自民國七十一年以來，癌症即為國人十大死亡原因之首，近幾年來肺癌更成為國人罹癌症死亡的主要因素。正子發射斷層掃瞄(PET)可以偵測腫瘤細胞代謝葡萄糖的狀況，協助腫瘤的診斷與分期。應用正子發射斷層掃瞄影像中的半量化參數standard uptake value (SUV)，可作為分辨腫瘤惡性程度的指標，減少施行侵入性檢查的必要。
由於良好的正子發射斷層掃瞄影像須耗費數分鐘的時間收集訊號，期間呼吸可能會引起肺部腫瘤移動而產生含有腫瘤移動軌跡的模糊影像。受到呼吸的效應影響，影像中的腫瘤體積變大、腫瘤形狀改變且腫瘤活度分佈也產生變化，進而影響SUV值計算的結果。
本實驗採用動態掃瞄方式造影，配合使用呼吸偵測器分別對點射源及臨床病患進行測試。在點射源的試驗中，以呼吸偵測器所得到的呼吸振幅、正旋圖投影影像中射源移動軌跡與正旋圖投影影像彼此的相關性等三種方式對所取得的所有正旋圖進行分組；在臨床試驗方面，則僅採用呼吸偵測器所反應的呼吸振幅對正旋圖進行分組。
結果顯示動態描掃依照呼吸振幅、正旋圖中射源移動軌跡、正旋圖間相關性等三種方式進行分組都將減少呼吸所產的假影，在點射源實驗中經過呼吸修正與未經過修正的腫瘤體積差異(volume reduction factor, VRF)最大為57.87%，而最大活度密度差異(maximum activity concentration recovery factor, MACRF)為110.3%；對於臨床病患的試驗，VRF最大為18.66%，MACRF最大為6.6%。
本實驗使用三種不同的方式降低呼吸所造成的影響，經過呼吸校正的影像將有助於提升正子發射斷層掃瞄影像量化分析的準確度、提高診斷正確性及訂定放射治療計畫中的靶體積與腫瘤劑量。

From 1982, cancer has been the main cause of people death in Taiwan, and lung cancer has been the leading cause of cancer death in recent years. PET provides the glucose metabolic function of tumor cells, helps to cancer diagnosis and staging. By using the semi-quantitative parameter “standard uptake value” in PET images as the index of tumor malignancy could reduce the necessity of invasive exam. Unfortunately, forming a PET image needs to take several minutes to accumulate enough signals. During the acquisition time, tumor motion could be caused by breathing; therefore, the image may become blurred with tumor trajectory. This respiratory effect could enlarge the tumor volume, change the tumor shape and the tumor activity distribution, and finally underestimate the SUV value. The aim of this study is to reduce the respiratory effect on PET images. This study uses the dynamic scan to acquire PET images, and the respiratory detector to acquire the respiratory amplitudes. In the study of point source, there are tree methods to divide the sinograms into subgroups: the respiratory amplitudes, the point source trajectory in sinograms, and the correlations between sinograms. In clinical trial, only uses the respiratory amplitudes to divide sinograms. The results show that, in point source trial, the tumor volume reduction factor (VRF) is up to 57.87%, and the maximum activity concentration recovery factor (MACRF) is up to 110.3%. For the clinical trials, the VRF is up to 18.66%, and the MACRF is up to 6.6%. This study uses tree different methods to reduce the respiratory artifacts on PET images. Images with respiratory correction will improve the accuracy on image quantitative analysis and accurately diagnose the disease. Furthermore, it provides an accurate target volume for radiotherapy and helps to modulate the tumor dose.

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