A New Approach to Contour Detection in X-Ray Arteriograms
| Autor: | Joan C. Tuinenburg, Gerhard Koning, Johan H. C. Reiber, Johan G. Bosch, Johannes P. Janssen, Patrick J.H. de Koning |
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| Rok vydání: | 2005 |
| Předmět: |
Wavefront
Similarity (geometry) Pixel Phantoms Imaging business.industry Angiography X-ray Reproducibility of Results Arterial Occlusive Diseases Image processing Ranging General Medicine Coronary Angiography Imaging phantom Image Processing Computer-Assisted Range (statistics) Humans Radiology Nuclear Medicine and imaging Computer vision Artificial intelligence business Algorithms Mathematics |
| Zdroj: | Investigative Radiology. 40:514-520 |
| ISSN: | 0020-9996 |
| DOI: | 10.1097/01.rli.0000170811.71023.6e |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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