamic parameters are known to play a crucial role in the growth and rupture of intracranial aneurysms [Appanaboyina IntJNumerMethodsFluids2008]. Flow diverting stents have emerged as an alternative to coiling by using fine meshes to divert flow away from the aneurysm sac to promote thrombus formation and remodeling of the aneurysm while keeping side branches and perforating arteries patent. However, the post procedural course of these aneurysms is not fully predictable. Time-resolved 3D phase-contrast MRI allows for the assessment of three-directional velocity fields. Due to intrinsic long acquisition times, a single velocity encoding step (venc) is typically used [Acevedo-Bolton JCMR2013]. In this work, we use k-t Principal Component Analysis (PCA) [Pedersen MRM2009] in combination with a dual-venc acquisition to acquire highly undersampled 3D flow data for improved accuracy of lower velocities. Flow patterns within the aneurysms are analysed for different stent sizes, including optimal and oversized stents, and compared to the native models.

journal of cardiovascular magnetic resonance

The use of k-t PCA accelerated dual-venc 3D flow MRI to assess hemodynamics before and after flow diverting stent implantation in cerebral aneurysm models