- 期刊
Three-dimensional Reconstruction System for Automatic Recognition of Nasal Vestibule and Nasal Septum in CT Images
並列摘要
At present, computed tomography (CT) images of interest for medical diagnosis are manually selected among a series of images by physicians. This study uses image processing to automatically select the regions of the nasal vestibule and nasal septum using a back-propagation neural network. Three-dimensional (3D) image reconstructions of the nasal regions are conducted to obtain the 3D spatial information. 3D images of the nasal cavity, nasopharynx, and paranasal sinuses are also reconstructed. The representative points are labeled in three surgically risky locations, namely the anterior cranial fossa of the brain and the inferior and medial edges of the orbital rim. The nasal and paranasal sinus conformation and marked points are presented to assist surgeons in the preoperative evaluation. The overall recognition rate of the system for the nasal vestibule and nasal septum is 99.7%. The 3D images are considered to be beneficial by an otolaryngologist from Tri-Service General Hospital in Taiwan. The proposed method can facilitate the preoperative evaluation and improve the quality of medical care.
延伸閱讀
- Wang, Y. W., Chen, C. J., & Jheng, R. R. (2011). Image Reconstruction and Volume Evaluation for the Lung CT Images. 影像處理暨通訊期刊, 3(1), 17-22. https://doi.org/10.30172/JIPC.201112.0004
- Enjilela, E., & Hussein, E. M. A. (2014). Reconstruction of Region-of-Interest Image in Narrow-Field-of-View Computed Tomography without Prior Constraints. Journal of Medical and Biological Engineering, 34(5), 431-438. https://doi.org/10.5405/jmbe.1687
- 曾憲彰、鄭元凱、林嘉德、張文正、蔡銘修、劉嘉銘（2002）。Radiofrequency Volumetric Tissue Reduction of the Inferior Turbinates for the Treatment of Chronic Nasal Obstruction。中華民國耳鼻喉科醫學雜誌，37(1)，22-27。https://doi.org/10.6286/2002.37.1.22
- Young, S. Y., Chern, J. C., Tseng, F. Y., Hsieh, C. S., Lin, H. C., & Tsai, Y. C. (1994). Three-Dimensional Computed Tomography: Its Diagnostic Value in the Evaluation of Acute Maxillofacial Trauma. 中華民國重建整形外科醫學會雜誌, 3(4), 176-182. https://doi.org/10.7096/JPRSA.199412.0176
- Huang, W. C., & Liu, C. L. (2012). An Intelligent Dynamic MRI System for Automatic Nasal Tumor Detection. Advances in Fuzzy Systems, 2012(), 127-133. https://doi.org/10.1155/2012/272570