A knowledge-based approach to automatic detection of the spinal cord in CT images
| Autor: | J.-F. Germond, Neculai Archip, P.-J. Erard, J.-M. Haefliger, M. Egmont-Petersen |
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| Rok vydání: | 2003 |
| Předmět: |
Adult
Male Databases Factual Image processing Sensitivity and Specificity Pattern Recognition Automated Imaging Three-Dimensional Artificial Intelligence Medicine Humans Computer vision Spinal canal Electrical and Electronic Engineering Radiometry Aged Exposure Radiological and Ultrasound Technology business.industry Orientation (computer vision) Radiotherapy Planning Computer-Assisted Reproducibility of Results Solver Neurophysiology Middle Aged Thoracic Neoplasms Spinal cord Thresholding Computer Science Applications Radiographic Image Enhancement medicine.anatomical_structure Spinal Cord Radiographic Image Interpretation Computer-Assisted Female Radiography Thoracic Artificial intelligence business Tomography X-Ray Computed Software Algorithms |
| Zdroj: | IEEE transactions on medical imaging. 21(12) |
| ISSN: | 0278-0062 |
| Popis: | Accurate planning of radiation therapy entails the definition of treatment volumes and a clear delimitation of normal tissue of which unnecessary exposure should be prevented. The spinal cord is a radiosensitive organ, which should be precisely identified because an overexposure to radiation may lead to undesired complications for the patient such as neuronal disfunction or paralysis. In this paper, a knowledge-based approach to identifying the spinal cord in computed tomography images of the thorax is presented. The approach relies on a knowledge-base which consists of a so-called anatomical structures map (ASM) and a task-oriented architecture called the plan solver. The ASM contains a frame-like knowledge representation of the macro-anatomy in the human thorax. The plan solver is responsible for determining the position, orientation and size of the structures of interest to radiation therapy. The plan solver relies on a number of image processing operators. Some are so-called atomic (e.g., thresholding and snakes) whereas others are composite. The whole system has been implemented on a standard PC. Experiments performed on the image material from 23 patients show that the approach results in a reliable recognition of the spinal cord (92% accuracy) and the spinal canal (85% accuracy). The lamina is more problematic to locate correctly (accuracy 72%). The position of the outer thorax is always determined correctly. |
| Databáze: | OpenAIRE |
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