Abstract
목적: 본 연구는 두 개 내 동맥의 CT(Brain CT Angiography) 검사 후 감산 기법과 자동 뼈 제거 기법을 비교하여 영상의 진단적 차이에 대해 알아보고자 한다. 대상 및 방법: 3D 영상처리를 하기 위한 영상을 얻기 위해 256-slice CT를 사용하여 Brain CT Angiography를 검사한 30명의 영상을 이용하였다. 조영제 주입 전 영상과 조영제 주입 후 영상을 3D 영상 처리 장비 SyngoVia와 ISP에 전송하고, 각각 자체기능인 감산기법과 자동 뼈 제거기법을 이용하여 뼈를 제거하여 두 영상을 리커트 척도로 평가 하였다. 결과: SingoVia의 감산 기법을 이용한 영상이 총 평균 2.94점, ISP의 자동 뼈 제거 기법을 이용한 영상이 총 평균 2.57점으로 평가되었고, 최대강도투사에서 SyngoVia는 총 평균 2.93점, ISP는 총 평균 2.56점으로 평가되었다. 결론: CT검사 후 데이터를 이용하여 3D 영상 처리를 함에 있어 CT number값을 이용하여 조영 전 영상과 조영 후 영상을 적용하는 감산 기능을 이용하는 SyngoVia의 사용이 보다 유용한 영상을 표현해내는 것으로 나타났다.Purpose: The purpose of this study is to conduct CT scanning for intracranial artery and compare between subtraction technique and automatic bone removal technique to find out their diagnostic differences. Materials and Method: In order to acquire images for 3D processing, 256-slice brilliance iCT elite was used to generate brain CT angiography images from 30 patients.Pr e-images and post-images were sent to SyngoVia and ISP for 3D visualization, and each system used both subtraction and automatic bone removal techniques to remove the bones from the images.W e compared to image quality by Likert scale. Result: The total average scores of the created images were: 2.94 for the image from SingoVia’s subtraction technique, and 2.574 for the image from ISP’s automatic bone removal technique.T he total average scores from the maximum intensity projection were 2.93 for SyngoVia and 2.56 for ISP. This implies that 3D visualization of a source image which uses images with same parameters may result in imaging variations depending on what kind of 3D workstation is used.I t was not easy to remove the bones that are located close to blood vessels using ISP’s automatic bone removal technique and vessel loss was observed from some of the images. On the other hand, bones were easily removed with little vessel loss using SyngoVia’s subtraction technique. Conclusion: For 3D visualization of post-CT data, it was demonstrated that image expressions were more useful when created by SyngoVia’s subtraction technique using the CT number value to apply pre/post-images.
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