Details

Autor(en) / Beteiligte

• Dijkstra, Jouke
• Koning, Gerhard
• Tuinenburg, Joan C
• Oemrawsingh, Pranobe V
• Reiber, Johan H.C

Titel

Automatic stent border detection in intravascular ultrasound images

Ist Teil von

• International Congress series, 2003-06, Vol.1256, p.1111-1116

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2003

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This paper describes a knowledge- and model-based system for the automatic detection of the stent borders in intravascular ultrasound (IVUS) images. The detection consists of four steps starting from a global detection in the transversal images, continues with a local detection and optimization in the transversal images, and finishes with a model-guided optimization in the volumetric dataset. The method shows to be almost automatic and only fails in situations at the edges of the stent where not enough strut information is available to come up with a meaningful three-dimensional model for the endpoints. The method can be very useful during IVUS-guided stent placement, showing the cardiologist the results of the stent placement online. The location of the smallest stent diameter can be selected automatically, providing the opportunity to optimize the stent placement according to established criteria.