Original ArticleA New Approach to Contour Detection in X-Ray Arteriograms The WavecontourJanssen, Johannes P. MSc; Koning, Gerhard MSc; de Koning, Patrick J. H. MSc; Bosch, Johan G. MSc; Tuinenburg, Joan C. MSc; Reiber, Johan H. C. PhDAuthor Information From the Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands. Received January 5, 2005 and accepted for publication, after revision, March 15, 2005. Support by MEDIS medical imaging systems BV, Leiden, the Netherlands. Reprints: Jasper Janssen, MSc, Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands. E-mail: [email protected]. Investigative Radiology: August 2005 - Volume 40 - Issue 8 - p 514-520 doi: 10.1097/01.rli.0000170811.71023.6e Buy Metrics Abstract Objectives: We sought to develop a novel approach (the Wavecontour) for the detection of contours in vascular x-ray images, designed to eliminate any systematic underestimation or overestimation for vessel sizes in the range of 0.5 to 15 mm and further minimize the influence of the user-defined start points and end points. Materials and Methods: This method is based on the Wavefront Propagation principle in a 2-stage approach. Two validation experiments were performed: a Plexiglas phantom study (tube sizes ranging from 0.51 to 9.9 mm) and an in vivo patient study (114 patients with various degrees of stenosis). Results: The phantom study demonstrated an accuracy of 0.007 mm and a precision of 0.072 mm. The patient study showed a high similarity between the detected and the expert-drawn contours: 93% for a threshold of 1.0 pixel and 81% for a threshold of 0.5 pixels. Furthermore, the contours are robust in complex lesions and are almost independent in the middle part of the segment from the user-defined start point and end point. A variation of only 0.6 pixels exists in the middle 60% of the contours. Conclusions: Our new Wavecontour approach performs very well on phantom images as well as on clinical data over the whole range of 0.5 to 15 mm and results in more robust QCA/QVA analyses. © 2005 Lippincott Williams & Wilkins, Inc.