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頁籤選單縮合
題 名 | The Thresholding MLEM Algorithm=設有閾值的MLEM影像重建方法之研究 |
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作 者 | 莊克士; 詹美齡; 吳杰; 陳佳如; 倪于晴; 傅應凱; | 書刊名 | Journal of Medical and Biological Engineering |
卷 期 | 24:2 2004.06[民93.06] |
頁 次 | 頁85-91 |
分類號 | 410.1644 |
關鍵詞 | 閾值; 疊代影像重建; MLEM; Threshold; Iterative reconstruction; |
語 文 | 英文(English) |
中文摘要 | 統計疊代式的maximum likelihood expectation maximization (MLEM)影像重建所得影像通常較傳統的filtered backprojection (FBP)方法來得佳。但由於其收斂速度慢,花費時間長,所以侷限了其在臨床的實際應用。本文所提出的設有閾值的MLEM影像重建方法,可縮短MLEM的重建時間。此方法的關鍵是適當地在疊代迴圈中,將低於閾值的像素(體素)不列入重建考慮,以減少疊代迴圈內的總像素數目。由於MLEM的重建時間正比於總像素數目,所以設有閾值的MLEM影像重建方法可以加速收斂速度,初步結果顯示本法亦可減少影像中的誤差。 |
英文摘要 | The maximum likelihood expectation maximization (MLEM) algorithm has several advantages for image reconstruction over the conventional filtered backprojection (FBP). However, the slow convergence rate and the high computation cost for a practical implementation have impeded its clinical applications. In this study, we propose the incorporation of thresholding technique into MLEM to speed up the convergence rate. Owing to the fact that the reconstruction time is proportional to the total number of pixels (voxels), the thresholding technique that nullifies the value of a pixel if it falls below a threshold, can effectively remove the non-active pixels and significantly speed up the reconstruction. Preliminary tests on simulated PET data show that the thresholding technique speeds up the convergence rate and reduce error in the reconstructed image. |
本系統中英文摘要資訊取自各篇刊載內容。