依據不同的PET/CT影像融合順序做3D重建之效能評估

近年來，正子造影影像(PET)大量使用在醫學檢查上，如癌症的檢測。電腦斷層掃描(CT)為解剖性影像，主要功能為觀察人體結構，例如骨骼等，因此在空間資訊上較為準確。因此PET/CT融合影像能觀察代謝資訊，亦可以得到較準確的空間資訊。當我們想要從不同角度，觀察影像的時候，我們必須先建立3D模型，當我們想要觀察哪個切面，只要在模型上切一刀，便可以從任意角度做觀察。這時候我們面臨到一個問題，在這個過程，我們必須先對影像做影像融合，接著3D重建得到切面，或者是先將影像做3D重建，再將切面影像融合。兩種程序，在結果上是否會有差異，如果有差異，何者會較佳。在本篇論文，我們發現這兩種不同的程序，所得到的結果影像的確不相同。我們針對兩張影像去做分析，討論其邊緣以及資訊保留的程度。我們計算影像的亂度以及標準差，發現先融合再3D的結果影像，標準差較高，可以有較佳的邊緣。而先3D找出切面，再做影像融合的結果影像，可以保留更多的資訊。

關鍵字

正子造影；電腦斷層；影像融合； 3D重建

並列摘要

In recent years, positron emission tomography imaging (PET) widely used in medical examinations, such as cancer detection. Computed tomography (CT) for the anatomic images, the main function for the observation of human structures, such as bones, so the spatial information is more accurate. Therefore, PET / CT fusion images can be observed metabolic information, they can get a more accurate spatial information.People have to construct 3D models in the first place when they try to examine images from different angles. Once a cross-section which we want to inspect has been revealed, it can be observed from any angles. However, a issue people encounter in above-mentioned procedures is that they have to either process images fusion at the beginning and then reconstruct the 3D models with these images to generate section or rebuilt the 3D models with these images and fuse section images as the second step. The main objective of this research is to discriminate the divergences and merits between two types of procedures.This research discovers that two different procedures will exactly bring about dissimilar types of images. Therefore, this research particularly aims at the analysis of two images and evaluates the extent of fringe and remaining information. We calculates entropy and standard deviation of the images. Nevertheless, finding section on 3D models first and fusing images secondly will generate the images which retain more information.

並列關鍵字

PET ； CT ； image fusion ； 3D recontruction

參考文獻

3. Gonzalez, R. C. and Woods, R. E., Digital Image Processing, Addison Wessley Publishing Company,1992.

5. Theobald O. J. Fuchs, Marc Kachelries, and Willli A. Kalender, “Fast Volume Scanning Approaches by X-Ray-Computed Tomography”, Proceedings of the IEEE, Vol. 91, No. 10, 2003, pp. 1492-1502.

8. Park J. H., “Multisensor data fusion using wavelet transform,” IECI Chapter Japan Series Vol. 3 No. 1, 2001, pp. 430-437.

9. Mallat, S., “A Theory for Multiresolution Signal Decomposition: The Wavelet Representation,” IEEE Trans. Pattern Anal. Machine Intell., vol. 11, July 1989, pp. 674-693.

10. Wang, Z. and Bovik, A. C.,“A Universal Image Quality Index”,IEEE Signal Processing Letters,vol.9,NO.3, 2002, pp. 81-84.

國際替代計量

依據不同的PET/CT影像融合順序做3D重建之效能評估

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