本論文的研究目的為輔助 X 光拍攝的 Kinect 感測器系統。基於深度影像，首先擷取 X 光拍攝時，X 光設備中的準直儀與偵測器的深度資訊，而依據不同拍攝情形，透過深度值的垂直投影量、深度資訊的變化找出合適參考點，再使用三角函數、幾何特性，將深度資訊轉換成角度資訊，計算出準直儀與偵測器的偏差角度，來調整準直儀與偵測器互相平行，可以得到較好的 X 光影像品質，目前的實驗結果平均誤差約0.35；後續擷取目標物與偵測器的深度資訊，再透過深度值的直方圖統計，計算出目標物的厚度資訊，可以讓放射師不在透過經驗來決定目標物厚度，降低選擇錯誤的 X 光曝光劑量的機會，來避免曝曬過多的輻射劑量，目前的厚度偵測實驗結果平均誤差約3mm，而3mm也為目前 Kinect 的深度資訊的解析度。

The study is to propose an X-ray auxiliary system to assist radiologists to automatically set various parameters by using a Kinect. To have a clear X-ray image, radiologists must make sure that the collimator and the image receptor are parallel. However, it is very difficult for a radiologist to detect a slight angle between the collimator and the image receptor. Thus, this study uses the depth information acquired by a Kinect to calculate the angle between the collimator and the panel detector. With a proper process of the depth image obtained, reference points for different situations can be defined and then, the deviation angle can be calculated through the depth difference of those reference points. Experiments show the proposed approach indeed can detect the angle only with an average 0.35 error. Another issue studied here is to detect the thickness of the object (hand, leg, and chest). This information can be used to decide the X-ray exposure doses so as to prevent over-exposure. An algorithm by using the depth value histogram is proposed to separate objects from the panel detector and the background. Then, the thickness of the object can be calculated with their depth information. Experiments show the proposed approach indeed can detect the thickness of an object only with an average 3mm error, where 3mm is also the resolution of the current Kinect used.

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