Parametrical curves which are described by the following formula:, 4.10where, u is B-spline’s knot vector, Ni,p(u) is B-spline’s basis functions and is the sum of the control points that have been used to approximate spline’s morphology.
Published in Chapter:
New Developments in Intracoronary Ultrasound Processing
Christos V. Bourantas (Michailideion Cardiology Center, Greece & University of Hull, UK), Katerina Naka (Michailideion Cardiology Center, Greece), Dimitrios Fotiadis (Michailideion Cardiology Center, Greece), and Lampros Michalis (Michailideion Cardiology Center, Greece)
Copyright: © 2009
|Pages: 12
DOI: 10.4018/978-1-60566-314-2.ch004
Abstract
Intracoronary Ultrasound (ICUS) imaging is an intravascular catheter-based technique which provides real-time, high resolution, cross-sectional images of coronary arteries. In these images the lumen, the media-adventitia border, the plaque burden and the composition of the plaque can be identified. Conventionally, ICUS border detection is performed manually. However, this process is laborious and time consuming. To enhance the clinical applicability of ICUS, several automated algorithms have been developed for fast ICUS segmentation and characterisation of the type of the plaque. In this chapter the authors present an overview on the developments in ICUS processing and they describe advanced methodologies which fuse ICUS and X-ray angiographic data in order to overcome indigenous limitations of ICUS imaging and provide complete and geometrically correct coronary reconstruction.