Improving Visibility of Stereo-Radiographic Spine Reconstruction with Geometric Inferences
| Autor: | K. Prabhakar Nayak, Sampath Kumar, K S Hareesha |
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| Rok vydání: | 2015 |
| Předmět: |
Adolescent
Computer science Radiography 0206 medical engineering 02 engineering and technology Scoliosis Article 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine medicine Humans Radiology Nuclear Medicine and imaging Point (geometry) Computer vision Child Simulation Radiological and Ultrasound Technology business.industry Orientation (computer vision) 3D reconstruction Visibility (geometry) medicine.disease 020601 biomedical engineering Spine Computer Science Applications Visualization Vertebra medicine.anatomical_structure Radiographic Image Interpretation Computer-Assisted Female Artificial intelligence business |
| Zdroj: | Journal of Digital Imaging. 29:226-234 |
| ISSN: | 1618-727X 0897-1889 |
| DOI: | 10.1007/s10278-015-9841-1 |
| Popis: | Complex deformities of the spine, like scoliosis, are evaluated more precisely using stereo-radiographic 3D reconstruction techniques. Primarily, it uses six stereo-corresponding points available on the vertebral body for the 3D reconstruction of each vertebra. The wireframe structure obtained in this process has poor visualization, hence difficult to diagnose. In this paper, a novel method is proposed to improve the visibility of this wireframe structure using a deformation of a generic spine model in accordance with the 3D-reconstructed corresponding points. Then, the geometric inferences like vertebral orientations are automatically extracted from the radiographs to improve the visibility of the 3D model. Biplanar radiographs are acquired from five scoliotic subjects on a specifically designed calibration bench. The stereo-corresponding point reconstruction method is used to build six-point wireframe vertebral structures and thus the entire spine model. Using the 3D spine midline and automatically extracted vertebral orientation features, a more realistic 3D spine model is generated. To validate the method, the 3D spine model is back-projected on biplanar radiographs and the error difference is computed. Though, this difference is within the error limits available in the literature, the proposed work is simple and economical. The proposed method does not require more corresponding points and image features to improve the visibility of the model. Hence, it reduces the computational complexity. Expensive 3D digitizer and vertebral CT scan models are also excluded from this study. Thus, the visibility of stereo-corresponding point reconstruction is improved to obtain a low-cost spine model for a better diagnosis of spinal deformities. |
| Databáze: | OpenAIRE |
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