The present invention discloses a method for motion correction and tissue classification of nodules in lung. The method comprises the following steps: capturing perfusion computed tomography (CT) images to produce a maximum intensity projection image and select a region of lung noduie performing a plurality of axial projection on the 3D volume of the lung nodule to produce 2D images of different facets performing 2D image hierarchical rigid registration based on a reference image of one of the 2d images and classifying the lung nodule tissue.本發明係揭露一種肺腫瘤對位校正與組織分類方法,其包含下列步驟:擷取血流灌注性電腦斷層影像以產生最大密度投影影像,並選取出肺腫瘤區域;將肺腫瘤之三維體積進行多個軸向的投影,並產生不同切面的二維影像;以該等二維影像之其中之一為參考影像,進行二維影像階層式剛性對位;以及分類肺腫瘤組織。601~607...步驟流程
