A semiautomatic three-dimensional segmentation method for disarticulation of bone structures on spiral computed tomography images
| Autor: | J. Van Cleynenbreugel, Gilles Marchal, D Kratka, Paul Suetens, L Berben, M. H. Smet |
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| Rok vydání: | 1995 |
| Předmět: |
Cartilage
Articular Wrist Joint Computer science Partial volume computer.software_genre Bone and Bones Edge detection Rendering (computer graphics) Voxel Humans Radiology Nuclear Medicine and imaging Segmentation Computer vision Radiological and Ultrasound Technology business.industry Thresholding Spiral computed tomography Computer Science Applications Visualization Radiographic Image Interpretation Computer-Assisted Hip Joint Artificial intelligence Tomography X-Ray Computed business computer Algorithms Ankle Joint |
| Zdroj: | Journal of Digital Imaging. 8:156-161 |
| ISSN: | 1618-727X 0897-1889 |
| DOI: | 10.1007/bf03168714 |
| Popis: | The use of binary thresholding for segmenting bone structures on spiral computed tomography images is negatively influenced by partial volume effects (PVEs) induced by the image acquisition. PVE leads to mixed voxels, making the binary decision "bone" or "nonbone" a difficult one to take. As a result, two distinct bone structures that are close to each other will often appear to be connected by this method. A typical example consists of "acetabulum/femural head" pairs in the pelvic region. To separate them, a clinical user must interactively draw a disarticulation line. This procedure is time consuming (often interaction in 50 slices is needed) and leads to unsmooth visualization of the disarticulated areas (by three-dimensional [3D] rendering techniques). We developed a semiautomatic cutting algorithm that leads to smooth disarticulated surfaces and considerably decreases the amount of user interaction. A sheet detection operator is applied to automatically separate bone structures. Detected sheets are used as disarticulation lines. Postprocessing ensures that sheets not relevant for the application do not influence the resulting image. Our approach is encapsulated in an interactive segmentation environment based on thresholding and 3D connected-component labeling. Results are shown for pelvic region, wrist, and foot bone disarticulations. |
| Databáze: | OpenAIRE |
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