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

In the clinical routine, short axis (SA) cine cardiac MR (CMR) image stacksare acquired during multiple subsequent breath-holds. If the patient cannotconsistently hold the breath at the same position, the acquired image stackwill be affected by inter-slice respiratory motion and will not correctlyrepresent the cardiac volume, introducing potential errors in the followinganalyses and visualisations. We propose an approach to automatically correctinter-slice respiratory motion in SA CMR image stacks. Our approach makes useof probabilistic segmentation maps (PSMs) of the left ventricular (LV) cavitygenerated with decision forests. PSMs are generated for each slice of the SAstack and rigidly registered in-plane to a target PSM. If long axis (LA) imagesare available, PSMs are generated for them and combined to create the targetPSM; if not, the target PSM is produced from the same stack using a 3D modeltrained from motion-free stacks. The proposed approach was tested on a datasetof SA stacks acquired from 24 healthy subjects (for which anatomical 3D cardiacimages were also available as reference) and compared to two techniques whichuse LA intensity images and LA segmentations as targets, respectively. Theresults show the accuracy and robustness of the proposed approach in motioncompensation.

A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks