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多解析度腎圖解摺積技術之定量研究

A Multiresolution Deconvolution Technique for Quantitative Renogram

摘要


核子醫學具有提供活體生理資訊的功能,臨席上可應用至臟器功能代謝作用之定量分析。經由掃描儀測量器官之輸入與輸出的相關時間-活度曲線,與對待測器官之線性非時變的系統特性假設,可以反向推導出器官功能反應函數,此過程稱為解摺積。實際臨席作業上因為時間的限制,會使得輸入及輸出函數取樣不足,運用傳統的解摺積方法會造成求得的反應函數產生高頻的震燙甚至出現負值,不利於臨床分析的正確性,本研究以腎圖為例,探討在取樣資料不足的情況下,利用小波轉換與信號外插,以多解析度的方式補充取樣資料,提昇解摺積的正確性,使得腎圖所代表的腎臟反應函數能精確提供相關腎臟功能的量化資料。從實驗模擬中,對於不正常的腎臟活度曲線,可將均方根差減少30%以上。

關鍵字

解摺積 腎圖 小波轉換

並列摘要


The accurate distribution of transit times and mean transit times of an organ’s metabolism is an important quantitative tool in nuclear medicine, having applications within renal, cardiac, liver and cerebral examinations. A deconvolution algorithm is such a technique that can be used to provide the response of an organ. Practical application of deconvolution requires the incorporation of additional information describing what constitutes an acceptable impulse response into the deconvolution process. In this research, a novel multiresolution deconvolution for renogram is proposed. This method combines wavelet transform with traditional appended curve techniques to improve the accuracy of the kidney impulse response curve and reduce the deconvolution error effectively. Compared with the conventional methods, the proposed method can effectively reduce the root mean square error more than 30%.

被引用紀錄


Huang, C. Y. (2006). 一個基於核子醫學影像來評估腎區域功能變化的新技術 [master's thesis, National Taipei University of Technology]. Airiti Library. https://doi.org/10.6841/NTUT.2006.00390

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