建構模擬X-ray影像工具評估不同角度對影像的影響

Construction simulation X-ray image tool for assessment of different angle effect to image

陳文瑩(Weng-Ying Chen)

指導教授 ： 胡威志

中原大學/工學院/生物醫學工程研究所/碩士(2012年)

https://doi.org/10.6840/cycu201200887

摘要

摘要
本研究利用電腦斷層影像(computed tomography ,CT)組成立體模型做為模擬X-ray影像的假體，利用此三維假體建構出可多角度產生X光影像的模擬工具，本論文以顏面骨電腦斷層及心臟電腦斷層的影像建立立體模型為例論述由此立體模型建構X-ray影像之方法。
模擬影像方面則使用疊加法將影像疊加(superimposition method)模擬成X-ray影像，並利用光線投射(ray casting)的概念模擬X-ray穿透物體衰減的物理現象；之後將其模擬影像的結果與Textbook的影像對照其解剖上的結構，藉以探討模擬影像的可行性，並利用訊雜比(Signal to Noise Ratio ，SNR)評估兩種方法產生影像的影像品質。
實驗部分利用顏面骨電腦斷層及心臟電腦斷層的影像組成的三維假體來模擬各種擺位姿勢的X-ray影像，由實驗結果顯示光線投射法比疊加法產生之影像提升約60%的訊雜比，使得影像骨組織部位更易於判讀。而本研究提供一套無遊離輻射的模擬工具可以迅速產生X光影像且簡易操作，可做為放射攝影技術及輔助影像判讀的工具。

關鍵字

關鍵字:模擬X光 ； X光影像 ； 電腦斷層

並列摘要

abstract
This paper discussed methodology of 2D X-ray imaging construction from 3D volume medical imaging data. The computer tomography (CT) images was used to construct a three-dimensional (3D) objects. A simulation tool was developed that could be generating 2D X-ray image at any clinical image study angle.
X-rays image was simulated by superimposition voxel’s values that were used ray casting methodology to simulate attenuation of X-ray to implement the 2D X-ray imaging construction. The image of anatomy structure generated by the proposed simulation was compared with the Textbook at any different positions, and prove the feasibility of the simulation image. And we calculate Signal to Noise Ratio (SNR) to evaluate image quality of our simulation image.
This experiment utilizes the 3D objects constructed by facial bone and heart computed tomography images to simulate X-ray images at any clinical image study angle. The result shows that the SNR of images generated by ray casting method is about 60% higher than images generated by superimposition method, and makes reading bone tissue image easier. This study provides a non-ionizing radiate simulation tool which can quickly generate X-ray images and is easy to use. This program can be a useful tool for teaching and learning the radiographic technique and assistant for reading images.

並列關鍵字

simulation X-ray ； X-ray image ； Key word: computed tomography

參考文獻

[16] 楊博程 ( 2009 ) : “開發三維立體工具模擬左心室運動”，中原大學

[17] 馬銘徽 (2010): “建構左心室四維動態模擬工具評估左心室心肌運動功能”，中原大學

[1] M. Kass, A. Witkin, and D. Terzopoulos, “Snakes: Active Contour Models,” International Journal of Computer Vision, vol. 19, 321-331, 1987.

[2] Rolf Adams and Leanne Bischof , “Seeded Region Growing,” IEEE Transactions on pattern analysis and machine intelligence, vol. 16, no. 6, 641-647, 1994.

[4] Stephen M. Pizer, P. Thomas Fletcher, Sarang Joshi, Andrew Thall, James Z. Chen, Yonatan Fridman, Daniel S. Fritsch, and A. Graham Gash, “Deformable M-Reps for 3D Medical Image Segmentation,” International Journal of Computer Vision, vol. 55, 85-106, 2003.