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/

Zendy Plus

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

Zendy Tools

Zendy Open

The first choice in diagnostic imaging for patients suffering from peripheralarterial disease is 2D ultrasound (US). However, for a proper imaging process,a skilled and experienced sonographer is required. Additionally, it is a highlyuser-dependent operation. A robotized US system that autonomously scans theperipheral arteries has the potential to overcome these limitations. In thiswork, we extend a previously proposed system by a hierarchical image analysispipeline based on convolutional neural networks in order to control the robot.The system was evaluated by checking its feasibility to keep the vessel lumenof a leg phantom within the US image while scanning along the artery. In 100 %of the images acquired during the scan process the whole vessel lumen wasvisible. While defining an insensitivity margin of 2.74 mm, the mean absolutedistance between vessel center and the horizontal image center line was 2.47 mmand 3.90 mm for an easy and complex scenario, respectively. In conclusion, thissystem presents the basis for fully automatized peripheral artery imaging inhumans using a radiation-free approach.

Robotized Ultrasound Imaging of the Peripheral Arteries -- a Phantom Study